Reprint

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

Edited by
November 2023
254 pages
  • ISBN978-3-0365-9328-9 (Hardback)
  • ISBN978-3-0365-9329-6 (PDF)

This book is a reprint of the Special Issue Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities that was published in

Engineering
Environmental & Earth Sciences
Summary

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.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
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