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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.

Research & information: general --- Environmental economics --- Sentinel-2 --- spectral bands --- LAI --- vegetation indices --- Sentinel-1 --- SAR --- RVI --- incidence angle --- crop coefficient --- leaf area index --- urban heat island --- UHI regional impacts --- non-urban areas --- remote sensing --- thermal band --- UHI intensity --- remote sensing/GIS --- spatial dynamics --- landscape metrics --- urban–rural gradient --- urbanization --- automatic monitoring --- time series --- change detection --- urban planning --- hyperspectral --- cacti --- drone --- climate change --- drought --- water deficit index --- infrared observations --- satellite --- surface temperature --- air temperature --- humidity --- dew point temperature --- land subsidence --- DInSAR --- differential interferograms stacking --- floods --- coastal plain of Tabasco --- crop residue --- fusion --- machine learning algorithm --- reflective and radar bands --- land-cover change --- REDD+ --- Google Earth Engine --- random forest --- landsat --- Togo --- emissivity --- evapotranspiration --- heterogeneity --- Rao’s Q index --- spectral variation hypothesis --- thermal infrared

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This book focuses on the up-to-date studies on the sustainability with changing climate and extremes. The main contributors discussed the changing climate and extreme events, as well as their impacts on natural and human dimension sustainability, including the incorporated social–ecologic and socioeconomic processes. Special attention is given to four main sections: natural disasters in agriculture; urban/rural ecosystem, tourism, and ecosystem service; extreme climate indices, and newly created dataset for climate change.

Research & information: general --- Environmental economics --- trade conflict --- carbon emissions --- import and export trade --- cooperative emission reduction --- meteorological hazards --- risk assessment --- spatial pattern --- population exposure --- Qinghai-Tibet Plateau --- climate change --- slope geohazards --- new geohazard clusters --- extreme cooling events --- Arctic Oscillation --- winter in China --- atmospheric circulation --- GPP --- CMIP6 --- ESM --- STA --- China --- warm days --- cold days --- warm nights --- cold nights --- hot days --- frost days --- compound drought and heatwave events --- complex network --- event synchronization --- atmospheric circulation patterns --- urban agglomeration --- drought --- heat wave --- flood --- GM (1, 1) --- Arctic --- universal thermal climate index (UTCI) --- spatial-temporal changes --- 1979–2019 --- ecosystem services trade-offs --- land-use change --- soil conservation --- carbon storage --- water yield --- precipitation gradient --- Loess Plateau --- climate hazards --- geospatial analysis --- urban adaptation --- risk management --- snow disaster --- risk zoning --- Heilongjiang Province --- precipitation --- model resolutions --- cold region of China --- spatiotemporal distribution --- spatiotemporal variation --- 1961–2019 --- high-resolution and high-quality precipitation data --- independent and non-independent test --- the 0.01° multi-source fusion precipitation product --- extreme precipitation event --- forest types --- NDVI --- AVHRR GIMMS --- temperature range --- precipitation range --- snow cover --- black carbon concentration --- radiative forcing --- northeast China --- high temperature --- mobile phone data --- impact factor --- Zhuhai City --- WRF model --- projection --- short-lived heatwave event --- long-lived heatwave event --- Yangtze River Basin --- central and western Pacific --- thermocline --- yellowfin tuna --- CPUE --- El Niño --- La Niña --- GAM model --- spring soil moisture --- impact mechanism --- Songnen Plain --- Sanjiang Plain --- maize --- diurnal temperature range --- fresh air index --- natural microclimate comfort index --- fresh air–natural microclimate comfort index --- scenic spots --- Fujian province --- extreme climate indices --- temporal and spatial dynamics --- linear trend --- climate abrupt change --- central China --- peanut drought --- Shandong Province --- natural disaster risk assessment principles --- dry-hot wind disaster --- Shandong province --- natural disaster risk assessment principle --- summer maize --- inter- and mixed cropping --- flowering period --- yield --- potato climatic productivity potential --- Inner Mongolia --- effect --- human mobility --- rainfall --- taxi GPS data --- community --- Zhuhai central areas --- citrus --- quality --- future projection --- state-owned forest farms --- human resource allocation --- industrial structure --- coordination and adaptation --- personal structure --- contiguous poverty-stricken areas --- rainstorms and droughts --- direct economic losses --- disaster-affected population --- drought and flood --- vulnerability --- risk prediction --- agroecosystem --- heatwaves --- population exposure change --- global warming --- 1.5 °C warming scenario --- 2.0 °C warming scenario --- n/a --- 1979-2019 --- 1961-2019 --- El Niño --- La Niña --- fresh air-natural microclimate comfort index