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

• Andere auteurs: Li, Jun (Redacteur), Shen, Xinyi (Redacteur), Wu, Qiusheng (Redacteur), Zhang, Chengye (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Onderwerpen: Research & information: general; Geography; 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
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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...