Tesis sobre el tema "Vegetation series"
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Wahrman, Spencer A. "Time Series Analysis of Vegetation Change using Hyperspectral and Multispectral Data". Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17473.
Grand Lake, Colorado has experienced a severe mountain pine beetle outbreak over the past twenty years. The aim of this study was to map lodgepole pine mortality and health decline due to mountain pine beetle. Multispectral data spanning a five-year period from 2006 to 2011 were used to assess the progression from live, green trees to dead, gray-brown trees. IKONOS data from 2011 were corrected to reflectance and validated against an Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) hyperspectral dataset, also collected during 2011. These data were used along with additional reflectance-corrected multispectral datasets (IKONOS from 2007 and QuickBird from 2006 and 2009) to create vegetation classification maps using both library spectra and regions of interest. Two sets of classification maps were produced using Mixture-Tuned Matched Filtering. The results were assessed visually and mathematically. Through visual inspection of the classification maps, increasing lodgepole pine mortality over time was observed. The results were quantified using confusion matrices comparing the classification results of the AVIRIS classified data and the IKONOS and QuickBird classified data. The comparison showed that change could be seen over time, but due to the short time period of the data the change was not as significant as expected.
Julien, Yves. "Vegetation monitoring through retrieval of NDVI and LST time series from historical databases". Doctoral thesis, Universitat de València, 2008. http://hdl.handle.net/10803/10343.
El trabajo de tesis doctoral aquí presentado consiste en el uso extensivo de bases de datos históricas de imágenes de satélite para el seguimiento de la vegetación terrestre, a través de dos parámetros; la temperatura de la superficie terrestre (LST por sus siglas en inglés) y el índice de vegetación NDVI.El primer capítulo de la memoria introduce las nociones de NDVI y LST desde una perspectiva teórica, así como sus principales limitaciones y sus vínculos con la fisiología vegetal. Un estudio bibliográfico permite poner el acento sobre las lagunas en el uso de las bases de datos históricas.El segundo capítulo describe los datos utilizados en este trabajo, proporcionados en su mayoría por el instrumento AVHRR (Advanced Very High Resolution Radiometer) a bordo de la serie de satélites de la NOAA (National Oceanic and Atmospheric Administration) a través de las bases de datos PAL (Pathfinder AVHRR Land) y GIMMS (Global Inventory Modeling and Mapping Studies). También se presentan datos adicionales que se usaron puntualmente. El tercer capítulo describe el proceso para obtener las series temporales de NDVI y LST, las cuales están contaminadas por la deriva orbital de los satélites NOAA. Hemos propuesto una técnica propia para su corrección, validada por comparación directa con datos obtenidos por satélites geoestacionarios.En el cuarto capítulo se introducen diferentes métodos utilizados para el análisis temporal de los datos. Se obtuvieron tendencias acerca de parámetros vinculados a la evolución anual de NDVI para la mayor parte del globo, validadas por comparación con estudios previos.En el quinto capítulo se presenta un análisis conjunto del NDVI y de la LST, seguido por la elaboración de indicadores de la evolución anual de estos dos parámetros. A continuación se presenta un análisis armónico del NDVI y de la LST para Europa. El uso de los indicadores desarrollados para el seguimiento simultáneo del NDVI y de la LST revela resultados prometedores.Por último se presentan las conclusiones más relevantes del trabajo realizado, así como planes de trabajo para un futuro próximo.
Julien, Yves Rodriguez Sobrino José Antonio Nerry Françoise. "Vegetation monitoring through retrieval of NDVI and LST time series from historical databases". Strasbourg : Université Louis Pasteur, 2008. http://eprints-scd-ulp.u-strasbg.fr:8080/1021/01/JULIEN_Yves_2008.pdf.
Thèse soutenue sur un ensemble de travaux. Thèse soutenue en co-tutelle. Titre provenant de l'écran-titre. Bibliogr. 34 p.
Ratana, Piyachat. "Spatial and Temporal Amazon Vegetation Dynamics and Phenology Using Time Series Satellite Data". Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/194427.
Gebrehiwot, Worku Zewdie. "Climate, land use and vegetation trends". Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-209668.
Tomás, Ana Raquel Dias. "Application of empirical mode decomposition (EMD) to chronological series of active fires from MODIS satellite". Master's thesis, ISA/UTL, 2011. http://hdl.handle.net/10400.5/4481.
Fire is a global phenomenon, acting as an important disturbance process. Africa is one of the continents that has higher fire density, particularly in savanna regions, making it the subject of innumerous studies about fire regime and behavior. Here, a new method of time series analysis called Empirical Mode Decomposition (EMD) was applied to monthly fire counts time series from MODIS Terra/Aqua sensors. The goals were to analyze the differences between the time series from the two instruments (MODIS Terra and Aqua), the differences in the behavior of the active fire time series from the north and south parts of Africa and they‟re relationships with climatic modes (ENSO and IOD). For most of the time series, the application of the EMD resulted in four IMF‟s and a residue. Although there is always an IMF related with seasonality, the physical meaning of the other isn‟t clear. This may be due to various reasons, some related with intrinsic problems of the method, other with the applicability of the method to this type of series.
Casady, Grant M. "Examining Drivers of Post-Wildfire Vegetation Dynamics Across Multiple Scales Using Time-Series Remote Sensing". Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195408.
González, Garcia Isabel. "Influência do clima nas variações estacionais e interanuais do indice de vegetação de diferença normalizada (NDVI) no montado português". Master's thesis, ISA/UTL, 2012. http://hdl.handle.net/10400.5/5467.
Nowadays the climate change makes more necessary the study of ecosystem dynamics. The Portuguese montado is an ecosystem with very particular characteristics, because is a combined system with pastures and forest, managed by men, and depends on this manage to continue. More than economic value, montado is very important system with a big biodiversity and landscape quality. For this study was propose to study about the seasonal variation of montado, since 2000 to 2012, using remote sensing and vegetation index as tools to analyze the response of montado to different environmental factors, as the precipitation, temperature and relative humidity. The chosen vegetation index was the NDVI (Normalized Difference Vegetation Index), because of all the advantages, and was calculated using MODIS sensor data. To find the relation between our vegetation index vegetation data, and the meteorological variables, was make a time series analysis, and a correlation study of each variable with the vegetation index. The results was satisfactory and was agree with the initial hypotheses. We find that the precipitation is the variable that influences NDVI the most, and this correlation is bigger when we use the accumulative inter-annual and seasonal data instead the original data. The results show the effects of the big drought of 2004 and 2005 too. The remote sensing appears as a very important and critical tool for this study area future and show that this study could be extend with new directions and new research hypotheses
Wessollek, Christine, Babatunde Osunmadewa y Pierre Karrasch. "Introducing a rain-adjusted vegetation index (RAVI) for improvement of long-term trend analyses in vegetation dynamics". SPIE, 2015. https://tud.qucosa.de/id/qucosa%3A35057.
Fernandes, Jeferson Lobato. "Monitoramento da cultura de cana-de-açucar no Estado de São Paulo por meio de imagens spot vegetation e dados meteorologicos". [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/256961.
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agricola
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Resumo: O atual sistema de previsão de safras para a cultura da cana-de-açúcar utilizado no Brasil depende, em boa parte, de informações subjetivas, baseadas no conhecimento de técnicos do setor e informações da cadeia produtiva. Apesar da experiência dos técnicos envolvidos, este sistema está sujeito a questionamentos sobre a qualidade dos números apresentados e abre margem a ações especulativas por parte de agentes externos. O monitoramento da cultura de cana-de-açúcar por meio de séries multitemporais de índices NDVI do sensor SPOT Vegetation, associado a dados meteorológicos provenientes do modelo do ECMWF, viabiliza o acompanhamento do desenvolvimento da cultura e sua correlação com a produtividade, diminuindo assim a subjetividade das estimativas. Este trabalho avaliou o potencial de uso de imagens decendiais do sensor SPOT Vegetation para a identificação de áreas canavieiras do estado de São Paulo e a capacidade de inferir sobre os dados de produtividade oficiais registrados em municípios e safras previamente selecionados, baseando-se em dados provenientes dos perfis temporais do NDVI - SPOT Vegetation e de variáveis meteorológicas do modelo do ECMWF. Foram selecionados 20 municípios do estado de São Paulo e sete safras compreendidas entre o período de 1999 e 2006. A identificação das áreas canavieiras foi realizada por meio do perfil temporal do NDVI de cada pixel, onde foram selecionados os pixels que ao longo da safra apresentaram comportamento característico da cultura. Para a determinação da produtividade média da safra por meio de dados espectrais e meteorológicos, foram extraídos valores dos perfis temporais do NDVI e das variáveis meteorológicas temperatura mínima, temperatura média, temperatura máxima, precipitação e radiação global, onde, utilizando-se técnicas de mineração de dados, separou-se a produtividade média da safra em 3 classes, baixo-média, média e média-alta. Os resultados de identificação de áreas canavieiras no estado de São Paulo foram avaliados em escala estadual e municipal. Para a escala estadual, o método proposto apresentou resultados satisfatórios. Os índices de determinação (R²), obtidos através da correlação entre a área colhida de cana-de-açúcar oficial e a estimada, por município e safra, considerando os 637 municípios do Estado, variaram entre 0,771 e 0,829. Para a escala municipal não foi possível determinar com exatidão a área de cana-de-açúcar colhida de cada município devido à baixa resolução espacial das imagens. Para o método de classificação da produtividade média municipal proposto, houve maior correlação com os dados os dados espectrais que com os dados meteorológicos. Valores extraídos do perfil temporal do NDVI entre os meses de dezembro e janeiro permitiram classificar a tendência do resultado de produtividade alcançado no final da safra. Os resultados foram mais efetivos para os casos onde a produtividade foi classificada como sendo média ou acima da média, com acertos de 86,5 e 66,7% respectivamente. Existe potencial no uso de imagens de NDVI do SPOT Vegetation para a identificação de áreas canavieiras em escala estadual e para a classificação da produtividade média municipal da safra.
Abstract: The current crop yield forecasting system for sugar cane used in Brazil is dependent on subjective information which are based on personal knowledge of technicians and information from the industry. Despite the experience of technicians, this system is vulnerable once it allows questioning about the quality of the figures presented, what could lead to speculation by market agents. Sugar cane monitoring through multitemporal series of the NDVI data from SPOT Vegetation, associated with meteorological data from the ECMWF model, provides information about the plant development and its correlation with yield, contributing to the decrease in the subjectivity of the forecasts. This study evaluated the potential use of decadal images of the SPOT Vegetation sensor to identify sugar cane areas in São Paulo state and the feasibility to estimate the official productivity registered in municipalities and crops previously selected by the use of NDVI - SPOT Vegetation and ECMWF meteorological data. For this study 20 municipalities of São Paulo state and seven cropping seasons were selected between 1999 and 2006. To identify sugar cane areas the temporal profile of each pixel was analysed during the cropping season, selecting pixels that presented a characteristic temporal NDVI profile of sugar cane. To determine the average yield using spectral and meteorological data, values of the temporal profiles of NDVI and minimum, mean and maximum temperature, precipitation and global radiation were extracted. Through data mining techniques, the average yield was classified in three classes: low-mean, mean and mean-high. Results for the identification of sugar cane areas in São Paulo state were evaluated at regional and local scale. For the regional scale the proposed method showed good results. The R² for the correlation between official and estimated sugar cane planted area, considering the 637 municipalities of the state, varied between 0,771 and 0,829. For the local scale, it was not possible to determine the sugar cane area due to the low spatial resolution of the images. For the classification of the average crop yield, by proposed method, spectral data was more relevant than meteorological data. Some values extracted from the temporal profile of NDVI between December and January permitted to classify the yield tendency. Best results were found when the yield was classified as mean or mean-high, with 86,5 and 66,7 percent correctively classified, respectively. The results showed that there is potential for the use of NDVI - SPOT Vegetation images to identify sugar cane areas at regional scale and to classify the average crop yield.
Mestrado
Planejamento e Desenvolvimento Rural Sustentável
Mestre em Engenharia Agrícola
Wessollek, Christine y Pierre Karrasch. "Monitoring of vegetation dynamics on the former military training area Königsbrücker Heide using remote sensing time series". SPIE, 2016. https://tud.qucosa.de/id/qucosa%3A35117.
Shen, Meicheng. "Statistical Estimation of Vegetation Production in the Northern High Latitude Region based on Satellite Image Time Series". The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563552594966495.
Adjei, Zola Yaa. "Using Remote Sensing to Explore the Time History of Emergent Vegetation at Malheur Lake, Oregon". BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5647.
McMahon, William. "Pre-vegetation alluvium : geological evidence for river behaviour in the absence of land plants". Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/276277.
Braget, Austin Ray. "Time series analysis of phenometrics and long-term vegetation trends for the Flint Hills ecoregion using moderate resolution satellite imagery". Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/35553.
Department of Geography
J. M. Shawn Hutchinson
Grasslands of the Flint Hills are often burned as a land management practice. Remote sensing can be used to help better manage prairie landscapes by providing useful information about the long-term trends in grassland vegetation greenness and helping to quantify regional differences in vegetation development. Using MODIS 16-day NDVI composite imagery between the years 2001-10 for the entire Flint Hills ecoregion, BFAST was used to determine trend, seasonal, and noise components of the image time series. To explain the trend, 4 factors were considered including hydrologic soil group, burn frequency, and precipitation deviation from the 30 year normal. In addition, the time series data was processed using TIMESAT to extract eight different phenometrics: Growing season length, start of season, end of season, middle of season, maximum value, small integral, left derivative, and right derivative. Phenometrics were produced for each year of the study and an ANOVA was performed on the means of all eight phenometrics to assess if significant differences existed across the study area. A K-means cluster analysis was also performed by aggregating pixel-level phenometrics at the county level to identify administrative divisions exhibiting similar vegetation development. For the study period, the area of negatively and positively trending grassland were similar (41-43%). Logistic regression showed that the log odds of a pixel experiencing a negative trend were higher in sites with clay soils and higher burning frequencies and lower for pixels having higher than normal precipitation and loam soils. Significant differences existed for all phenometrics when considering the ecoregion as a whole. On a phenometric-by-phenometric basis, unexpected groupings of counties often showed statistically similar values. Similarly, when considering all phenometrics at the same time, counties clustered in surprising patterns. Results suggest that long-term trends in grassland conditions warrant further attention and may rival other sources of grassland change (e.g., conversion, transition to savannah) in importance. Analyses of phenometrics indicates that factors other than natural gradients in temperature and precipitation play a significant role in the annual cycle of grassland vegetation development. Unanticipated, and sometimes geographically disparate, groups of counties were shown to be similar in the context of specific phenology metrics and this may prove useful in future implementations of smoke management plans within the Flint Hills.
Wessollek, Christine y Pierre Karrasch. "Monitoring structural breaks in vegetation dynamics of the nature reserve Königsbrücker Heide". SPIE, 2017. https://tud.qucosa.de/id/qucosa%3A34984.
Osunmadewa, Babatunde Adeniyi, Worku Zewdie Gebrehiwot, Elmar Csaplovics y Olabinjo Clement Adeofun. "Spatio-temporal monitoring of vegetation phenology in the dry sub-humid region of Nigeria using time series of AVHRR NDVI and TAMSAT datasets". Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-235570.
Osunmadewa, Babatunde A., Christine Wessollek y Pierre Karrasch. "Linear and segmented linear trend detection for vegetation cover using GIMMS normalized difference vegetation index data in semiarid regions of Nigeria". SPIE, 2015. https://tud.qucosa.de/id/qucosa%3A35266.
Tsyganskaya, Viktoriya [Verfasser] y Ralf [Akademischer Betreuer] Ludwig. "Detection of temporarily flooded vegetation using time series of dual polarised C-band synthetic aperture radar data / Viktoriya Tsyganskaya ; Betreuer: Ralf Ludwig". München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1212362969/34.
Osunmadewa, Babatunde Adeniyi. "Spatio-Temporal Modeling of Vegetation Change Dynamics in the Guinea Savannah Region of Nigeria using Remote Sensing and GIS Techniques". Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-229288.
Propastin, Pavel. "Remote sensing based study on vegetation dynamics in drylands of Kazakhstan". Doctoral thesis, Stuttgart Ibidem-Verl, 2007. http://hdl.handle.net/11858/00-1735-0000-0006-B26A-A.
Williams, Danielle M. "Time series analysis of vegetation dynamics and burn scar mapping at Smoky Hill Air National Guard Range, Kansas using moderate resolution satellite imagery". Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/34462.
Department of Geography
J. M. Shawn Hutchinson
Military installations are important assets for the proper training of armed forces. To ensure the continued viability of training lands, management practices need to be implemented to sustain the necessary environmental conditions for safe and effective training. For this study two analyses were done, a contemporary burn history and a time series analysis. The study area is Smoky Hill Air National Guard Range (ANGR), an Impact Area (within the range) and a non-military Comparison Site. Landsat 5 TM / 7 ETM+ imagery was used to create an 11 year composite burn history image. NDVI values were derived from MODIS imagery for the time series analysis using the statistical package BFAST. Results from both studies were combined to make conclusions about training impacts at Smoky Hill ANGR and determine if BFAST is a viable environmental management tool. Based on this study the training within Smoky Hill ANGR does not seem to be having a negative effect on the overall vegetation condition. It was also discovered that BFAST was able to accurately detect known vegetation disturbances. BFAST is a viable environmental management tool if the limitations are understood.
Romo, Leon Jose Raul. "Examining Trends in Post-Disturbance Ecosystem Dynamics in the Southwestern United States and Northwestern Mexico Using Remote Sensing Time-Series Data and Land Cover Change Detection". Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/205420.
Minas, Michael Getachew. "Characterization of plant-water interaction in Kilombero River Catchment in Tanzania using Normalized Difference Vegetation Index (NDVI)". Thesis, Stockholms universitet, Institutionen för naturgeografi och kvartärgeologi (INK), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-110913.
ANGELUCCI, GIOVANNA. "DINAMICA DI VEGETAZIONE IN AREE DI POST-ABBANDONO DELLA PIANURA PADANA". Doctoral thesis, Università degli Studi di Milano, 2011. http://hdl.handle.net/2434/154021.
Schwieder, Marcel. "Landsat derived land surface phenology metrics for the characterization of natural vegetation in the Brazilian savanna". Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19368.
The Brazilian savanna, known as the Cerrado, covers around 24% of Brazil. It is characterized by a unique biodiversity and a strong gradient in vegetation structure. Land-use changes have led to almost half of the Cerrado being converted into cultivated land. The mapping of ecological processes is, therefore, an important prerequisite for supporting nature conservation policies based on spatially explicit information and for deepening our understanding of ecosystem dynamics. New sensors, freely available data, and advances in data processing allow the analysis of large data sets and thus for the first time to capture seasonal vegetation dynamics over large extents with a high spatial detail. This thesis aimed to analyze the benefits of Landsat based land surface phenological (LSP) metrics, for the characterization of Cerrado vegetation, regarding its structural and phenological diversity, and to assess their relation to above ground carbon. The results revealed that LSP metrics enable to capture the seasonal dynamics of photosynthetically active vegetation and are beneficial for the mapping of vegetation physiognomies. However, the results also revealed limitations of hard classification approaches for mapping vegetation gradients in complex ecosystems. Based on similarities in LSP metrics, which were for the first time derived for the whole extent of the Cerrado, LSP archetypes were proposed, which revealed the spatial patterns of LSP diversity at a 30 m spatial resolution and offer potential to enhance current mapping concepts. Further, LSP metrics facilitated the spatially explicit quantification of AGC in three study areas in the central Cerrado and should thus be considered as a valuable variable for future carbon estimations. Overall, the insights highlight that Landsat based LSP metrics are beneficial for ecosystem monitoring approaches, which are crucial to design sustainable land management strategies that maintain key ecosystem functions and services.
Alhemiary, Abdulmaged [Verfasser], Gottfried [Gutachter] Jetschke, Sören Mathias [Gutachter] Hese y Sebastian [Gutachter] Schmidtlein. "Time series analysis of high resolution remote sensing data to assess degradation of vegetation cover of the island of Socotra (Yemen) / Abdualmaged Alhemiary ; Gutachter: Gottfried Jetschke, Sören Mathias Hese, Sebastian Schmidtlein". Jena : Friedrich-Schiller-Universität Jena, 2017. http://d-nb.info/1205682163/34.
Jacquin, Anne. "Dynamique de la végétation des savanes en lien avec l’usage des feux à Madagascar : analyse par série temporelle d’images de télédétection". Phd thesis, Toulouse, INPT, 2010. http://oatao.univ-toulouse.fr/7223/1/jacquin.pdf.
Bouzahar, Chafika. "Phytosociologie paysagère et gestion conservatoire de la biodiversité dans le Dahra oriental". Electronic Thesis or Diss., Brest, 2022. http://www.theses.fr/2022BRES0049.
The Mediterranean vegetation landscape, whose formation depends mainly on human action, is currently threatened by the increase of anthropic influences that cause a profound modification of the landscape. Forest ecosystems are being replaced by anthropized ecosystems, threatening the biodiversity of this region.This work is conducted within the framework of the management and conservation of biodiversity in the Mediterranean region, in general, and that of Algeria in particular. It consists of the typology and mapping of vegetation and vegetation series of the eastern Dahra, in order to better understand the importance of disturbances of anthropogenic origin and to propose the establishment of an adapted and reasoned management.The study area was chosen as a "pilot" region because of its geomorphological and orographic heterogeneity, the anthropic pressure it is subject to and the particularities of its vegetation characterized by sensitive, unstable and often degraded formations.The landscape phytosociology allows on the one hand the study and the description of the dynamic trajectories of thevegetation series and on the other hand to evaluate the weight of the anthropization in the shaping of the vegetation landscapes.The landscape phytosociological method, used for more than three decades in Europe, remains little developed in North Africa and more specifically in Algeria. This work constitutes a first basis that could be pursued to generalize this approach on the whole North African perimeter.This study allows to identify and map vegetation (actual and potential) and vegetation series and to understand their dynamic trajectory and identifies areas of conservation concern. It provides a tool for biodiversity management and conservation stakeholders, that allows to determine the degree of conservation or degradation of vegetation, to identify areas impacted by human activities by identifying their distance from the natural potential vegetation
Magidi, James Takawira. "Spatio-temporal dynamics in land use and habit fragmentation in Sandveld, South Africa". Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7886_1297841126.
This research assessed landuse changes and trends in vegetation cover in the Sandveld, using remote sensing images. Landsat TM satellite images of 1990, 2004 and 2007 were classified using the maximum likelihood classifier into seven landuse classes, namely water, agriculture, fire patches, natural vegetation, wetlands, disturbed veld, and open sands. Change detection using remote sensing algorithms and landscape metrics was performed on these multi-temporal landuse maps using the Land Change Modeller and Patch Analyst respectively. Markov stochastic modelling techniques were used to predict future scenarios in landuse change based on the classified images and their transitional probabilities. MODIS NDVI multi-temporal datasets with a 16day temporal resolution were used to assess seasonal and annual trends in vegetation cover using time series analysis (PCA and time profiling).Results indicated that natural vegetation decreased from 46% to 31% of the total landscape between 1990 and 2007 and these biodiversity losses were attributed to an increasing agriculture footprint. Predicted future scenario based on transitional probabilities revealed a continual loss in natural habitat and increase in the agricultural footprint. Time series analysis results (principal components and temporal profiles) suggested that the landscape has a high degree of overall dynamic change with pronounced inter and intra-annual changes and there was an overall increase in greenness associated with increase in agricultural activity. The study concluded that without future conservation interventions natural habitats would continue to disappear, a condition that will impact heavily on biodiversity and significant waterdependent ecosystems such as wetlands. This has significant implications for the long-term provision of water from ground water reserves and for the overall sustainability of current agricultural practices.
Jimenez, Alberto Jr. "Restoration criteria on dolomite quarries on "Sierra de Mijas" mountain range". Thesis, Halmstad University, School of Business and Engineering (SET), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-958.
There are many dolomitic outcrops at Rondean sector (into the biogeographical Betic Province). Most of them, involve floral richness and vegetal endemic species due to its calcareous origin. These diverse organisms build peculiar plant communities. They can survive in extreme conditions as drought and high levels of Mg2+ cation. Many studies pronounce that these communities are unique, so they have to be conserved, and some of these plant communities are in the Habitats Directive 92/43 EC.
38% of the dolomitic outcrops can be affected by mining processes. Those particularly affected are dolomitic outcrops located in the mountains range of “Sierra Blanca” and “Sierra de Mijas”. Nowadays, there are 21 quarries in these mountains and they occupy more than 409 Ha. We have studied 11 dolomite quarries and surroundings on “Sierra de Mijas”. There is one vegetation serie on these areas (Rhamno oleoidis-Querco rotundifoliae sigmetum. Dolomitic section), knowing the plant communities we could draw with a Geographical Information System (GIS) the polygons where they are. And using the modified Botanic Value Index equation (Nieto et al., 1999) we could calculate the botanical value of these polygons. After that, we could establish a classification of the study area from the point of view of conservation interest, and we could set up new restoration criteria on these lands.
We have found that approximately the 53 % of the studied area has a high botanic value. There are many endemic taxa in the studied area and 4 species exclusive of the “Sierra de Mijas” mountain range. 90 % of the present communities are included in the Habitats Directive 92/43 CE, and three of the communities are exclusive of the studied area. This is the reason why these quarries have to be restored with a sustainable criteria.
Current restoration plans try to reforest with the climax vegetation (Quercus rotundifolia) or different species of pines (used in several previous reforestations). However, to restore a quarry these plans should include, in addition, other factors such as soil depth, structure of vegetal communities, botanic value, etc. And the Reforest Models of Valle (2004) propose sustainable restoration that could be usefull in the dolomite quarries of “Sierra de Mijas” mountain range.
Cechim, Júnior Clóvis. "Mapeamento e estimativa de área de cana-de-açúcar no estado do Paraná". Universidade Estadual do Oeste do Parana, 2016. http://tede.unioeste.br:8080/tede/handle/tede/263.
Sugarcane has been cropped and produced in Brazil for a long time, so, it deserves mention because it makes the country as the largest producer, with also representativeness in sugar and ethanol production. The knowledge of reliable estimates concerning their cropped areas is essential for Brazilian agribusiness, as they help in determining prices to producers by power plants as well as allow establishing logistics flow of production. The cropped areas estimates are made by official agencies. Therefore, in order to reduce this subjectivity, geotechnology use comes as an alternative since it has been widely used in mappings agricultural crops. Thus, this study aimed at developing a methodology for mapping sugarcane crop in Paraná State with satellite images as LANDSAT, IRS and spectrum-temporal series of vegetation indexes from MODIS sensor, for 2010/2011 to 2014/2015 harvesting season. The carried out mappings indicated a strong positive correlation concerning Canasat and official IBGE. The developed method was based on Fuzzy ARTMAP classification and was efficient to map and estimate the sugarcane cropped area using vegetation index in Paraná State.
A cana-de-açúcar como cultura cultivada e produzida no Brasil merece destaque, pois torna o País o maior produtor mundial, com representatividade também na produção de açúcar e etanol. O conhecimento de estimativas confiáveis de suas áreas cultivadas é imprescindível para o agronegócio brasileiro, por auxiliar na determinação dos preços aos produtores pelas usinas e permitir estabelecer a logística de escoamento da produção. As estimativas de área cultivada são realizadas de forma subjetiva pelos órgãos oficiais. Com a finalidade de diminuir tal subjetividade, surge como alternativa o uso de geotecnologias, as quais têm sido muito utilizadas em mapeamentos de culturas agrícolas. Diante disto, o objetivo deste trabalho foi o desenvolvimento de uma metodologia para o mapeamento da cultura de cana-de-açúcar para o Estado do Paraná usando imagens dos satélites LANDSAT, IRS e de séries espectro-temporais de índices de vegetação, provenientes do sensor MODIS, para as safras de 2010/2011 a 2014/2015. O mapeamento da cultura foi realizado a partir do modelo de classificação supervisionada Fuzzy ARTMAP, tendo como variáveis de entrada, termos harmônicos de amplitude e fase e as métricas fenológicas da cultura. Os mapeamentos realizados indicaram forte correlação positiva com relação aos dados do Canasat e oficiais IBGE. O método desenvolvido com base na classificação Fuzzy ARTMAP demonstrou ser eficiente para mapear e estimar a área cultivada da cultura de cana-de-açúcar utilizando índices de vegetação no Estado do Paraná.
RAMMELOO, BENEDICTE. "Acupuncture et modifications du systeme nerveux autonome au cours d'une serie d'epreuves anxiogenes". Lyon 1, 1988. http://www.theses.fr/1988LYO1M241.
Ribeiro, Eduardo Francisco. "Lineamento regional no norte do Pantanal separando áreas de vegetação fenológica e floristicamente distintas: evidências de diversidade ambiental originada por neotectônica". Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/44/44137/tde-22082017-090048/.
The Pantanal is an active quaternary sedimentary basin of low slope that is being filled mainly by fluvial megafans. Despite having a flat relief and a geology at first glance monotonous, the Pantanal is a mosaic of different environments. The presence, intensity, and duration of floods are considered the most important cause of environmental variability, implying that small variations in the relief have a drastic floristic and phenological influence. These spatially expressive variations generate vegetation lineaments and stream captures and are associated to neotectonics, responsible for the seismicity of this basin. In order to analyze this vegetation lineament, several data sources were used, including remote sensing images, aeromagnetometry data and floristic data obtained in the field. The main tool was a series of 15 years of MODIS sensor NDVI images (345 composite images of 16 days). With these images, the land surface phenology (LSP) was approached in the region of the lineament, which presents a remarkable variability. Both continuous and one-year average temporal profiles and a series of phenological metrics were obtained, which were analyzed with the aid of swath profiles and statistical data. The LSP results demonstrated the important senescence associated with the drought period occurring only in the SE portion of the lineament, while the NW vegetation remaining green even in the months without expressive rains. TRMM data (2001-2015) showed that there is not a great difference in the rainfall of the region of the lineament, and when compared to the NDVI data, allowed to demonstrate a greater relation between greenness of the vegetation and rainfall to the SE of the lineament and independence of the greenness to the local rainfall to NW. Despite the indication that the NW region is lower than the SE region, this cannot prove by the SRTM digital elevation model. The floristic data obtained in 17 forest plots at an advanced regeneration stage were treated in three approaches: ordering the Jaccard (J) similarity indices, hierarchical clustering of these indices and obtaining the J considering the plots made on each side of the lineament as samples from the same region (NW and SE). The geophysical data suggest that this lineament is the continuity of a fault zone northeast of the Pantanal associated with the TransBrasilian Lineament. The data set characterizes the studied lineament as an environmental boundary between areas that flood with different frequencies and durations. Due to the extension, linearity and tectonic context, it is considered that the lineament is the expression in the vegetation of a fault with vertical displacement component, showing the importance of neotectonics in the environmental diversity of the Pantanal.
Delbosc, Pauline. "Phytosociologie dynamico-caténale des végétations de la Corse : méthodologies typologique et cartographique". Thesis, Brest, 2015. http://www.theses.fr/2015BRES0069/document.
Since the 1970’s and particularly through the works of Tüxen (1978) and Géhu & Rivas-Martínez (1981), the dynamico-catenal phytosociology allowed to better integrate vegetation dynamics, by describing more precisely the dynamic trajectories of vegetation series. If vegetations dynamic study methodologies have been developped over the recent decades in Europe, such works still remain scarce in France. A national program of habitat mapping (CarHAB), launched by the Ministry of Ecology, since 2011, aims to map the vegetation and vegetation series of metropolitan France at the scale of 1: 25 000 up to 2025. Within this context, Corsica has been chosen as a "pilot" region, due to its peculiarities regarding mediterranean and alticole vegetations. Beyond this singularity, the evolution of agropastoral society over the twentieth century caused main changes the landscape of Corsica and represents a major issue to understand the changes of dynamic trajectories of vegetation. Our methodology, based on an inductive and semi-deductive phytosociological approach, allows to describe vegetationsystems of Corsica.This study, firstly focused on bioclimatology, geomorphology and phytogeography, allows to typify and spatialize ecological units, in order to better understand ecological patterns that govern the layout and the zonation of vegetation and more widely vegetation series and geoseries. The principles of landscape phytosociology have been revised and adapted to the conservation management aims and spatial planning of the CarHAB program. 78 units, 34 series, 14 minoriseries and 30 geopermaseries are presented according to several descriptive criteria: ecology, chorology, serie head structure and nomenclature, dynamics trajectories and conservation.A mapping method was developed to spatialize sigmetal and geosigmetal units : the outcomes are presented in a mapping atlas concerning eight valleys and trays (Asco, Cap Corse, Niolu, Fium-Alto, Haut-Vénacais, Cuscione, Bonifacio) and 31 coastal sites.A few bioevaluation methods are tested and discussed to match the challenges of conservation series and vegetation géoséries, as well as evaluation protected sites (Biguglia, Haut-Vénacais)
Rodrigues, Arlete da Silva. "Analysis of vegetation dynamics using time-series vegetation index data from Earth Observation Satellites". Doctoral thesis, 2014. https://repositorio-aberto.up.pt/handle/10216/77510.
Rodrigues, Arlete da Silva. "Analysis of vegetation dynamics using time-series vegetation index data from Earth Observation Satellites". Tese, 2014. https://repositorio-aberto.up.pt/handle/10216/77510.
Laštovička, Josef. "Hodnocení lesní vegetace pomocí časových řad družicových snímků". Doctoral thesis, 2020. http://www.nusl.cz/ntk/nusl-435801.
Cadman, Ann. "The relationship between pollen rain, vegetation, climate, meteorological factors and land-use in the PWV, Transvaal". Thesis, 1991. http://hdl.handle.net/10539/22026.
AC2017
Laštovička, Josef. "Hodnocení časových řad družicových snímků k pozorování disturbancí v oblasti Nízkých Tater". Master's thesis, 2016. http://www.nusl.cz/ntk/nusl-347029.