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Universitätsbibliothek Heidelberg
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 Online-Ressource
Titel:Advanced Remote Sensing for Urban and Landscape Ecology
Mitwirkende:Mustak, Sk [HerausgeberIn]   i
 Singh, Dharmaveer [HerausgeberIn]   i
 Srivastava, Prashant Kumar [HerausgeberIn]   i
Verf.angabe:edited by Sk. Mustak, Dharmaveer Singh, Prashant Kumar Srivastava
Ausgabe:1st ed. 2023.
Verlagsort:Singapore
 Singapore
Verlag:Springer Nature Singapore
 Imprint: Springer
E-Jahr:2023
Jahr:2023.
 2023.
Umfang:1 Online-Ressource(XIII, 317 p. 153 illus., 129 illus. in color.)
Gesamttitel/Reihe:Advances in Geographical and Environmental Sciences
ISBN:978-981-9930-06-7
Abstract:Data And Urban Poverty: Detecting And Characterising Slums And Deprived Urban Areas In Low-And Middle-Income Countries -- Investigation Of Ecological Sustainability Through The Landscape Approach Of Geospatial Technology: Study From New Town Project In Eastern India -- Advanced Remote Sensing For Sustainable Decent Housing For The Economically Challenged Urban Households -- Impact Of Uncontrolled Tourism Development On Landscape Ecology Of Purba Medinipur Coastal Region, West Bengal: A 4-C Framework And Swoc Analysis -- Impact Of Urban Heat Island: A Local-Level Urban Climate Phenomenon On Urban Ecology And Human Health -- Identification Of Environmental Epidemiology Through Advanced Remote Sensing Based On Ndvi -- Assessment Of Land Utilization Pattern And Their Relationship With Surface Temperature And Vegetation In Sikkim, India -- Monitoring Land Use And Land Cover Change Over Bhiwani District Using Google Earth Engine -- Image And Perception Of Royal Heritage And Eco-Space Of The Medium Towns In India: Reflection From Burdwan Royal Heritage Site -- Governance And Floodplain Extent Changes Of Yamuna River Floodplain In Megacity Delhi -- Assessing Urban Compactness Using Machine Learning And Earth Observation Datasets: A Case Study Of Kolkata City -- Analysis Of Ecological Vulnerability Behind The Land Conversion From Agriculture To Aquaculture Of Purba Medinipur District In West Bengal, India -- Environmental Change Analysis Using Remote Sensing And Gis: A Study Of Upper Baitarani Basin, Odisha -- Mapping Urban Footprint Using Machine Learning And Public Domain Datasets.
 This book introduces the use of various remote sensing data such as microwave, hyperspectral and very high-resolution (VHR) satellite imagery; mapping techniques including pixel and object-based machine learning; and geostatistical modelling techniques including cellular automation, entropy and land fragmentation. Remote sensing plays a vital role in solving urban and environmental challenges at the landscape level. Globally, more than half of the urban population is facing severe environmental and social challenges, especially those relating to climate change, agricultural land encroachment, green infrastructure and environmental degradation, mobility due to rapid rural–urban transformation and anthropogenic interventions. Mapping and quantification of such threats at the landscape level are challenging for experts using traditional techniques; however, remote sensing technology provides diverse spatial data at a varying scale, volume and accessibility for mapping and modelling, and it also analyses challenges at urban and landscape levels. Together, they address challenges at urban and landscape levels to support the Sustainable Development Goals (SDGs).
DOI:doi:10.1007/978-981-99-3006-7
URL:Resolving-System: https://doi.org/10.1007/978-981-99-3006-7
 DOI: https://doi.org/10.1007/978-981-99-3006-7
Schlagwörter:(g)Indien   i / (s)Fernerkundung   i / (s)Geoökosystem   i / (s)Landnutzung   i / (s)Landschaftsökologie   i / (s)Angewandte Geografie   i
 (s)Datenanalyse   i / (s)Optische Fernerkundung   i / (s)Mikrowellenfernerkundung   i / (s)Datenauswertung   i / (s)Hyperspektraler Sensor   i / (s)Infrarotspektroskopie   i
 (s)Agrarlandschaft   i / (s)Ballungsraum   i / (s)Anthropogeografie   i / (s)Landwirtschaftliche Nutzfläche   i / (s)Bodennutzung   i / (s)Stadtregion   i
 (s)Satellitenbildauswertung   i / (s)Maschinelles Lernen   i / (s)Geostatistik   i / (s)Interpretation   i / (s)Geoinformationssystem   i
Datenträger:Online-Ressource
Dokumenttyp:Aufsatzsammlung
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe
 Erscheint auch als : Druck-Ausgabe
 Erscheint auch als : Druck-Ausgabe
 Erscheint auch als : Druck-Ausgabe: Advanced remote sensing for urban and landscape ecology. - Singapore : Springer, 2023. - xiii, 317 Seiten
Sach-SW:Cartography, map-making & projections
 Ecological science, the Biosphere
 Geographical information systems (GIS) & remote sensing
 Geographische Informationssysteme (GIS) und Fernerkundung
 Human geography
 Humangeographie
 Kartographie, Kartierung
 POLITICAL SCIENCE / Public Policy / City Planning & Urban Development
 SCIENCE / Life Sciences / Ecology
 SOCIAL SCIENCE / Human Geography
 Stadt- und Gemeindeplanung und -politik
 TECHNOLOGY & ENGINEERING / Cartography
 TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems
 Urban & municipal planning
 Ökologie, Biosphäre
K10plus-PPN:1851062343
 
 
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