國立虎尾科技大學 |

Advanced remote sensing for urban and landscape ecology

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advanced remote sensing for urban and landscape ecology/ edited by Sk. Mustak, Dharmaveer Singh, Prashant Kumar Srivastava.
其他作者:	Srivastava, Prashant Kumar.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xiii, 317 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Human Geography. -
電子資源:	https://doi.org/10.1007/978-981-99-3006-7
ISBN:	9789819930067

Advanced remote sensing for urban and landscape ecology
Advanced remote sensing for urban and landscape ecology[electronic resource] /edited by Sk. Mustak, Dharmaveer Singh, Prashant Kumar Srivastava. - Singapore :Springer Nature Singapore :2023. - xiii, 317 p. :ill. (some col.), digital ;24 cm. - Advances in geographical and environmental sciences,2198-3550. - Advances in geographical and environmental sciences..

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)

ISBN: 9789819930067

Standard No.: 10.1007/978-981-99-3006-7doiSubjects--Topical Terms:

670481
Human Geography.

LC Class. No.: QH541.5.C6

Dewey Class. No.: 577.560285

Advanced remote sensing for urban and landscape ecology
LDR:03907nam a2200337 a 4500 001 1105771
003 DE-He213
005 20230623134041.0
006 m d
007 cr nn 008maaau
008 231013s2023 si s 0 eng d
020 $a 9789819930067 $q (electronic bk.)
020 $a 9789819930050 $q (paper)
024 7 $a 10.1007/978-981-99-3006-7 $2 doi
035 $a 978-981-99-3006-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QH541.5.C6
072 7 $a RGW $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a RGW $2 thema
082 0 4 $a 577.560285 $2 23
090 $a QH541.5.C6 $b A244 2023
245 0 0 $a Advanced remote sensing for urban and landscape ecology $h [electronic resource] / $c edited by Sk. Mustak, Dharmaveer Singh, Prashant Kumar Srivastava.
260 $a Singapore : $c 2023. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xiii, 317 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advances in geographical and environmental sciences, $x 2198-3550
505 0 $a 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.
520 $a 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)
650 2 4 $a Human Geography. $3 670481
650 2 4 $a Urban Ecology. $3 676885
650 2 4 $a Cartography. $3 797745
650 1 4 $a Geographical Information System. $3 1365742
650 0 $a Landscape ecology $x Remote sensing. $3 1342439
650 0 $a Urban ecology (Biology) $x Remote sensing. $3 1414925
700 1 $a Srivastava, Prashant Kumar. $3 1414924
700 1 $a Singh, Dharmaveer. $e editor. $3 1349752
700 1 $a Mustak, Sk. $3 1414923
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Advances in geographical and environmental sciences. $3 1063238
856 4 0 $u https://doi.org/10.1007/978-981-99-3006-7
950 $a Earth and Environmental Science (SpringerNature-11646)