Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities

Over recent decades, intense human activities, including urban expansion, industrial emissions, farming, deforestation, mining, tourism, and land reclamation, have significantly transformed the natural environment. These changes give rise to environmental challenges like arable land degradation, def...

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Được phát hành: MDPI - Multidisciplinary Digital Publishing Institute 2023
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collection Directory of Open Access Books
description Over recent decades, intense human activities, including urban expansion, industrial emissions, farming, deforestation, mining, tourism, and land reclamation, have significantly transformed the natural environment. These changes give rise to environmental challenges like arable land degradation, deforestation, air and water pollution. Effective environmental protection and governance are crucial, particularly in environmentally vulnerable areas like farming-pastoral transitional zones, wetlands, arid regions, coastlines, and alpine-cold regions. Remote sensing proves invaluable in assessing environmental parameters and monitoring regional or global environmental changes over long-term history. Geospatial methods, grounded in remotely sensed images and other datasets, help analyze the compounded effects of multiple factors influenced by human activities. This reprint focuses on new theories, datasets, methods, findings, and applications to address essential questions about environmental changes. It explores how to monitor changes resulting from human activities, quantify their environmental impact, and assess the combined influence of natural disturbances and human alterations. The goal is to uncover patterns and mechanisms of environmental evolution, fostering knowledge exchange and innovative research for effective environmental protection and governance.
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language eng
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publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-1287862024-03-28T03:31:37Z Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities Li, Jun Shen, Xinyi Wu, Qiusheng Zhang, Chengye ecological cumulative effect coal mining area quantitative remote sensing ecology and environment land surface temperature soil moisture forest disturbance mapping multitemporal CNN large-scale long time-series disturbance type ecosystem service value degree of economic and environmental coordination land use change sustainable development analysis of driving force quantify GWDF-ANN FVC vegetation cover mining area CEEMDAN method GA-SVM model decomposition prediction water quality remote sensing imagery water body extraction Tasseled Cap transformation WFV onboard Gaofen-1 accuracy evaluation GEE long-term time series images land use classification spatial modeling land degradation Huangshui watershed SBAS two-dimensional deformation sequence water-level adjustment joint time-frequency analysis (JTFA) multi-scale response analysis hysteresis effect deep learning forecasting model dams and reservoirs climate change ANUSPLIN LSTM trend analysis Pedicularis positive and unlabeled learning dynamic variation change detection PlanetScope heritage corridors system construction minimum cumulative resistance (MCR) model spatial syntax the Shu Road thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography Over recent decades, intense human activities, including urban expansion, industrial emissions, farming, deforestation, mining, tourism, and land reclamation, have significantly transformed the natural environment. These changes give rise to environmental challenges like arable land degradation, deforestation, air and water pollution. Effective environmental protection and governance are crucial, particularly in environmentally vulnerable areas like farming-pastoral transitional zones, wetlands, arid regions, coastlines, and alpine-cold regions. Remote sensing proves invaluable in assessing environmental parameters and monitoring regional or global environmental changes over long-term history. Geospatial methods, grounded in remotely sensed images and other datasets, help analyze the compounded effects of multiple factors influenced by human activities. This reprint focuses on new theories, datasets, methods, findings, and applications to address essential questions about environmental changes. It explores how to monitor changes resulting from human activities, quantify their environmental impact, and assess the combined influence of natural disturbances and human alterations. The goal is to uncover patterns and mechanisms of environmental evolution, fostering knowledge exchange and innovative research for effective environmental protection and governance. 2023-11-30T20:52:37Z 2023-11-30T20:52:37Z 2023 book ONIX_20231130_9783036593289_238 9783036593289 9783036593296 https://directory.doabooks.org/handle/20.500.12854/128786 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8252 https://mdpi.com/books/pdfview/book/8252 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9329-6 10.3390/books978-3-0365-9329-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036593289 9783036593296 254 Basel open access
spellingShingle ecological cumulative effect
coal mining area
quantitative remote sensing
ecology and environment
land surface temperature
soil moisture
forest disturbance mapping
multitemporal CNN
large-scale long time-series
disturbance type
ecosystem service value
degree of economic and environmental coordination
land use change
sustainable development
analysis of driving force
quantify
GWDF-ANN
FVC
vegetation cover
mining area
CEEMDAN method
GA-SVM model
decomposition
prediction
water quality
remote sensing imagery
water body extraction
Tasseled Cap transformation
WFV onboard Gaofen-1
accuracy evaluation
GEE
long-term time series images
land use classification
spatial modeling
land degradation
Huangshui watershed
SBAS
two-dimensional deformation sequence
water-level adjustment
joint time-frequency analysis (JTFA)
multi-scale response analysis
hysteresis effect
deep learning forecasting model
dams and reservoirs
climate change
ANUSPLIN
LSTM
trend analysis
Pedicularis
positive and unlabeled learning
dynamic variation
change detection
PlanetScope
heritage corridors
system construction
minimum cumulative resistance (MCR) model
spatial syntax
the Shu Road
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities
title Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities
title_full Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities
title_fullStr Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities
title_full_unstemmed Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities
title_short Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities
title_sort remote sensing and geospatial approaches for studying the environment affected by human activities
topic ecological cumulative effect
coal mining area
quantitative remote sensing
ecology and environment
land surface temperature
soil moisture
forest disturbance mapping
multitemporal CNN
large-scale long time-series
disturbance type
ecosystem service value
degree of economic and environmental coordination
land use change
sustainable development
analysis of driving force
quantify
GWDF-ANN
FVC
vegetation cover
mining area
CEEMDAN method
GA-SVM model
decomposition
prediction
water quality
remote sensing imagery
water body extraction
Tasseled Cap transformation
WFV onboard Gaofen-1
accuracy evaluation
GEE
long-term time series images
land use classification
spatial modeling
land degradation
Huangshui watershed
SBAS
two-dimensional deformation sequence
water-level adjustment
joint time-frequency analysis (JTFA)
multi-scale response analysis
hysteresis effect
deep learning forecasting model
dams and reservoirs
climate change
ANUSPLIN
LSTM
trend analysis
Pedicularis
positive and unlabeled learning
dynamic variation
change detection
PlanetScope
heritage corridors
system construction
minimum cumulative resistance (MCR) model
spatial syntax
the Shu Road
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
topic_facet ecological cumulative effect
coal mining area
quantitative remote sensing
ecology and environment
land surface temperature
soil moisture
forest disturbance mapping
multitemporal CNN
large-scale long time-series
disturbance type
ecosystem service value
degree of economic and environmental coordination
land use change
sustainable development
analysis of driving force
quantify
GWDF-ANN
FVC
vegetation cover
mining area
CEEMDAN method
GA-SVM model
decomposition
prediction
water quality
remote sensing imagery
water body extraction
Tasseled Cap transformation
WFV onboard Gaofen-1
accuracy evaluation
GEE
long-term time series images
land use classification
spatial modeling
land degradation
Huangshui watershed
SBAS
two-dimensional deformation sequence
water-level adjustment
joint time-frequency analysis (JTFA)
multi-scale response analysis
hysteresis effect
deep learning forecasting model
dams and reservoirs
climate change
ANUSPLIN
LSTM
trend analysis
Pedicularis
positive and unlabeled learning
dynamic variation
change detection
PlanetScope
heritage corridors
system construction
minimum cumulative resistance (MCR) model
spatial syntax
the Shu Road
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
url ONIX_20231130_9783036593289_238