Дисертації з теми "Multi-temporal Analysi"
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Saha, Sudipan. "Advanced deep learning based multi-temporal remote sensing image analysis." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/263814.
Повний текст джерелаMartorell, Domínguez Agustín. "Modelling tonal context dynamics by temporal multi-scale analysis." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123810.
Повний текст джерелаEsta tesis analiza la naturaleza ambigua, multidimensional y temporal de la tonalidad. El método propuesto parte de la conexión entre espacios tonales y descripciones en tiempo y escala temporal. Esta representación conjunta pone de manifiesto la relación entre las jerarquías espaciales y temporales de la tonalidad. Utilizando un modelo simple de inducción tonal, se propone un método de exploración visual del contexto tonal en obras musicales. Dos estudios perceptuales son abordados desde el entorno descriptivo propuesto. En el primer estudio, se pone en evidencia el impacto de la escala temporal como parámetro de un modelo simple de inducción tonal, y se analizan los artificios matemáticos introducidos por evaluaciones en espacios escalados dimensionalmente. En el segundo estudio se propone un modelo de inestabilidad contextual, y se analiza en relación al modelado de la tensión tonal. El método de análisis se generaliza, a través de una categorización contextual en set-classes.
D'AMATO, VINCENZO STEFANO. "Deep Multi Temporal Scale Networks for Human Motion Analysis." Doctoral thesis, Università degli studi di Genova, 2023. https://hdl.handle.net/11567/1104759.
Повний текст джерелаSaha, Sudipan. "Advanced deep learning based multi-temporal remote sensing image analysis." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/263814.
Повний текст джерелаBoynton, Ansel John. "EARLY WILDFIRE DETECTION USING TEMPORAL FILTERING AND MULTI-BAND INFRARED ANALYSIS." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1048.
Повний текст джерелаPantaleoni, Eva. "Assessing Coastal Plain Wetland Composition using Advanced Spaceborne Thermal Emission and Reflection Radiometer Imagery." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28419.
Повний текст джерелаPh. D.
Yamaguchi, Yasushi, and Megumi Maruyama. "ANALYSIS OF DEFORESTATION IN MATO GROSSO USING MULTI-TEMPORAL LANDSAT TM IMAGERIES." IEEE, 2010. http://hdl.handle.net/2237/14448.
Повний текст джерелаOrstavik, Odd-Halvdan Sakse. "Analysis of chaotic multi-variate time-series from spatio-temporal dynamical systems." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314071.
Повний текст джерелаMARZI, DAVID. "Analysis of multi-temporal spaceborne Earth observation data to map selected land cover classes." Doctoral thesis, Università degli studi di Pavia, 2023. https://hdl.handle.net/11571/1470898.
Повний текст джерелаNowadays, the need for reliable, timely, high-resolution land cover maps is more than urgent if large-scale environmental problems are to be tackled effectively. Many different contexts would in fact benefit from such products, such as climate change, desertification, arctic greening, deforestation, urbanization, soil erosion, forest monitoring, conservation of biodiversity, urban area management, water resources management, agriculture, food security and many others. Due to the fact that the involved variables tend to change very rapidly in time and space, the availability of frequent and good quality global land cover products raises great interest. Several regional/global thematic and land cover maps have been delivered and other are expected, but they often do not meet the specific requirements of various applications; this is mainly due to the fact that all the existing products have been generated from different satellite sensors (optical, radar or both), different sampling strategies, different types of mapped land cover types, different validation protocols, etc. Moreover, the spatial and/or temporal resolution of these products is often insufficient for some applications. In this thesis work, we investigated how to leverage multitemporal optical and SAR data to characterize a very small set of classes rather than a full range of land cover types. Our work focuses on vegetation (including tree species, grasslands, shrublands and others), water bodies (including lakes, seas, rivers and others) and organic croplands (specifically, organic farming practices). Regarding vegetation, the technical literature offers numerous well-established methodologies aimed at mapping vegetated land covers. On the contrary, approaches that use SAR sensors as the main source of data are definitely more scarce. For this reason, part of this thesis work will be devoted to analyze the potential of multitemporal SAR data to characterize several types of natural vegetation. Regarding mapping of water bodies, the scientific literature provides several solutions based on optical and SAR data. However, almost all the analyzed methodologies have some limitations, mainly related to lack of automatism, impossibility to use the proposed method in other regions of interest, relatively low spatial resolution and others. Given the climate change community's need for timely information on the status of water bodies at the global level regardless of weather conditions, in this thesis a methodology aimed at mapping water bodies using sequences of SAR data, that is able to overcome the most severe limitations of the existing methodologies, is proposed. Finally, to characterize organic farmland, several aspects must be detected and monitored, including weed-killer operations, fertilization activities and tillage techniques. To do so, both multitemporal optical and SAR data are exploited to build small detection blocks, that will be part of a more complex organic farming monitoring system aimed at improving transparency and traceability within the organic food supply chain. In general, results showed that SAR and multispectral time series can be successfully employed to classify these land cover types.
Day, Ryan David. "A Framework for Simulating and Analyzing Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/9222.
Повний текст джерелаSencan, Secil. "Decision Tree Classification Of Multi-temporal Images For Field-based Crop Mapping." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605503/index.pdf.
Повний текст джерелаil M. Sc., Department of Geodetic and Geographic Information Technologies Supervisor: Assist. Prof. Dr. Mustafa Tü
rker August 2004, 125 pages A decision tree (DT) classification approach was used to identify summer (August) crop types in an agricultural area near Karacabey (Bursa), Turkey from multi-temporal images. For the analysis, Landsat 7 ETM+ images acquired in May, July, and August 2000 were used. In addition to the original bands, NDVI, PCA, and Tasselled Cap Transformation bands were also generated and included in the classification procedure. Initially, the images were classified on a per-pixel basis using the multi-temporal masking technique together with the DT approach. Then, the classified outputs were applied a field-based analysis and the class labels of the fields were directly entered into the Geographical Information System (GIS) database. The results were compared with the classified outputs of the three dates of imagery generated using a traditional maximum likelihood (ML) algorithm. It was observed that the proposed approach provided significantly higher overall accuracies for the May and August images, for which the number of classes were low. In May and July, the DT approach produced the classification accuracies of 91.10% and 66.15% while the ML classifier produced 84.38% and 63.55%, respectively. However, in August nearly the similar overall accuracies were obtained for the ML (70.82%) and DT (69.14%) approaches. It was also observed that the use of additional bands for the proposed technique improved the separability of the sugar beet, tomato, pea, pepper, and rice classes.
Alberts, Esther [Verfasser], Björn [Akademischer Betreuer] Menze, Björn [Gutachter] Menze, and Claus [Gutachter] Zimmer. "Multi-modal Multi-temporal Brain Tumor Segmentation, Growth Analysis and Texture-based Classification / Esther Alberts ; Gutachter: Björn Menze, Claus Zimmer ; Betreuer: Björn Menze." München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/118744393X/34.
Повний текст джерелаSonnessa, Alberico <1975>. "Slope stability analysis by multi-temporal DEMs and 3D modelling: The 2002 and 2007 Stromboli landslide events." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2676/1/Sonnessa_Alberico_tesi.pdf.
Повний текст джерелаSonnessa, Alberico <1975>. "Slope stability analysis by multi-temporal DEMs and 3D modelling: The 2002 and 2007 Stromboli landslide events." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2676/.
Повний текст джерелаMarshall, Michael Scott. "Slope Failure Detection through Multi-temporal Lidar Data and Geotechnical Soils Analysis of the Deep-Seated Madrone Landslide, Coast Range, Oregon." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/2656.
Повний текст джерелаKorting, Thales Sehn. "GeoDMA: a toolbox integrating data mining with object-based and multi-temporal analysis of satellite remotely sensed imagery." Instituto Nacional de Pesquisas Espaciais (INPE), 2012. http://urlib.net/sid.inpe.br/mtc-m19/2012/07.31.18.22.
Повний текст джерелаThe deployment of a new generation of sensors over the last 20 years has made satellite remotely sensed imagery a very important source of spatial data available for environmental studies of large-scale geographic phenomena. The variety of spatial, temporal and spectral resolutions for remote sensing images is large, ranging from panchromatic images to polarimetric radar images. Despite the great experience in image data gathering and distribution and a diversity of image processing and analysis toolboxes, it is still difficult to find image analysis systems that provide a straightforward fully integrated environment to transform multi-temporal and multiresolution satellite image data into meaningful information. Taking this into account, the contribution of this thesis is two-fold. Firstly, we propose and implement a new toolbox, developed under the Free and Open Source Software (FOSS) foundation, for integrating remote sensing imagery analysis methods with data mining techniques producing a user-centered, extensible, rich computational environment for information extraction and knowledge discovery over large geographic databases. The toolbox is called GeoDMA - Geographic Data Mining Analyst. It integrates techniques of segmentation, feature extraction, feature selection, classification, landscape metrics and multi-temporal methods for change detection and analysis with decision-tree based strategies adapted for spatial data mining. It gathers remotely sensed imagery with other geographic data types using access to local or remote databases. GeoDMA provides simulation methods to assess the accuracy of process mo dels as well as tools for spatio-temporal analysis, including a visualization scheme for temporal profiles that helps users to describe patterns in cyclic events. Secondly, we develop a new approach for analyzing spatio-temporal data based on a polar coordinates transformation that allows creating a new set of features which improves the classification accuracy of multi-temporal image databases. As GeoDMA was built on top of Terra View GIS, thematic maps and other results can be produced rapidly, taking advantage of the basic GIS functionalities. To demonstrate the features of GeoDMA toolbox, five (5) case studies, applied in contexts of land use and land cover change, were carried out in different application domains. Evaluations of these experiments pointed out that the GeoDMA toolbox achieved results with a level of integration, from a user perspective, that could not be found elsewhere.
Hou, Quan. "Spatial restructuring, jobs-housing relationship and commute in urban China : a multi-temporal and mulit-level analysis of Guangzhou." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1429.
Повний текст джерелаAouragh, M’bark. "Dynamique des paysages de l'arganeraie du Sud-Ouest marocain : apport des données de télédétection et perspectives de les intégrer dans un SIG." Thesis, Paris 4, 2012. http://www.theses.fr/2012PA040135.
Повний текст джерелаThe Argan [Argania spinosa (L.) Skeels] is a species of tree endemic to the calcareous semi-desert Sous valley of southwestern Morocco. It is the sole species in the genus Argania (family of Sapotaceae). It is a multi-purpose tree, and the main resource provider for the population of this semi-arid and arid area (source of forage, oil, timber and fuel). Argan is the keystone species of the traditional agro-ecosystem of the Berber society, ensuring a meta-stable equilibrium between resource availability and anthropic use; it plays a major role in preventing erosion and desertification damages.Currently, in spite of the Biosphere Reserve label attributed by UNESCO in 1998, the threat of degradation of the sparse Argan forest is a main concern for both local population and scientists. Since several decades, a decrease of extension area of the species and of tree density has been observed. According to this preoccupation, we have studied the multidimensional space of the Argan forest, in view of identifying its main features and the potential drivers of degradation processes. Then the originality of this area has been demonstrated through the assessment of its social and spatial organization, and of land-use and management practices.In the second part, we have shown the possible use of remotely sensed data and of Geographic Information Systems for surveying land-use/land-cover and for monitoring changes through a multi-temporal analysis of satellite images: SPOT, Landsat, Ikonos and Google Earth imagery. The evaluation of tree density has been performed through object-oriented classification of high spatial resolution satellite imagery (Ikonos, Google Earth). In conclusion, we recommend the effective use of a monitoring system to follow environmental changes in the Argan tree area, and to produce the detailed information needed for implementation of management and conservation strategies ensuring a sustainable development of the area
Jiang, Huijing. "Statistical computation and inference for functional data analysis." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37087.
Повний текст джерелаFofonov, Alexey [Verfasser], Lars [Akademischer Betreuer] [Gutachter] Linsen, Peter [Gutachter] Baumann, and Rüdiger [Gutachter] Westermann. "Visual Analysis of Multi-run Spatio-temporal Simulation Data / Alexey Fofonov. Betreuer: Lars Linsen. Gutachter: Lars Linsen ; Peter Baumann ; Rüdiger Westermann." Bremen : IRC-Library, Information Resource Center der Jacobs University Bremen, 2016. http://d-nb.info/1101939915/34.
Повний текст джерелаVijay, Saurabh [Verfasser], and Matthias Holger [Gutachter] Braun. "Changes of mountain glaciers on different time scales − a multi-temporal remote sensing data analysis / Saurabh Vijay ; Gutachter: Matthias Holger Braun." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2017. http://d-nb.info/1142002349/34.
Повний текст джерелаBiro, Turk Khalid Guma. "Geovisualisation of Multi-Temporal Satellite Data for Landuse/Landcover Change Analysis and its Impacts on Soil Properties in Gadarif Region, Sudan." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-83390.
Повний текст джерелаMehrere Jahrzehnte intensiven Trockenfeldbaus in der Region von Gadarif, welche sich im östlichen Teil des Sudans befindet, führten hauptsächlich aufgrund von landwirtschaftlicher Expansion, politischen Beschlüssen der Regierung und Naturkatastrophen wie Trockenheit zu einer raschen Veränderung der Landnutzung und Landbedeckung. Das wesentliche Ziel dieser Dissertation war es, die Degradation des Landes, sowie die Auswirkungen von landwirtschaftlicher Expansion auf die Landbedeckung, den Boden und den Pflanzenbau im Untersuchungsgebiet, welches Teile der afrikanischen Sahelzone beinhaltet, abzuschätzen. Zur Analyse und Beobachtung der Veränderungen der Landnutzung und Landbedeckung wurden multi-temporale Landsat-Daten der Jahre 1979, 1989 und 1999 sowie ASTER-Daten aus dem Jahr 2009 genutzt, welche eine Fläche von schätzungsweise 1200 km² abdecken. Um Veränderungen von Landnutzung und Landbedeckung aus Satellitenbilddaten zu bestimmen, wurde ein auf Post-Klassifikation basierendes Vergleichsverfahren angewandt. Sechs Landnutzungs- und Landbedeckungsklassen, welche die Namen bewirtschaftetes Land, brach liegendes Land, Waldgebiet, Ödland, besiedeltes Land und Wasserfläche tragen, wurden während des Klassifikationsprozesses bestimmt. Für die vier Aufnahmezeitpunkte der Satellitendaten lag die allgemeine Klassifikationsgenauigkeit zwischen 86 % und 92 %. Während des dreißigjährigen Untersuchungszeitraums fand eine beträchtliche Veränderung der Landnutzungs- und Landbedeckungsstruktur statt. Bewirtschaftete Flächen nahmen in ihrem Anteil signifikant zu und bedeckten innerhalb des Zeitraums von 1979 bis 2009 81 % der früheren Waldgebiete. Der Anteil von brach liegendem Land nahm lediglich während des Zeitraums von 1989 bis 1999 zu. Besiedelte Gebiete breiteten sich über die drei Jahrzehnte kontinuierlich aus und wuchsen innerhalb des Zeitraums von 1979 bis 1989 um eine Fläche von 23 km², sowie um 21 km² zwischen 1989 und 1999 und um 27 km² in dem Zeitabschnitt 1999 – 2009. Eine detaillierte Karte zur Landnutzung und Landbedeckung des Untersuchungsgebiets wurde mittels der Nutzung dual polarisierter (HH und HV) TerraSAR-X Daten aus dem Jahr 2009 erzeugt. Die verschiedenen Landnutzungen und Landbedeckungen im Beobachtungsgelände wurden durch die Anwendung eines objektorientierten Klassifikationsansatzes analysiert. Um Bildobjekte zu erzeugen, wurde für diesen Zweck die auf einer mehrfachen Auflösung basierende Segmentierung der Software Definiens genutzt. Das Werkzeug Feature Space Optimisation wurde für die Optimierung der Attribute der TerraSAR-X Bilder angewandt, damit eine ideale Unterscheidungsfähigkeit entlang der Klassen für die Kartierung der Landnutzungen und Landbedeckungen erreicht werden kann. Zusätzlich zu jenen Klassen, welche mittels optischer Daten abgeleitet wurden, ergaben sich aus SAR-Daten noch die nachfolgenden Landnutzungen und Landbedeckungen: Abgeerntetes Land, Fels, Besiedlung 1 (Gebäude mit landestypischer Bedachung) und Besiedlung 2 (Gebäude mit Betondach). Die Koeffizienten der Rückstreuung entlang der Polarisationen HH und HV waren für einige Klassen unterschiedlich. Der günstigste Trennungsabstand der getesteten spektralen, formgebenden und texturalen Features ergab verschiedene Abweichungen zwischen den bestimmten Klassen der Landnutzung und Landbedeckung. Die Klassifikationsmaßnahmen ergaben eine Gesamtgenauigkeit von 84 % mit einem Kappa-Wert von 0.82. Genauigkeitsunterschiede entlang der Klassen wurden minimal gehalten. Seit über sechs Jahrzehnten wird in der Region Gadarif maschinenbetriebener Trockenfeldbau ausgeübt. In Folge dessen fand eine beträchtliche Abholzung und Überweidung sowie eine schwerwiegende Bodendegradation aufgrund des stetigen konventionellen Feldbaus statt. Um die Auswirkungen der Veränderung von Landnutzung und Landbedeckung auf die ausgewählten Bodenbeschaffenheiten auszuwerten, wurden drei Haupttypen der Landnutzung und Landbedeckung für die weitere Untersuchung ausgewählt: Bewirtschaftetes Land, brach liegendes Land, und Waldgebiet. Zusätzlich zu den Referenzbodenprofilen wurden außerdem für jeden Landnutzungs- und Landbedeckungstyp auf je zehn Probeflächen Bodenproben in zwei Tiefen entnommen. Bei diesen Bodenproben wurden zahlreiche Bodeneigenschaften analysiert, wie etwa Textur, Bodendichte (BD), organischer Materialgehalt (OM), pH-Wert des Bodens, elektrische Leitfähigkeit (EC), Adsorptionsgeschwindigkeit von Natrium (SoAR), Phosphorgehalt (P) sowie Kaliumgehalt (K). Labortests ergaben, dass die Bodeneigenschaften signifikant durch die Veränderungen der Landnutzung und Landbedeckung beeinflusst werden. Innerhalb der verschiedenen Landnutzungs- und Landbedeckungstypen variierte der Tongehalt in den Deckschichten (0 – 5 cm und 5 – 15 cm) zwischen 59 % und 65 %, wohin gegen sich die Lehmanteile von 27 % bis 37 % bewegten. Bodendichte, organischer Materialgehalt und Phosphorgehalt zeigten signifikant unterschiedliche Werte bei den drei Typen der Landnutzung und Landbedeckung (p < 0.05). Der pH-Wert des Bodens war signifikant verschieden zwischen bewirtschaftetem Land und Waldgebiet zum einen, und zwischen brach liegendem Land und Waldgebiet zum anderen. Die Werte der elektrischen Leitfähigkeit und der Adsorptionsgeschwindigkeit von Natrium bei brach liegendem Land erwiesen sich als maßgeblich verschieden zu jenen von Waldgebieten (p < 0.05). Auf dem Trockenland-Vertisolboden der Region Gadarif im Sudan wurde mehr als ein Drittel der nationalen Hirseproduktion erwirtschaftet – dem Haupternährungserzeugnis des Landes. Bodenverdichtung erwies sich als eines der weltweiten Hauptprobleme für den Pflanzenbau. Bodenfestigkeit und Versickerungsrate sind wichtige Variabeln, um Bodenprozesse verstehen und vorhersagen zu können. Die Auswirkungen der drei verschiedenen Landnutzungssysteme (bewirtschaftetes Land, brach liegendes Land und Waldgebiet) auf die Bodenverdichtung und Versickerungsrate wurden an zwei Standorten im Beobachtungsgebiet untersucht. Standort 1 ist der ältere der beiden. Der Widerstand der Bodenpenetration (SPR) wurde in drei Tiefen durch eine manuell angewandte Rammsonde gemessen. Mittels der Nutzung eines Doppelring-Infiltrometers ist die Versickerungsrate im Feld gemessen worden. Im Anschluss an die Probenentnahme mittels Rammsonden wurden Bodenproben gesammelt, um jene Variabeln bestimmen zu können, welche den Widerstand der Bodenpenetration sowie der Versickerungsrate im Vergleich zur Partikelgröße, zur trockenen Bodendichte, zum volumetrischen Feuchtigkeitsgehalt (VMC) und zum organischen Karbongehalt (OC) beeinflussen. Für jeden Landnutzungstypen wurden Feldmessungen durchgeführt und Bodenproben entnommen. Die gemessenen Daten der Versickerungsrate wurden in das Kostiakov-Modell eingespeist, um die gesamte Bodenwasserversickerung vorhersagen zu können. Die Bodenverdichtung bei bewirtschaftetem Land war 65 % stärker als bei Waldgebiet. Für Waldgebietsflächen wurde eine Zunahme der Versickerungsrate um 87 % verglichen mit bewirtschaftetem Land und um 74 % im Vergleich zu brach liegendem Land aufgezeigt. Beide Untersuchungsstandorte zeigten eine Zunahme in der trockenen Bodendichte für den Fall, dass der Widerstand der Bodenpenetration zunimmt, während der volumetrische Feuchtigkeitsgehalt mit zunehmendem Bodenpenetrationswiderstand abnimmt. Ebenso wurde beobachtet, dass ein geringer organischer Karbongehalt in Verbindung zu hohen Widerstandswerten der Bodenpenetration steht. Bei Standort 1 passte der durchschnittliche Bestimmungskoeffizient (R²) der Versickerungsrate zum Kostiakov-Modell mit den Werten 0.65 für bewirtschaftetes Land, 0.73 für brach liegendes Land und 0.84 für Waldgebiet. Für Standort 2 indessen ergaben die Werte 0.63, 0.76 und 0.78. Landwirtschaft, die in vielen Formen ausgeübt wird, ist die Haupttätigkeit in der Region Gadarif, und geht mit verschiedenartigsten Umweltauswirkungen und Konsequenzen einher. Kontinuierliche Feldbestellung des bewirtschafteten Landes, verbunden mit ungeeigneter Bodenbewirtschaftung, hat sich seit jenem Zeitpunkt, als sich die Landnutzung von Waldgebiet zu bewirtschaftetem und brach liegendem Land änderte, zu Bodenschädigung geführt. Daher muss die Entwicklung nachhaltiger Landnutzungspraktiken beim Trockenfeldbau im Untersuchungsgebiet verbessert werden, damit in Zukunft der Umfang der Bodendegradation verringert werden kann
DiGirolamo, Paul A. "A comparison of change detection methods in an urban environment using LANDSAT TM and ETM+ satellite imagery a multi-temporal, multi-spectral analysis of Gwinnett County, GA 1991-2000 /." unrestricted, 2005. http://etd.gsu.edu/theses/available/etd-07242006-110800/.
Повний текст джерелаTitle from title screen. Zhi-Yong Yin, committee chair; Paul Knapp, Truman Hartshorn, committee members. Electronic text (135 p. : col. ill., col. maps)) : digital, PDF file. Description based on contents viewed Aug. 2, 2007. Includes bibliographical references (p. 125-133).
DiGirolamo, Paul Alrik. "A Comparison of Change Detection Methods in an Urban Environment Using LANDSAT TM and ETM+ Satellite Imagery: A Multi-Temporal, Multi-Spectral Analysis of Gwinnett County, GA 1991-2000." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/anthro_theses/18.
Повний текст джерелаBiswas, Tanushree. "A Spatio-Temporal Analysis of Landscape Change within the Eastern Terai, India : Linking Grassland and Forest Loss to Change in River Course and Land Use." DigitalCommons@USU, 2010. http://digitalcommons.usu.edu/etd/610.
Повний текст джерелаTorres, Daniela Ricalde. "ANÁLISE MULTITEMPORAL DO USO DA TERRA E COBERTURA FLORESTAL COM DADOS DOS SATÉLITES LANDSAT E ALOS." Universidade Federal de Santa Maria, 2011. http://repositorio.ufsm.br/handle/1/8688.
Повний текст джерелаThe monitoring of the use and coverage is very important when studying determined regions, just because it helps knowing the environmental reality and contributes to solve problems that can probably appear. This research was done from the images of ALOS and LANDSAT satellites. Its main objective was to have a multi-temporal analysis of Arroio Grande micro watershed, central region of Rio Grande do Sul. The specific purposes were to identify and to quantify the different classes of land use found in this micro watershed along the 1987, 1998, 2002, 2005, 2007 and 2009 periods, as well as cross the land use information to show the forest coverage changes during the 22 years of analysis. The software SPRING 5.1.7 was employed to classify the supervised images through Bhattacharya, a sorter algorithm, and the map spatial analysis was done through the Spatial Language of Algebraic Geoprocessing program with the same computational application. The classes of land use as forest, field, agriculture, irrigated agriculture, exposed soil and water layer were observed in the images of each year in this analysis. These classes were utilized in the spatial analysis of the forest coverage in which forest monitoring parameters have been defined (forest maintenance and regeneration, deforestation). In this research the principal results that have been noticed were the increase of 17,98% on the distributed forest coverage, mainly in the areas of bigger declination, and the reduction of 16,32% on the field area. The analysis of the spatial forest coverage has presented stability with the landscape, in a gradual progression, because the area of forest maintenance, found in these 22 years, was 12.252,60ha, the forest regeneration was 4.389,12ha and only 1.853,82ha of deforested area.
O monitoramento do uso e cobertura da terra faz-se importante no estudo de determinadas regiões, pois auxilia no conhecimento da realidade ambiental e contribui na busca por soluções de problemas que possam se apresentar. A partir do uso de imagens dos satélites, ALOS e LANDSAT, foi realizada esta pesquisa com o objetivo principal de fazer uma análise multitemporal na microbacia do Arroio Grande, região central do Rio Grande do Sul, cujos objetivos específicos foram: Identificar e quantificar as diferentes classes de uso da terra encontradas na microbacia nos períodos de 1987, 1998, 2002, 2005, 2007 e 2009; além de cruzar as informações de uso da terra, evidenciando a cobertura florestal que sofreu alterações no decorrer dos 22 anos de análise. Para tanto, foram utilizados o software SPRING 5.1.7 para a classificação supervisionada das imagens, com a adoção do algoritmo classificador Bhattacharya, e a análise espacial dos mapas com a programação LEGAL do mesmo aplicativo computacional. Para esta análise, foram observadas as classes de uso do solo: floresta, campo, agricultura, agricultura irrigada, solo exposto e lâmina d água, nas imagens de cada ano. Estas classes foram empregadas na análise espacial da cobertura florestal em que foram definidos parâmetros para o monitoramento florestal (manutenção florestal, regeneração florestal e desmatamentos). Os principais resultados notados, nesta pesquisa, foram o aumento de 17,98% na cobertura florestal distribuída, principalmente, nas áreas de maiores declividade, e a redução de 16,32% sobre a área de campo. Quanto à análise espacial da cobertura florestal, esta mostrou-se em estabilidade com a paisagem, e em gradual progressão, pois a área de manutenção florestal encontrada, nestes 22 anos, foi de 12.252,60 ha, a regeneração florestal foi de 4.389,12 ha e apenas 1.853,82 ha de área desmatada.
Chen, Xi. "Learning with Sparcity: Structures, Optimization and Applications." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/228.
Повний текст джерелаSivertun, Åke. "Geographical Information Systems (GIS) as a tool for analysis and communications of multidimensional data." Doctoral thesis, Umeå universitet, Institutionen för geografi och ekonomisk historia, 1993. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-100703.
Повний текст джерелаDiss. (sammanfattning) Umeå : Umeå universitet, 1993, härtill 6 uppsatser.
digitalisering@umu
Basu, Kaustav. "Techniques avancées de classification pour l'identification et la prédiction non intrusive de l'état des charges dans le bâtiment." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT089/document.
Повний текст джерелаSmart metering is one of the fundamental units of a smart grid, as many further applicationsdepend on the availability of fine-grained information of energy consumption and production.Demand response techniques can be substantially improved by processing smart meter data to extractrelevant knowledge of appliances within a residence. The thesis aims at finding generic solutions for thenon-intrusive load monitoring and future usage prediction of residential loads at a low sampling rate.Load monitoring refers to the dis-aggregation of individual loads from the total consumption at thesmart meter. Future usage prediction of appliances are important from the energy management point ofview. In this work, state of the art multi-label temporal classification techniques are implemented usingnovel set of features. Moreover, multi-label classifiers are able to take inter-appliance correlation intoaccount. The methods are validated using a dataset of residential loads in 100 houses monitored over aduration of 1-year
Biro, Turk Khalid Guma Verfasser], Manfred [Akademischer Betreuer] Buchroithner, Franz [Akademischer Betreuer] [Makeschin, and Volker [Akademischer Betreuer] Hochschild. "Geovisualisation of Multi-Temporal Satellite Data for Landuse/Landcover Change Analysis and its Impacts on Soil Properties in Gadarif Region, Sudan / Khalid Guma Biro Turk. Gutachter: Manfred Buchroithner ; Volker Hochschild ; Franz Makeschin. Betreuer: Manfred Buchroithner ; Franz Makeschin." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://d-nb.info/1068442387/34.
Повний текст джерелаAKBARITABAR, ALIAKBAR. "QUANTITATIVE SOCIOLOGY OF ACADEMIC WORK IN AN ERA OF HYPERCOMPETITION AND RANKINGS." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/635951.
Повний текст джерелаBoivin, Maxime. "Analyse par bilan ligneux de la dynamique des bois morts à multiples échelles spatiales et temporelles dans une rivière semi-alluviale de région froide." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEN006/document.
Повний текст джерелаThis thesis is an analysis of the dynamics of large wood in river by a multi-scale large wood budget approach in a semi-alluvial river of cold regions: the Saint-Jean River, Gaspé. The study of the spatial and temporal variability of the dynamics of large wood was carried out through a methodological approach combining four years of field and by analyzing historical documents. The rivers of the Gaspé Peninsula produce annually and carry large amounts of large wood. This production comes from the high specific power of rivers and by banks composed of noncohesive sediment and having a generally dense riparian forest tree. Until 2015, the Delta of the Saint-Jean River had several very large jams. These jams are put in place since the 1960s, they represent a unique opportunity to quantify and apply a wood budget and to identify key variables related to the dynamics of large wood at multiple spatial and temporal scales.Our results show that almost all large wood in river is produced by lateral migration and by the influence of the morphology. For the accumulations in the river corridor, two areas accumulate the majority of wood and these first results show a significant mobility, which can fluctuate substantially from year to year. In terms of mobility, video analysis of three different events showed that the intensity of the transport (number of large wood per minute) can be higher to ten times during an event with mechanical ice-breakup, compared to an open water.hydroclimatic event.Finally, we conducted an analysis by large wood budget and analysis of eco-hydromorphological trajectory over more than 50 years. We quantified each component (input, output and accumulated) of a large wood budget at multiple spatial and temporal scales. At the interannual scale or decadal, scale, the dynamics of large wood have periods when the input, storage and mobility of large wood differ according to eco-hydromorphological contexts. The eco-hydromorphological trajectory suggests an increase in river dynamics due to a significant change in the hydrology, resulting in higher production and mobility of large wood and increased in volumes accumulated in the corridor of the Saint-Jean River since the last decade
Villemure, Marlene. "Fine grained sediment clean-up in a modern urban environment." Thesis, University of Canterbury. Geological Sciences, 2013. http://hdl.handle.net/10092/8356.
Повний текст джерелаMidaglia, Carmen Lucia Vergueiro. "Proposta de implantação do índice de abrangência espacial de monitoramento - IAEM por meio da análise da evolução da rede de qualidade das águas superficiais do estado de São Paulo." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/8/8136/tde-03022010-165719/.
Повний текст джерелаThis Ph.D. research makes a correlational evaluation between the spatial evolution of the monitoring network of inland surface waters of State of São Paulo, through the number of sampling points and its density throughout the 30 years of existence of same and the population growth (urbanization) and the population density in the 22 units of water management units of the São Paulo State. It also analyzes if these points had kept the capacity to represent the status of the quality of the water in function of the population growth, and if it is necessary to expand or to rearrange the network in some regions. This comparison was more rational with the use of the resources of the geo-information applied for water resources planning and management, with the construction of SIG SP_WATERNET and with the proposal of an multi-criteria evaluation monitoring index concerning the 22 water management units throughout a studied period. This index can point out the coverage or the vulnerability of the monitoring efficiency of the superficial waters network of São Paulo State.
Favillier, Adrien. "Impacts du changement climatique sur l’activité des avalanches dans les Alpes : apports de la dendrogéomorphologie pour la reconstitution spatiotemporelle de l’activité des avalanches dans un contexte de changements environnementaux dans les hautes vallées du Guil et du Rhône Disentangling the impacts of exogenous disturbances on forest stands to assess multi-centennial tree-ring reconstructions of avalanche activity in the upper Goms Valley (Canton of Valais, Switzerland) Spatio-temporal maps of past avalanche events derived from tree-ring analysis: a case study in the Zermatt valley (Valais, Switzerland) Tree-ring reconstruction of snow avalanche activity: Does avalanche path selection matter? Non-stationarities induced by land-cover changes in dendrogeomorphic reconstructions of snow avalanche activity: Insights from the Queyras massif (French Alps) Complex signals in regional tree-ring reconstructions of snow avalanches: lessons from the Goms valley (Swiss alps) Impacts des fluctuations climatiques sur l’activité des avalanches dans le Queyras." Thesis, Université Clermont Auvergne (2017-2020), 2019. http://theses.bu.uca.fr/nondiff/2019CLFAL024_FAVILLIER.pdf.
Повний текст джерелаFor the 20th century, high mountain areas, such as the Alps, have undergone a significant warming with temperature increase twice as much as the global average. Such warming strongly alters the cryosphere components. It induces, for example, a shift from solid to liquid precipitation, more frequent and more intense snowmelt phases or a strong decrease in the amount and duration of snow cover, especially at the elevation of the snowrain transition. In the future, climate models forecast that snow depth will be significantly reduced and that snow properties such as snow stability will be modified. These changes in snow cover characteristics and amounts are expected to induce significant changes in snow avalanches activity. At the same time, afforestation induced by the abandonment of agriculture and grazing, the democratization of winter recreation activities and the urban sprawl on the slopes have strongly modified the mountain landscapes since the mid-18th century as well as the exposition of individuals to snow avalanches. In this context, a precise documentation of past snow avalanche activity is crucial to decipher and to understand the impacts of the undergoing climate warming on the snow avalanche activity. To date, this documentation usually relies on historical chronicles or systematic observations. However, the firsts are often discontinuous and focused on catastrophic events. The seconds are limited to the second half of the 20th century thus precluding a comparison from climatically distinct period. On forested paths, the dendrogeomorphic approach is theoretically a reliable approach complement to historical archives and series of systematic observation to infer past snow avalanche activity. Yet, so far, the robustness of this approach has been poorly questioned and no regional chronology, crucial to disentangle potential interferences between snow avalanche activity, climate fluctuations and socio-economic changes, has been developed in the Alps. In this PhD thesis proposes new methodological frameworks to (1) detect avalanche events from tree-ring series, (2) remove non-stationarities related to the decreasing number of trees over time in the reconstruction and (3) aggregate locals reconstructions in regional chronologies. Based on these development, homogenized multicentennial regional chronologies developed (4) for 10 paths of the Goms Valley (Valais canton, Swiss Alps, 1880-2014) and (5) 11 paths from the Queyras Massif (French Alps, 1560-2016) are confronted to climatic fluctuations and land use changes. At Goms, the absence of clear climatic signal in the regional chronology evidence the interference with local nonstationarities and question the need for a sampling strategy at the regional scale to create a robust chronology. In the Queyras massif, the strong decrease of avalanche activity observed over the 20th century is attributed to global warming and to the afforestation process
Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.
Повний текст джерелаWang, Chin-Wen, and 王琴雯. "Using Multi-temporal Images to Analysis Land Degradation of Landslide." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/nm3a5k.
Повний текст джерела國立彰化師範大學
地理學系
106
Land degradation and climate change are global issues in recent years. There are many landslides in Taiwan due to its fragile geology, abundant rainfall and high population density. The frequency of extreme precipitation and the rainfall intensity are increasing in Taiwan due to the global climate change. It may result in mudslide and landslides. Landslides may become high-risk areas where productivity decline. This study discusses whether land degradation trigged by landslide occurs in Taiwan or not. Meanwhile, we will discover the factors that affect the landslides. This study analyzed land degradation through satellite images, geographic information systems(GIS), and Normalized Difference Vegetation Index(NDVI). It’s defined as the stable area where the change rate of NDVI is between -0.05~0.05. Besides, those are the degraded area where the decrease rate of NDVI is more than 0.05 per ten years. At last, we will discuss the differences of environmental factors among each research areas. The results show that the landslides often occur in the Sansia Fm, the windward slope, and the elevation below 2000 meters. Landslide often occurred in these area after earthquakes and typhoons disturbance. The land become bare after disasters, but vegetation will recover in two years. It means that the environment of Taiwan mountain area is highly resilient.
Pádua, Luís Filipe Machado. "Automatic analysis of UAS-based multi-temporal data as support to a precision agroforestry management system." Doctoral thesis, 2021. http://hdl.handle.net/10348/10417.
Повний текст джерелаForest and agriculture ecosystems are prone to disturbances caused by human action or natural effects. For instance, climate change is projected to be a key influence on vegetation across the globe. Regarding agriculture, primary climate vectors with a significant impact include temperature, moisture stress, and radiation. Within this context, it is of foremost importance to monitor crops along time, as well as to detect pests, diseases, assess and control irrigation demands. Regular monitoring activities will enable timely measures that may trigger field interventions that are used to preserve health status of crops, achieving both time and economic gains, while assuring a more sustainable activity. Within this scope, precision agriculture (PA) techniques appear as an effective alternative to the traditional agronomy practices. In fact, the technological advances that promote PA are able to enhance support when making decisions, resulting in agronomical processes upgraded by employing site or plant specific management operations. In this regard, the capabilities of unmanned aerial vehicles (UAVs) to provide flexible, efficient, non-destructive, and non-invasive means of acquiring data on agricultural crops and the various agro-environmental factors of the parcel, can be used for PA applications. The high- temporal, radiometric and spatial resolutions achieved by UAV-based aerial imagery make possible to foresee new and important advances in PA practices. In this study it is presented the development of a management support system for the agriculture and forestry sectors, based on the analysis of multi-temporal data obtained through different sensors coupled to UAVs. With a continuous monitoring, it is intended to monitor the vegetative development and to identify, in an early and (semi)automatic way, potential issues, allowing their localized mitigation, through methodologies and algorithms developed for this purpose. To meet these main objectives, two important agricultural crops from the region of Trás-osMontes and Alto Douro (Portugal) economy, were identified: the grapevine (Vitis vinifera L.); and the European chestnut (Castanea Sativa Mill.). Both of these crops have a high socioeconomic relevance for the population of this region and represent an important share of national production. Thus, the work is divided into two parts, one focuses on monitoring chestnut stands and the other focuses on vineyards. The several differences among these two species in the planting typology and their geometry, make the approaches to each of the sectors also different. However, this fact will allow the adaptation of the proposed methodologies to almost all agricultural species, regardless of the type and the way they are arranged, in a grid or in rows. Although there are several approaches to detect and monitor vegetation through aerial imagery, most of them remain dependent of manual extraction of vegetation parameters. This work presents automatic methods that allow—with none or few parametrization—the individual detection of the trees/grapevines and their multi-temporal analysis. The approach for tree detection was applied to several chestnut stands, allowing the automatic estimation of several parameters, such as the number of trees, the canopy coverage, tree height, and crown diameter. A novel methodology that enables the identification of phytosanitary issues from multitemporal analysis of chestnut stands, using UAV-based multispectral imagery, was also developed and it is presented in this thesis. This approach not only allows the absence or presence of phytosanitary issues but also the identification and the classification of biotic or abiotic factors affecting the trees. The developed methodology proved to be effective in automatically detecting and classifying phytosanitary issues in chestnut trees throughout the growing season. Likewise, methods to automatically estimate and extract grapevine vegetation parameters are also proposed. A full pipeline for vineyards management was developed. First, a methodology able to differentiate grapevine canopy between inter-row vegetation cover and soil, and to identify independent vine row was built. Then, the outputs were provided but the former methods were used to create a multi-temporal data analysis of vineyards, enabling the monitoring of vegetation dynamics of a given vineyard plot along the growing season. This way, areas with canopy management operation needs, and with different vigour levels, are identified. The approaches proposed enable to fully exploit the advantages offered from the UAV-based multi-sensor data (RGB, multispectral and thermal infrared), by performing multitemporal analysis of vineyards both at the plot and at the plant scales. Individual grapevine detection permits the estimation of geometrical and biophysical parameters, as well as missing grapevine plants. Thus, the developed methodologies proved to be very effective and can be used in a single epoch, analyzing the data from one individual flight campaign to estimate different parameters (depending on the used sensors), both at parcel-level and at the plant-level. In terms of agricultural plot, the canopy coverage, the estimation of the number of trees/grapevines, and the estimation of other vegetation and bare soil can be reached, as well as mean values of the species under analysis. Regarding the plant-level monitoring, geometrical and biophysical parameters as height, canopy volume, crown diameter, temperature and vegetation indices that correlate with yield, biomass, leaf density and phytosanitary issues are also possible to estimate. Combining data from different flight campaigns, allows a multi-temporal analysis to be performed. Moreover, this multi-temporal analysis can be carried out over a single vegetative cycle and/or over different agricultural years, allowing, in any case, to obtain important management information. Hence, the original methods presented in this work have shown to be effective and have proved that their potential goes beyond vegetation detection, since they can be employed in an operational routine for the automatic monitoring of vineyard plots and chestnut stands. Thus, this work can be seen as an important contribution towards the substitution of time-consuming and costly field campaigns for managing plantations in a quicker and more sustainable way.
Li, Chien-Hsien, and 黎建賢. "The Beach Topographic Change Analysis Using Multi-temporal UAV-based Terrain Data." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/uby927.
Повний текст джерела國立臺灣海洋大學
河海工程學系
107
Coastal areas are highly variable and fragile, and are susceptible to natural or human factors, resulting in changes in topography and geomorphology. Therefore, rapid mastery and long-term accumulation of topographic information are important for exploring terrain change mechanisms. In recent years, with the advancement of the UAV photogrammetry algorithm, it is possible to rapidly produce a high-precision, high-resolution numerical surface model, which can compensate for the mobility of the general-station theodolite on the coast monitoring and consumes a large labor cost. In this study, by applying the monitoring data of the UAV for many periods, the image feature points are matched by the aerial photogrammetry image technology and the aerial triangulation method to obtain the relative soil sandographic point, and the virtualized base station is used for the networked real-time dynamic positioning. The ground control point measurement coordinates are used to obtain the actual coordinates of the earth and sand to obtain the actual earth sand topographic points, and then compare the image matching point cloud with the direct measurement results. It is known that the volume change of the intrusion and the relationship between the coastal power and the spatial distribution of the intrusion are integrated through the geographic information system. The results of the topographic changes in Yancheng Beach for many periods show that the variation of the 0m line from May 20th to May 2019 in Yancheng Beach is between -24.82 and 24.49 meters, and the weekly change rate is between -3.05 and 1.29. Between m/week. The results of this study show that the application of UAV imaging technology can improve the efficiency of traditional manual sampling and reduce the cost of using indirect measurement observations. It can reduce the error in measurement and save the cost of field measurement. It can help to understand the changes of coastal terrain through multi-period topographic data. Characteristics, in a short period of time to understand the changes in terrain caused by waves, currents, tides and other seas, the spatial differences in the spatial changes.
"Spatial and Multi-Temporal Visual Change Detection with Application to SAR Image Analysis." Doctoral diss., 2014. http://hdl.handle.net/2286/R.I.27482.
Повний текст джерелаDissertation/Thesis
Doctoral Dissertation Electrical Engineering 2014
Dorjsuren, Munkhzul, and 孟可竹. "Multi-Temporal MODIS Data Analysis for Integrated Drought Severity Index (IDSI) over Mongolia." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/tvh336.
Повний текст джерела國立中央大學
太空科學研究所
105
Drought indices can be used to evaluate drought detection using meteorological measurements data of the temperature and precipitation. Moreover, the satellite-based data provides spatial and temporal patterns for the regional-scale drought occurrences. This dissertation is to investigate the drought detection in relation to climatic condition over Mongolia by using satellite remote sensing imagery, which was acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS). The drought index was evaluated from the MODIS data acquired during May to August from 2000 to 2013 using the Drought Severity Index-2 (DSI2) and Integrated Drought Severity Index (IDSI) methods. These indices were empirically calculated by standardized characteristics of the MODIS two-band Enhanced Vegetation Index (EVI2), Land Surface Temperature (LST), Evapotranspiration (ET), and Potential Evapotranspiration (PET) data. DSI is based on the monthly standardized ET/PET ratio and EVI2 index. The modification of DSI2, IDSI was calculated by standardization of the sum of separately monthly standardized ET/PET ratio and EVI2/LST ratio. Consequently, the ratio between EVI2 and LST was calculated by parameter features and integrated into the DSI2. In addition, fourteen-year summer monthly data for air temperature, precipitation, and soil moisture content of in-situ measurements data from the meteorological and agricultural stations were analyzed. The climatological variables anomaly of in situ measurements was also calculated by standardized anomaly to compare to the DSI2 and IDSI at the eighteen stations. The multi-temporal of all MODIS data were processed using supervised classification. A standardized anomaly method was also calculated by both MODIS and in situ measurement data. Therefore, the linear spectral mixture analysis (LSMA) and the threshold value of change vector analysis (CVA) were used for drought-indices classes. A statistical analysis and Pearson correlation coefficients (r) for the DSI2 versus the climatological anomaly and the IDSI versus the climatological anomaly were computed for the study period. From the standardized anomaly analysis of in situ measurements, it was shown that the wettest years were 2003 and 2011–2013, while the driest years were 2001, 2002, 2007, and 2009; the rest of the years were normal years. Generally speaking, dry weather implies lower rainfall and higher temperature, so that drought occurred in the years 2002 and 2007. By contrast, wet weather accompanies higher precipitation and lower temperature, such as the years 2003, 2012, and 2013. For the improvement of the parameters of DSI that is the ratio between MODIS EVI2 and LST, the results showed that the vegetation-temperature feature space was well-defined. This indicated a wide range of surface wetness and drought in the study area. The validation results of EVI2/LST ratio were carried out by comparing EVI2/LST values with monthly rainfall throughout the study area. The comparison results were revealed with good agreement and sensitivity between EVI2/LST ratio and rainfall data. Moreover, ET/PET ratio results found that the relationship between the ET/PET ratio and precipitation has a similar variation in different conditions. It is indicating that the ET/PET ratio reveals a good parameter for detecting wet and drought conditions. The comparison results between DSI2 and IDSI demonstrated that the IDSI gave slightly better classification results than the DSI2. The modification of DSI2 results was found that IDSI dynamics revealed the spatiotemporal occurrence of dry (2001, 2002, 2007 and 2009) and wet (2003 and 2011–2013) periods as shown in time series analysis of in situ measurements. From a detailed spatial analysis of IDSI dynamics, it was found that the wettest and drought occurred in 2003 and 2007 and occupied the largest region of the study area by about 60% and 67% as compared to other years. The relationships between remotely sensed and in situ based data indicated that the correlation for IDSI versus climatological anomaly is higher than DSI2 versus climatological anomaly. Correlation coefficients obtained over the eighteen measurement stations between the IDSI and climatological anomaly (r = 0.84) show a good agreement between the satellite-derived and measured anomalies. This dissertation has demonstrated merits of using MODIS data for studying drought variability in relation to climatic characteristics, and is important for drought monitoring in agricultural management and development, and one of an input parameter for drought.
Wang, Fuh-Yuh, and 王富鈺. "Spatial and Temporal Dynamic Analysis of Multi-fisheries in Northern Coastal Waters of Taiwan." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/u6928r.
Повний текст джерела國立臺灣海洋大學
海洋事務與資源管理研究所
102
Fisheries resources are important food sources for humans. Due to global change and overfishing caused the decreasing of fisheries resource. Marine Protection Areas (MPA) and other conservation measures are considered as important tools for marine resource conversation by the IUCN (International Union for Conservation of Nature and Natural Resources) and UNEP (United Nations Environment Programme). Northern coastal waters of Taiwan have abundant marine resource and considered as important fishing grounds. However, there are limited conservation measures in this area. Therefore, this study will be focus on the biodiversity of Taiwan's northern waters fishery species, and propose conservation management recommendations.This study area is between 120。E~127。E;24。N~31。N. Logbooks of 754 vessels from January to December 2010 were collected for analysis. The fishing effort data and CPUE (CPUE,kg/voyage) catch data were estimated by 0.25*0.25 degree. The Shannon’s index was calculated by the catch amount by species. Seasonal catch/effort and biodiversity index value were drawn by Mapinfo. Preliminary results showed scombridae, other scads, other skipjacks, oceanic, neritic squids bonito, skipjack tuna are the major fisheries in northern Taiwan. Catch in furst quarter was the highest, followed by fourth quarter , second quarter, and first quarter. Major target species includes mackerels, oceanic bonito, neritic, squids, dorado, hairtail, skipjack tuna etc. Nevertheless, species diversity were higher in the summer within 122。E~124。E;24。N~26。N and the autumn within 122。E~123。E; 26。N~27。N. This study indicated that the amount of catch and species diversity varied by season. In conclusion, it is recommended fishery knowledge of conservation measures such as ecosystem-based management approach should be considered in the summer and autumn. Thus, there are four mainly complements blew context (1) gilled network fisheries activities should be monitored and limited fishing days if necessary. (2) High fishing effort, catch, species, CPUE, and species diversity should be deemed to be fishing hotspots and take more conservation measures. (3) The government and fishermen should work together to achieve consensus on the conservation of fisheries resources and to strengthen cooperation with fishermen fishery resources, thereby effectively control the temporal characteristics of various types of coastal waters along the northern Taiwan.
Chen, Hui-Peng, and 陳慧鵬. "The Topographic Change Analysis Using Multi-Temporal Airborne LiDAR Data : A Turtle Island Case." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/65872956289936798895.
Повний текст джерела明新科技大學
土木工程與環境資源管理系碩士班
102
To obtain a large area of high resolution digital elevation model (DEM) in a short period of time by using LiDAR systems are nowadays largely used for quantitative analyses and modeling in geology, coastal erosion, and geomorphology. High-quality DEMs are required for the accurate morphometric and volumetric measurement of land features. Terrain changes due to changes in surface topography has been an important issue in many research areas, including land reclamation, orogeny, shoreline change, river bed change, land subsidence, landslides and erosion. In this study, two DEM datasets taken on 2005 and 2011 in Turtle island, an active volcano island in Taiwan, are used to derive shadow relief maps, differential DEM map, slope map, aspect map and for PIV analysis. Subsequently the change analysis is performed. Results of change analysis show that a fault feature occurred in the northern slope surface of Turtle island, and the rock falls at coastal cliff tends to be spreading out at the turtle head. Moreover, the deep-cut geomorphometric feature can also be found after coastal erosion. The observations of these results can be inferred that the morphometric features can be clearly recognized using the terrain data produced form the LiDAR systems. Therefore, good results of coastal change erosion can be achieved using multi-temporal LiDAR data. Further studies can be conducted to improve a quantitive estimation of the change volumes through thorough understanding of problem of sensor characteristics, parameters of data acquisition, survey datum, and others.
Hsieh, Fu-Lay, and 謝富來. "The Analysis of Different Adjustment Models Applied in Multi-Temporal Vertical Monitoring Control Networks." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/65132416285930375453.
Повний текст джерела國立中興大學
土木工程學系所
100
It is to state the Different Period of Construction Zone Monitoring Network with Different Adjustment Mode Result Analysis. We will propose the better method while proceeding the studying in details onto this analysis. Finally we will choose the best solution as our conclusion. The study found that the first reference to the classic fixed adjustment,T-test after test to find the displacement point I point a settlement 14.4mm,Not yet reached the value of building subsidence security management point of warning value,But its obvious deformation better reflects the purpose of construction safety management。
Lüdtke, Daria. "Land cover mapping with random forest using intra-annual sentinel 2 data in central Portugal : a comparative analysis." Master's thesis, 2018. http://hdl.handle.net/10362/33648.
Повний текст джерелаIn recent years, data mining algorithms are increasingly applied to optimise the classification process of remotely sensed imagery. Random Forest algorithms have shown high potential for land cover mapping problems yet have not been sufficiently tested on their ability to process and classify multi-temporal data within one classification process. Additionally, a growing amount of geospatial data is freely available online without having their usability assessed, such as EUROSTAT´s LUCAS land use land cover dataset. This study provides a comparative analysis of two land cover classification approaches using Random Forest on open-access multi-spectral, multi-temporal Sentinel-2A/B data. A classification system composed of six classes (sealed surfaces, non-vegetated unsealed surfaces, water, woody, herbaceous permanent, herbaceous periodic) was designed for this study. Ten images of ten bands plus NDVI each, taken between November 2016 and October 2017 in Central Portugal, were processed in R using a pixel-based approach. Ten maps based on single month data were produced. These were then used as input data for the classifier to create a final map. This map was compared with a map using all 100 bands at once as training for the classifier. This study concluded that the approach using all bands produced maps with 11% higher, yet overall low accuracy of 58%. It was also less time-consuming with about 5 hours to over 15 hours of work for the multi-temporal predictions. The main causes for the low accuracy identified by this thesis are uncertainties with EUROSTAT´s Land Use/Cover Area Statistical Survey (LUCAS) training data and issues with the accompanying nomenclature definition. Additional to the comparison of the classification approaches, the usability of LUCAS (2015) is tested by comparing four different variations of it as training data for the classification based on 100 bands. This research indicates high potential of using Sentinel-2 imagery and multi-temporal stacks of bands to achieve an averaged land cover classification of the investigated time span. Moreover, the research points out lower potential of the multi-map approach and issues regarding the suitability of using LUCAS open-access data as sole input for training a classifier for this study. Issues include inaccurate surveying and a partially long distance between the marked point and the actual observation point reached by the surveyors of up to 1.5 km. Review of the database, additional sampling and ancillary data appears to be necessary for achieving accurate results.
Ulloa, Noel Ivan, and 武樂. "Multi-Temporal Analysis of Landsat Images for Deforestation Assessment In The Bosawas Biosphere Reserve, Nicaragua." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/2my9rg.
Повний текст джерела國立中央大學
遙測科技碩士學位學程
105
Tropical forests represent the terrestrial ecosystem with the highest biodiversity. Despite the importance of tropical forest to human species survival, these are frequently at risk, mainly because of the dynamic use of the land. The objective of this study is to assess and analyze the deforestation process in the nucleus zone of the Bosawas Biosphere Reserve, in Nicaragua, Central America, by means of remote sensing image classification and interpretation. Landsat images from 2011, 2015 and 2016 were classified using an object-based approach. The resulting land-cover classification maps were then utilized to conduct a deforestation assessment, which revealed a loss in forest cover, going from 6206.77 km2 in 2011, to 5825.14 km2 in 2015. Moreover, with applying GIS (Geographic Information System), this study incorporated environmental factors into the Maximum Entropy model (MaxEnt) to assess areas most susceptible to deforestation, including clear-cut and vegetated areas. Deforestation patches from 2015-2016 were used to validate the models. The Area Under the Curve of Receiver Operating Curve (AUC) for the clear-cut patch model was 0.71, and 0.88 for the vegetated patch model. The results indicate that MaxEnt is a reliable method to identify the areas more likely to be affected by deforestation within the Bosawas nucleus zone. Results show that distance to soil and distance to other types of vegetation are the most important variables for the clear-cut and vegetated patch models, respectively. This indicates that the two types of patches have different deforestation dynamics because they represent different stages of the deforestation process. Clear-cut patches belong to the early stages of deforestation, they are clustered and diffuse, and their appearance can be related to the availability of purchasable lands in the area. On the other side, vegetated patches represent more advanced phases of the deforestation process, and they tend to expand through the years. In both models, however, variables including distance to communities, roads and rivers do not show significant contribution to deforestation, meaning that accessibility is not a vital factor in the deforestation process of Bosawas. In addition to analyze the relationship between deforestation and environmental factors, to study the characteristics of the patches (e.g. morphology, type, evolution) is also suggested an important approach to broaden the understanding of the complex issue of deforestation in tropical rainforest.
SONNESSA, ALBERICO. "Slope stability analysis by multi-temporal DEMs and 3D modelling:The 2002 and 2007 Stromboli landslide events." Doctoral thesis, 2010. http://hdl.handle.net/11573/413260.
Повний текст джерелаHossain, Mohammad Zahid. "FlockViz: A Visualization Technique to Facilitate Multi-dimensional Analytics of Spatio-temporal Cluster Data." 2014. http://hdl.handle.net/1993/23591.
Повний текст джерелаChang, Kai-Chieh, and 張凱傑. "Investigation of The Difference Between The Spatial and Temporal Signals in Flow Injection Analysis Using A Multi-Channel Detector." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/82677057223448887673.
Повний текст джерела國立交通大學
應用化學系所
95
Flow injection analysis (FIA) is widely used as an automatic analysis technology. The FIA signals often appear in asymmetric tailing peaks. According to the traditional theory, the tailing phenomenon occurs because the fluid moves in the form of laminar flow that results in dispersion in the FIA manifolds. Furthermore, the defects of the hardware itself also contributes to the fluid change, thus to the skewness of the peak shape. Recently a hypothesis of temporal effect is proposed to explain the tailing phenomenon. Because the spatial distribution of the sample in the FIA manifolds changes with time, the recorded signal from a traditional single-channel detector is actually the accumulation result of the constant signal variation of the sample in the manifold. Accordingly, the recorded signal as a function of time is different from the true spatial distribution of the sample in the manifold. This phenomenon results in tailing peak, even though the spatial distribution of the sample appears considerably symmetric. This research scrutinizes the spatial distribution of the sample in the FIA manifolds and the peak shape recorded as a function of time simultaneously using a multi-channel detector. Obvious difference is observed by comparing peak shapes between spatial and temporal profiles. This study confirms that the temporal effect is the major factor for the skewed FIA peaks. In addition, the theoretical foundation of the temporally convoluted Gaussian equation proposed in the literature is verified. Furthermore, the method for calculating the dispersion coefficient using the temporal signal is validated by the experimental spatial signal.
Oliveira, Pedro André de. "Caracterização da ocupação do solo com recurso à aplicação de modelos de misturas espectrais em séries multi-temporais de imagens MODIS." Master's thesis, 2005. http://hdl.handle.net/10362/3643.
Повний текст джерелаRealizou-se uma investigação sobre a aplicação do Modelo de Mistura Linear (MML) numa série multi-temporal. Depois de aplicado a uma sequência anual completa de imagens MODIS com 500 metros de resolução especial, o MML gerou um conjunto de imagens fracção com uma variação intra-anual da abundância de componentes puros vegetação, solo e sombra na mistura do pixel. No pré-processamento das imagens de MOD09A1 utilizou-se uma abordagem do Compósito do Valor Máximo, para obter os dados de base para input do modelo de MML. Baseado em 36 imagens fracção, caracterizaram-se 304 amostras, correspondendo cada amostra a uma de onze classes de ocupação do solo definidas neste estudo. Estabeleceu-se uma relação entre estas classes e o CLC2000. Para a classificação das unidades de ocupação do solo, baseadas na variação do perfil temporal dos componentes puros no pixel das amostras, recorreu-se à utilização de uma rede neuronal de mapas autoorganizados (SOM). A análise da qualidade dos resultados resultou da construção da matriz de convergência, sendo calculados os índices de exatidão global, do produtor e do utilizador para avaliação de resultados. O trabalho reporta uma análise descritiva dos resultados obtidos segundo a metodologia proposta e apresenta-se como um estudo preliminar para análise de mistura espectrais, numa vertente multi-temporal, para caracterização da ocupação do solo.