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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Other Authors: Li, Jun (Editor), Shen, Xinyi (Editor), Wu, Qiusheng (Editor), Zhang, Chengye (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
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DOAB: description of the publication
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520 |a 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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650 7 |a Geography  |2 bicssc 
653 |a ecological cumulative effect 
653 |a coal mining area 
653 |a quantitative remote sensing 
653 |a ecology and environment 
653 |a land surface temperature 
653 |a soil moisture 
653 |a forest disturbance mapping 
653 |a multitemporal CNN 
653 |a large-scale long time-series 
653 |a disturbance type 
653 |a ecosystem service value 
653 |a degree of economic and environmental coordination 
653 |a land use change 
653 |a sustainable development 
653 |a analysis of driving force 
653 |a quantify 
653 |a GWDF-ANN 
653 |a FVC 
653 |a vegetation cover 
653 |a mining area 
653 |a CEEMDAN method 
653 |a GA-SVM model 
653 |a decomposition 
653 |a prediction 
653 |a water quality 
653 |a remote sensing imagery 
653 |a water body extraction 
653 |a Tasseled Cap transformation 
653 |a WFV onboard Gaofen-1 
653 |a accuracy evaluation 
653 |a GEE 
653 |a long-term time series images 
653 |a land use classification 
653 |a spatial modeling 
653 |a land degradation 
653 |a Huangshui watershed 
653 |a SBAS 
653 |a two-dimensional deformation sequence 
653 |a water-level adjustment 
653 |a joint time-frequency analysis (JTFA) 
653 |a multi-scale response analysis 
653 |a hysteresis effect 
653 |a deep learning forecasting model 
653 |a dams and reservoirs 
653 |a climate change 
653 |a ANUSPLIN 
653 |a LSTM 
653 |a trend analysis 
653 |a Pedicularis 
653 |a positive and unlabeled learning 
653 |a dynamic variation 
653 |a change detection 
653 |a PlanetScope 
653 |a heritage corridors 
653 |a system construction 
653 |a minimum cumulative resistance (MCR) model 
653 |a spatial syntax 
653 |a the Shu Road 
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