Literatura académica sobre el tema "Environmental management – remote sensing"
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Artículos de revistas sobre el tema "Environmental management – remote sensing"
Herbei, Mihai Valentin, Roxana Herbei, Laura Smuleac y Tudor Salagean. "Using Remote Sensing Techniques in Environmental Management". Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Agriculture 73, n.º 2 (30 de noviembre de 2016): 230. http://dx.doi.org/10.15835/buasvmcn-agr:12441.
Texto completoTu, Thanh Tri. "Application of Remote Sensing for Environmental Management in Vietnam". European Modern Studies Journal 7, n.º 2 (22 de mayo de 2023): 39–46. http://dx.doi.org/10.59573/emsj.7(2).2023.04.
Texto completoDube, Timothy, Munyaradzi D. Shekede y Christian Massari. "Remote Sensing for Water Resources and Environmental Management". Remote Sensing 15, n.º 1 (21 de diciembre de 2022): 18. http://dx.doi.org/10.3390/rs15010018.
Texto completoAmpofo, Justice Agyei. "THE USE OF REMOTE SENSING IN GHANA TO SUSTAINABLY MANAGE THE ENVIRONMENT". International Journal of Applied Research in Social Sciences 4, n.º 6 (29 de agosto de 2022): 214–20. http://dx.doi.org/10.51594/ijarss.v4i6.364.
Texto completoKenneth Agbemehia, Ibrahim Abubakari Imoro, Shiraz Yakubu Anas y Ibrahim Issahaku. "The application of remote sensing in sustainable environmental management in Ghana". Engineering Science & Technology Journal 5, n.º 6 (1 de junio de 2024): 1817–25. http://dx.doi.org/10.51594/estj.v5i6.1163.
Texto completoLougeay, Ray, P. N. Gupta y A. K. Roy. "Mountain Resource Management and Remote Sensing". Mountain Research and Development 16, n.º 3 (agosto de 1996): 329. http://dx.doi.org/10.2307/3673961.
Texto completoVerma, Badal, Muskan Porwal, A. K. Jha, R. G. Vyshnavi, Alok Rajpoot y Ashish Kumar Nagar. "Enhancing Precision Agriculture and Environmental Monitoring Using Proximal Remote Sensing". Journal of Experimental Agriculture International 45, n.º 8 (5 de julio de 2023): 162–76. http://dx.doi.org/10.9734/jeai/2023/v45i82168.
Texto completoHuang, Shiyuan. "Application of Remote Sensing Technology in the Field of Lake Pollution Control and Monitoring". Highlights in Science, Engineering and Technology 69 (6 de noviembre de 2023): 135–41. http://dx.doi.org/10.54097/hset.v69i.11850.
Texto completoWu, Yue, Maoguo Gong, Qiguang Miao y Kai Qin. "Computational Intelligence in Remote Sensing". Remote Sensing 15, n.º 22 (12 de noviembre de 2023): 5325. http://dx.doi.org/10.3390/rs15225325.
Texto completoGetie, Sintayehu, Asabeneh Alemayehu y Antensay Mekoya. "Relevance of Remote Sensing and its Applications in Forestry. A Critical Review". East African Journal of Forestry and Agroforestry 7, n.º 1 (13 de marzo de 2024): 87–112. http://dx.doi.org/10.37284/eajfa.7.1.1818.
Texto completoTesis sobre el tema "Environmental management – remote sensing"
Pretorius, Cindy. "Digital satellite remote sensing for terrestrial coastal zone management". Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52804.
Texto completoENGLISH ABSTRACT: The unique and often fragile environment of the coastal zone is placed under increasing pressure by human development. It is expected that three quarters of the world's population will be living within 60km of the coast by the year 2020. Thorough planning and management are required to prevent coastal degradation. In South Africa, coastal management efforts are being promoted through the implementation of a White Paper for sustainable coastal development. A Coastal Decision Support System (CDSS) was developed to empower local authorities to demarcate and manage sensitive coastal areas by giving them access to relevant botanical and physical information. Land cover/use information for the CDSS was previously mapped manually from hardcopy aerial photography. This method was found to be time-consuming and costly. This study investigated the potential for digital satellite imagery as primary source of data for populating the land cover/use information of the CDSS. A methodology was designed utilising semi-supervised isodata clustering for extracting relevant information for a study area covering 40x20km of coast along the southern coastal sector of South Africa. Digital mapping of SPOT 4 multispectral satellite data was used successfully to map land cover/use information such as wetlands, coastal lakes, dune vegetation, urban areas, forest plantations, natural forest and agricultural areas. A cost comparison was also made between the digital mapping method from satellite imagery used in this research project and the manual mapping from aerial photography. Digital mapping from satellite imagery was found to be more cost-effective in terms of both data and human resource costs. The method outlined and discussed in the research project should provide sufficient guidance for future application of the techniques in populating the CDSS with land cover/use information.
AFRIKAANSE OPSOMMING: Die unieke en dikwels sensitiewe landskap in die kussone is onder aansienlike druk weens ontwikkeling deur mense. Daar word verwag dat 'n derde van die wêreldbevolking teen die jaar 2020 binne 60km van die kus woonagtig sal wees. Dit sal deeglike beplanning en bestuur verg om die agteruigang van hierdie gebied te bekamp. Kussonebestuur word in Suid Afrika aangemoedig deur die implementering van 'n Witskrif vir volhoubare kussone-ontwikkeling. 'n Kusgebied-besluitnemingsondersteuningstelsel (KBOS) is ontwikkel in 'n poging om plaaslike owerhede te bemagtig om sensitiewe kusgebiede af te baken en te bestuur. Die KBOS verleen plaaslike owerhede toegang tot toepaslike inligting oor botaniese en fisiese o~standighede. Grondbedekkinginligting vir die KBOS is in die verlede vanaf hardekopie lugfoto's gekarteer. Hierdie metode is tydrowend en duur. Die potensiaal van digitale satellietbeelde as hoof databron om grondbedekkinginligting vir die KBOS te voorsien is in hierdie studie ondersoek. 'n Metode word in die tesis uiteengesit om 'semi-supervised isodata clustering' te gebruik om die nodige inligting uit die data te onttrek. Die studiegebied sluit 'n area van 40x20km langs die suid kus van Suid Afrika in. Digitale kartering vanaf SPOT 4 multispektrale satellietdata is suksesvol gebruik om grondbedekkingsinligting soos vleilande, kusmere, duin-plantegroei, stedelike gebiede, bosbou, natuurlike bos en landbougebiede te karteer. 'n Kostevergelyking is gedoen tussen die digitale karteringsmetode vanaf satellietbeelde in vergeleke met handkartering vanaf lugfotografie. Die digitale karteringsmetode blyk meer koste-effektief te wees beide in terme van die datakoste sowel as die koste verbonde aan mannekrag. Die omskrywing van die metode in die tesis behoort as goeie riglyn te dien vir die toepassing van die tegniek om grondbedekkinginligting voor te berei vir die KBOS.
Flores, Cordova Africa Ixmucane. "Hyperspectral remote sensing of water quality in Lake Atitlan, Guatemala". Thesis, The University of Alabama in Huntsville, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1549067.
Texto completoLake Atitlan in Guatemala is a vital source of drinking water. The deteriorating conditions of water quality in this lake threaten human and ecological health as well as the local and national economy. Given the sporadic and limited measurements available, it is impossible to determine the changing conditions of water quality. The goal of this thesis is to use Hyperion satellite images to measure water quality parameters in Lake Atitlan. For this purpose in situ measurements and satellite-derived reflectance data were analyzed to generate an algorithm that estimated Chlorophyll concentrations. This research provides for the first time a quantitative application of hyperspectral satellite remote sensing for water quality monitoring in Guatemala. This approach is readily transferable to other countries in Central America that face similar issues in the management of their water resources.
Tooke, Thoreau Rory. "Remote sensing applications for vegetation management in urban environments". Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/11502.
Texto completoAlmamalachy, Yousif. "Utilization of Remote Sensing in Drought Monitoring Over Iraq". Thesis, Portland State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10283891.
Texto completoAgricultural drought is a creeping disaster that overshadows the vegetative cover in general and cropland specifically in Iraq, a country that was well known for its agricultural production and fertile soil. In the recent years, the arable lands in Iraq experienced increasing land degradation that led to desertification, economic losses, food insecurity, and deteriorating environment. Remote sensing is employed in this study and four different indices are utilized, each of which is derived from MODIS satellite mission products. Agricultural drought maps are produced from 2003 to 2015 after masking the vegetation cover. Year 2008 was found the most severe drought year during the study period, where drought covered 37% of the vegetated land. This part of the study demonstrated the capability of remote sensing in fulfilling the need of an early warning system for agricultural drought over such a data-scarce region.
This study also aims to monitor hydrological drought. The Gravity Recovery and Climate Experiment (GRACE) satellite-derived monthly Terrestrial Water Storage (TWS) is the hydrological drought indicator, that is used to calculate the deficit. Severity of drought events are calculated by integrating monthly water deficit over the drought period. In addition, drought recovery time is assessed depending on the estimated deficit. Major drought events are classified into several levels of severity by applying a drought monograph approach. The results demonstrated that GRACE TWS is a reliable indicator for drought assessment over Iraq, and provides useful information for decision makers which can be utilized in developing drought adaptation and mitigation strategies.
Li, Yan. "An integrated water quality monitoring system with dynamic remote sensing feedback /". Online version of thesis, 2007. http://hdl.handle.net/1850/5834.
Texto completoYetman, Gregory George. "Spatial information and environmental decision making : the Windermere Valley, British Columbia". Thesis, McGill University, 1999. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=30231.
Texto completoCabezas, Rabadán Carlos. "Beach Morphology and its Dynamism from Remote Sensing for Coastal Management Support". Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/165076.
Texto completo[CAT] Les platges són espais costaners que desenvolupen nombroses funcions ambientals. Aquestes proporcionen importants beneficis a la societat i comunitats costaneres, entre les quals destaquen la funció ecològica, el subministrament de protecció per als territoris costaners i el fet que constitueixen un recurs bàsic de la indústria turística. De forma lligada al canvi climàtic, així com a accions humanes que alteren el dinamisme natural de la costa, les platges estan experimentant processos erosius cada vegada més nocius que afecten la seua integritat física i al manteniment de les seues funcions. La gestió de les platges en moltes ocasions no es troba adaptada a les particularitats dels diferents segments costaners. La presa de decisions no es sustenta en informació suficient sobre les característiques, el dinamisme i l'estat actual de les platges, donant lloc a solucions curtterministes o ineficaces. Les característiques geomorfològiques són essencials en el desenvolupament de les seues funcions en condicionar les seues dimensions físiques i el seu comportament enfront de l'acció de la mar. Per això, la seua caracterització de manera detallada i actualitzada és necessària per a dur a terme accions eficients, permetent virar cap a una gestió costanera més ecosistèmica i sostenible. Les tècniques de teledetecció presenten una gran capacitat per a l'adquisició de dades de la superfície terrestre. En concret, els satèl·lits Sentinel-2 i Landsat (5, 7 i 8) permeten disposar de manera gratuïta d'imatges de resolució mitjana amb cobertura mundial i alta freqüència de captura d'informació a un mateix punt. Els algorismes d'extracció de la línia de costa desenvolupats recentment pel Grup de Cartografia Geo-Ambiental i Teledetecció (CGAT - UPV) permeten definir sobre aquestes imatges la posició de la línia de costa, constituint dades potencialment útils per descriure la morfologia de les platges i el seu dinamisme. Universalitzar la seua aplicació requereix el seu testatge i validació en diferents tipus de costa. Per a això, el procés d'extracció ha sigut adaptat per a la seua explotació en entorns mareals, i les línies de costa resultants han sigut avaluades davant diferents condicions oceanogràfiques oferint una precisió pròxima als 5 m RMSE (arrel de l'error quadràtic mitjà). Tenint en compte les necessitats d'informació per a la gestió existents, a partir d'aquestes línies de costa es proposa derivar indicadors que permeten caracteritzar la geomorfologia de les platges i monitorar els seus canvis. Per a això, les metodologies proposades asseguren una gestió eficient de grans volums de línies de costa, sent així capaces de caracteritzar les platges cobrint grans territoris i períodes de temps. Així es deriven l'ample de platja i la grandària dels grans de sediment com a indicadors objectius i fàcilment comprensibles de la geomorfologia de la platja. La modelització espai-temporal de l'estat i els canvis de la línia de costa i de l'amplària possibilita monitorar la resposta de les platges a temporals i a actuacions antròpiques, permetent analitzar els canvis ocorreguts cada pocs dies fins a cobrir dècades. La seua cobertura espacial al costat de la integració amb altres bases de dades cartogràfiques permet caracteritzar la influència de la geomorfologia de la platja en l'acompliment de les seues funcions, permetent una anàlisi holística de la costa a escala regional. Les metodologies desenvolupades en aquesta tesi i els indicadors derivats des de la teledetecció brinden suport per a dotar de criteris i prioritzar les accions dels gestors. Es contribueix així a omplir l'espai existent entre la disponibilitat de tècniques per a obtenir informació remota i la seua aplicació en els processos de presa de decisions sobre la costa.
[EN] Beaches are coastal spaces that perform numerous environmental functions. They provide important benefits to society and coastal communities, including the ecological function, the provision of protection for coastal territories, and constitute a basic resource for the tourism industry. Due to climate change and human actions that alter the natural dynamism of the coast, beaches are experiencing increasingly harmful erosive processes that affect their physical integrity and the maintenance of their ecological functions. Beach management is often not adapted to the particularities of the different coastal segments. Decision-making is not based on sufficient information about characteristics, dynamism, and current state of beaches, resulting in short or ineffective solutions. Geomorphological characteristics are essential in the development of beach functions as they condition their physical dimensions and their behavior in response to the action of the sea. Therefore, their detailed and updated characterization is necessary to carry out efficient actions, allowing a more ecosystemic and sustainable coastal management. Remote sensing techniques have a great capacity for acquiring data from the land surface. In particular, Sentinel-2 and Landsat (5, 7, and 8) satellites freely provide medium resolution images with global coverage and high-revisit frequency. The algorithms for extracting the water/land interface recently developed by the Geo-Environmental Cartography and Remote Sensing Group (CGAT - UPV) allow defining the position of the shoreline on these images, constituting potentially useful data to describe beach morphology and dynamics. Universalizing their application requires testing and validation at different coastal types. For this purpose, the extraction process has been adapted for exploitation in tidal environments, and the resulting shorelines have been assessed under different oceanographic conditions offering an accuracy close to 5 m RMSE (Root-Mean-Square Error). From these shorelines, and taking into account the existing information needs for management, it is proposed to derive indicators to characterize the geomorphology of the beaches and to monitor their changes. To this end, the proposed methodologies ensure the efficient management of large volumes of shorelines, being able to characterize the beaches along broad coastal segments and periods. Thus, beach width and sediment grain size are derived as objective and easily understandable indicators of the beach geomorphology. Spatial-temporal modeling of the state and changes of shoreline position and beach width makes it possible to monitor the response to storms and anthropogenic actions, allowing to analyze changes that occur every few days or over decades. The large spatial coverage together with the integration with other cartographic databases allows characterizing the influence of beach geomorphology in the performance of its functions, offering a holistic view of the coast from a regional scale. The methodologies developed in this thesis and the indicators derived from remote sensing provide support and criteria for prioritizing the actions of managers. This contributes to fill the gap between the availability of techniques to obtain remote information and its application in the coastal decision-making process.
This research integrates findings and results obtained within the framework of the contract FPU15/04501 granted to the author by the Spanish Ministry of Education, Culture, and Sports, which has allowed this doctoral thesis to become a reality. The research has been supported by the funds of the project RESETOCOAST, by the Ministry of Economy, Industry, and Competitiveness (chapters 2 to 5), and the project MONOBESAT PID2019-111435RB-I00 by the Ministry of Science, Innovation, and Universities (chapter 6). About my stay in Portugal, it was possible with the funds of the Erasmus+ program. The contribution of Ó. Ferreira was funded by EW-COAST (PTDC/CTA-OHR/28657/2017) and by FCT and Univ. Algarve through the grant UID/MAR/00350/2013, while S. Costas’ was funded by IF/01047/2014. The following institutions have provided free access to essential data for the development of the publications that constitute this thesis: ESA and USGS for the satellite imagery; Puertos del Estado, and the Portuguese Hydrographic Institute in collaboration with CIMA for supplying oceanographic data; Ministry MITECO and DGSCM for data regarding beach sedimentology and nourishments.
Cabezas Rabadán, C. (2021). Beach Morphology and its Dynamism from Remote Sensing for Coastal Management Support [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/165076
TESIS
Brien, Lynn Ferrara. "Modeling eutrophication vulnerability in coastal Louisiana wetlands impacted by freshwater diversion: a remote sensing approach". Diss., Kansas State University, 2015. http://hdl.handle.net/2097/18999.
Texto completoDepartment of Geography
Kevin P. Price
A major strategy in response to rapid degradation and loss of Louisiana’s coastal wetlands has been the construction of siphon diversion projects. The diversions are designed to reintroduce nutrient enriched freshwater from the Mississippi River into wetland ecosystems to combat saltwater intrusion and stimulate marsh growth. The lack of consensus regarding the effects of river diversions on nutrient enrichment of wetland ecosystems is coupled with major concerns about eutrophication. Locating, assessing, and monitoring eutrophic marsh vegetation represent major challenges to understanding the impacts of freshwater diversions. As a result, this study was undertaken to investigate the feasibility of modeling eutrophication vulnerability of a coastal Louisiana marsh receiving turbid Mississippi River water. The major objective was to integrate remotely sensed data with field measurements of vegetation biophysical characteristics and historical ecosystem survey data to delineate landscape patterns suggestive of vulnerability to eutrophication. The initial step in accomplishing this goal was to model the spatial distribution of freshwater impacts using satellite image-based turbidity frequency data associated with siphon diversion operation. Secondly, satellite and spectroradiometer band combinations and vegetation indices optimal for modeling marsh biophysical characteristics related to nutrient enrichment were identified. Finally, satellite image data were successfully integrated with measures of historical and concurrent marsh biophysical characteristics to model the spatial distribution of eutrophication vulnerability and to elucidate the impacts of freshwater diversions.
Gao, Xiang. "Optical-biophysical relationships and validation of MODIS vegetation indices with multiple fine spatial resolution data in semiarid rangelands". Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/279915.
Texto completoLoew, Teagan K. "Improvement to Total Maximum Daily Load (TMDL) Measurements and Monitoring by Satellite Remote Sensing Applications". Bowling Green State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1333388592.
Texto completoLibros sobre el tema "Environmental management – remote sensing"
Schultz, Gert A. Remote Sensing in Hydrology and Water Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000.
Buscar texto completoWang, Yeqiao. Remote sensing of coastal environments. Boca Raton, FL: CRC Press/Taylor & Francis, 2010.
Buscar texto completoWang, Yeqiao. Remote sensing of coastal environments. Boca Raton, FL: CRC Press/Taylor & Francis, 2010.
Buscar texto completoInternational Symposium on Remote Sensing for Resources Development and Environmental Management. (7th 1986 Enschede, The Netherlands). Remote sensing for resources development and environmental management. Rotterdam, The Netherlands: A. A. Balkema, 1986.
Buscar texto completoL, Ustin Susan y American Society for Photogrammetry and Remote Sensing., eds. Remote sensing for natural resource management and environmental monitoring. Hoboken, NJ: John Wiley & Sons, 2004.
Buscar texto completoB, Pandey C. y R. K. Goyal. Remote sensing for natural resources monitoring & management. Jodhpur, India: Scientific Publishers (India), 2016.
Buscar texto completoYeqiao, Wang, ed. Remote sensing of coastal environments. Boca Raton: Taylor & Francis, 2010.
Buscar texto completoInternational Conference of the Remote Sensing Society and the Center for Earth Resource Management (1985 University of London). Advanced technology for monitoring and processing global environmental data: Proceedings of the international conference of the Remote Sensing Society and the Center for Earth Resources Management held in the University ofLondon, 9-12th September 1985. Reading: Remote Sensing Society, 1985.
Buscar texto completoRegional Seminar on Earth Observation for Tropical Ecosystem Management (6th 1997 Ho Chi Minh City, Vietnam). Remote sensing for tropical ecosystem management: Proceedings of the Sixth Regional Seminar on Earth Observation for Tropical Ecosystem Management, Ho Chi Minh City, Viet Nam, 3-7 November 1997. New York: United Nations, 1997.
Buscar texto completoSameena, M. State remote sensing applications centres: Activities and accomplishments. Bangalore: National Natural Resources Management System, Dept. of Space, 2008.
Buscar texto completoCapítulos de libros sobre el tema "Environmental management – remote sensing"
Chopping, Mark J. "Remote Sensing in Environmental Management". En An Integrated Approach to Environmental Management, 397–422. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118744406.ch17.
Texto completoRochon, Gilbert L., Joseph E. Quansah, Souleymane Fall, Bereket Araya, Larry L. Biehl, Thierno Thiam, Sohaib Ghani et al. "Remote Sensing, Public Health & Disaster Mitigation". En Geospatial Technologies in Environmental Management, 187–209. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9525-1_11.
Texto completoChakraborty, Surajit. "Remote Sensing and GIS in Environmental Management". En Environmental Management: Issues and Concerns in Developing Countries, 185–220. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62529-0_10.
Texto completoDandrawy, Mohamed E. y El-Sayed E. Omran. "Integrated Watershed Management of Grand Ethiopian Renaissance Dam via Watershed Modeling System and Remote Sensing". En Environmental Remote Sensing in Egypt, 533–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39593-3_17.
Texto completoSomvanshi, Shivangi Saxena, Aditi Vashisht, Umesh Chandra y Geetanjali Kaushik. "Delhi Air Pollution Modeling Using Remote Sensing Technique". En Handbook of Environmental Materials Management, 1–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-58538-3_174-1.
Texto completoBhartiya, Anubhav, Deepak Kumar y Praveen Kumar Rai. "Multispectral Remote Sensing for Urban Planning and Development". En Geospatial Technology for Landscape and Environmental Management, 371–82. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7373-3_19.
Texto completoToutin, Thierry. "Map Making with Remote Sensing Data". En Remote Sensing for Environmental Data in Albania: A Strategy for Integrated Management, 65–87. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4357-8_8.
Texto completoSinghroy, V. "Environmental Management in Developing Countries: Remote Sensing Case Studies". En Space of Service to Humanity, 165–77. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5692-9_19.
Texto completoLe Lay, Yves-Francois, Marylise Cottet, Hervé Piégay y Anne Rivière-Honegger. "Ground Imagery and Environmental Perception: Using Photo-Questionnaires to Evaluate River Management Strategies". En Fluvial Remote Sensing for Science and Management, 405–29. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119940791.ch18.
Texto completoSaleh, Hussain Aziz y Georges Allaert. "Scientific Research Based Optimisation and Geo-information Technologies for Integrating Environmental Planning in Disaster Management". En Remote Sensing of the Changing Oceans, 359–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16541-2_19.
Texto completoActas de conferencias sobre el tema "Environmental management – remote sensing"
La Loggia, Goffredo, Elisa Arnone, Giuseppe Ciraolo, Antonino Maltese, Leonardo Noto y Umberto Pernice. "An integrated information system for the acquisition, management and sharing of environmental data aimed to decision making". En SPIE Remote Sensing, editado por Christopher M. U. Neale y Antonino Maltese. SPIE, 2012. http://dx.doi.org/10.1117/12.976300.
Texto completoLu, Guoying. "Flood and drought disasters and water resource management in Xinjiang". En Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, editado por Xiaoling Pan, Wei Gao, Michael H. Glantz y Yoshiaki Honda. SPIE, 2003. http://dx.doi.org/10.1117/12.466186.
Texto completoKlemm, Horst G., Albert Boehm y Karl Segl. "Innovative remote sensing applications for environmental management of a military training area". En International Symposium on Remote Sensing, editado por Manfred Ehlers. SPIE, 2002. http://dx.doi.org/10.1117/12.453669.
Texto completoTeodoro, A., L. Duarte, N. Sillero, J. A. Gonçalves, J. Fonte, L. Gonçalves-Seco, L. M. Pinheiro da Luz y N. M. R. dos Santos Beja. "An integrated and open source GIS environmental management system for a protected area in the south of Portugal". En SPIE Remote Sensing, editado por Ulrich Michel, Karsten Schulz, Manfred Ehlers, Konstantinos G. Nikolakopoulos y Daniel Civco. SPIE, 2015. http://dx.doi.org/10.1117/12.2193578.
Texto completoSullivan, Don, Joseph J. Totah, Steve S. Wegener, Francis Y. Enomoto, Chad R. Frost, John Kaneshige y Jeremy E. Frank. "Intelligent mission management for uninhabited aerial vehicles". En Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, editado por Michael Bevis, Yoshinori Shoji y Steven Businger. SPIE, 2004. http://dx.doi.org/10.1117/12.582446.
Texto completoGhouzlane, Souad. "Wildfire Remote Sensing Applications". En 6th International Students Science Congress. Izmir International Guest Student Association, 2022. http://dx.doi.org/10.52460/issc.2022.027.
Texto completoZeng, Fanjiang, Ximing Zhang, Andrea Foetzki, Xiangyi Li, Xioaming Li y Michael Runge. "Water relation characteristics of Calligonum and consequences for a sustainable management of vegetation in the southern fringe of Takelamakan Desert". En Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, editado por Xiaoling Pan, Wei Gao, Michael H. Glantz y Yoshiaki Honda. SPIE, 2003. http://dx.doi.org/10.1117/12.466569.
Texto completoLejiang Guo, Lei Xiao, Xuanlai Tang y Zhe Hu. "Application of GIS and remote sensing techniques for water resources management". En 2010 2nd Conference on Environmental Science and Information Application Technology (ESIAT). IEEE, 2010. http://dx.doi.org/10.1109/esiat.2010.5568931.
Texto completoLi, Jiren. "Application of Remote Sensing to Water Resources Management in Arid Regions of China". En World Water and Environmental Resources Congress 2004. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40737(2004)119.
Texto completoLEGA, MASSIMILIANO, GABRIELE MEDIO, THEODORE ENDRENY, GERMANA ESPOSITO, VALERIA COSTANTINO y ROBERTA TETA. "ATTRIBUTION OF POLLUTION DISCHARGES IN COASTAL WATERS DURING THE COVID-19 LOCKDOWN USING REMOTE SENSING AND BIOINDICATORS". En WASTE MANAGEMENT AND ENVIRONMENTAL IMPACT 2022. Southampton UK: WIT Press, 2022. http://dx.doi.org/10.2495/wmei220151.
Texto completoInformes sobre el tema "Environmental management – remote sensing"
Bonfil, David J., Daniel S. Long y Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, enero de 2008. http://dx.doi.org/10.32747/2008.7696531.bard.
Texto completoJackson, Samuel, Christina Saltus, Molly Reif y Glenn Suir. During Nearshore Event Vegetation Gradation (DUNEVEG) : geospatial tools for automating remote vegetation extraction. Engineer Research and Development Center (U.S.), septiembre de 2023. http://dx.doi.org/10.21079/11681/47649.
Texto completoGrossman, Denny, Paul Hugo Suding, Alejandro Coca, Carolina Navarrete, Alberto Villalba, Karolina Argote, Andy Jarvis y Louis Reymondin. Road Impact Assessment Using Remote Sensing Methodology for Monitoring Land-Use Change in Latin America: Results of Five Case Studies. Inter-American Development Bank, julio de 2013. http://dx.doi.org/10.18235/0009124.
Texto completoWright, Alex, Peter Sanders, John Proust, Robin Workman, Tadas Andriejauskas y Hao Ye. The new toolkit for highways asset management. TRL, septiembre de 2021. http://dx.doi.org/10.58446/ojct3729.
Texto completoYurovskaya, M. V. y A. V. Yushmanova. Complex Investigations of the World Ocean. Proceedings of the VI Russian Scientific Conference of Young Scientists. Editado por D. A. Alekseev, A. Yu Andreeva, I. M. Anisimov, A. V. Bagaev, Yu S. Bayandina, E. M. Bezzubova, D. F. Budko et al. Shirshov Institute Publishing House, abril de 2021. http://dx.doi.org/10.29006/978-5-6045110-3-9.
Texto completoFriedman, Shmuel, Jon Wraith y Dani Or. Geometrical Considerations and Interfacial Processes Affecting Electromagnetic Measurement of Soil Water Content by TDR and Remote Sensing Methods. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580679.bard.
Texto completoDouglas, Thomas, M. Jorgenson, Hélène Genet, Bruce Marcot y Patricia Nelsen. Interior Alaska DoD training land wildlife habitat vulnerability to permafrost thaw, an altered fire regime, and hydrologic changes. Engineer Research and Development Center (U.S.), febrero de 2022. http://dx.doi.org/10.21079/11681/43146.
Texto completoSeginer, Ido, Louis D. Albright y Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, febrero de 2001. http://dx.doi.org/10.32747/2001.7575271.bard.
Texto completoSparrow, Kent y Sandra LeGrand. Establishing a series of dust event case studies for North Africa. Engineer Research and Development Center (U.S.), febrero de 2023. http://dx.doi.org/10.21079/11681/46445.
Texto completoAhn, Yushin y Richard Poythress. Impervious Surfaces from High Resolution Aerial Imagery: Cities in Fresno County. Mineta Transportation Institute, mayo de 2024. http://dx.doi.org/10.31979/mti.2024.2257.
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