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

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

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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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Keywords

  • accuracy evaluation
  • analysis of driving force
  • ANUSPLIN
  • CEEMDAN method
  • change detection
  • Climate Change
  • coal mining area
  • dams and reservoirs
  • decomposition
  • deep learning forecasting model
  • degree of economic and environmental coordination
  • disturbance type
  • dynamic variation
  • ecological cumulative effect
  • Ecology and Environment
  • Ecosystem service value
  • forest disturbance mapping
  • FVC
  • GA-SVM model
  • GEE
  • Geography
  • GWDF-ANN
  • heritage corridors
  • Huangshui watershed
  • hysteresis effect
  • joint time-frequency analysis (JTFA)
  • Land Degradation
  • Land surface temperature
  • Land use change
  • land use classification
  • large-scale long time-series
  • long-term time series images
  • LSTM
  • minimum cumulative resistance (MCR) model
  • mining area
  • multi-scale response analysis
  • multitemporal CNN
  • Pedicularis
  • PlanetScope
  • positive and unlabeled learning
  • prediction
  • quantify
  • quantitative remote sensing
  • Reference, information & interdisciplinary subjects
  • remote sensing imagery
  • Research & information: general
  • SBAS
  • soil moisture
  • spatial modeling
  • spatial syntax
  • Sustainable development
  • system construction
  • Tasseled Cap transformation
  • the Shu Road
  • Trend Analysis
  • two-dimensional deformation sequence
  • vegetation cover
  • water body extraction
  • Water quality
  • water-level adjustment
  • WFV onboard Gaofen-1

Links

DOI: 10.3390/books978-3-0365-9329-6

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