Land Surface Monitoring Based on Satellite Imagery

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: air temperature; automatic monitoring; cacti; change detection; climate change; coastal plain of Tabasco; crop coefficient; crop residue; dew point temperature; differential interferograms stacking; DInSAR; drone; drought; Economics; Economics of specific sectors; Economics, Finance, Business and Management; emissivity; Environmental economics; evapotranspiration; floods; fusion; Google Earth Engine; heterogeneity; humidity; hyperspectral; incidence angle; infrared observations; LAI; land subsidence; land-cover change; landsat; landscape metrics; leaf area index; machine learning algorithm; non-urban areas; random forest; Rao’s Q index; REDD; Reference, Information and Interdisciplinary subjects; reflective and radar bands; remote sensing; remote sensing/GIS; Research and information: general; RVI; SAR; satellite; Sentinel-1; Sentinel-2; spatial dynamics; spectral bands; spectral variation hypothesis; surface temperature; thermal band; thermal infrared; time series; Togo; UHI intensity; UHI regional impacts; urban heat island; urban planning; urbanization; urban–rural gradient; vegetation indices; water deficit index
• ISBN: 3036559299; 9783036559292; 9783036559308; 3036559302
• DOI: 10.3390/books978-3-0365-5930-8

This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought.