TY - BOOK TI - Land Degradation Assessment with Earth Observation SN - 9783036542270 PY - 2022/// CY - Basel PB - MDPI - Multidisciplinary Digital Publishing Institute KW - Research & information: general KW - bicssc KW - Amu Darya delta (ADD) KW - archetypes KW - arid and semi-arid areas KW - aridity index KW - AVHRR KW - bfast KW - BFAST KW - Botswana KW - breakpoint analysis KW - breakpoints and timeseries analysis KW - browning KW - central Asia KW - developing countries KW - drivers KW - drought KW - drought adaptation KW - drought impacts KW - drought index KW - drought vulnerability KW - Earth observation KW - East Africa KW - ecosystem structural change KW - Gaofen satellite KW - GEE KW - geographically weighted regression (GWR) KW - Google Earth Engine KW - greenhouse gas emissions KW - greening KW - gully mapping KW - high temporal resolution KW - irrigated systems KW - Kenya KW - Kobresia pygmaea community KW - Kyrgyzstan KW - land cover KW - land degradation KW - land degradation neutrality KW - land productivity KW - land surface phenology KW - land use KW - land use-land cover KW - Landsat KW - Landsat time series analysis KW - machine learning KW - Mann-Kendall KW - mining development KW - MODIS KW - monitoring and reporting KW - n/a KW - NDVI KW - Niger River basin KW - Nigeria KW - Normalised Difference Vegetation Index (NDVI) KW - pastures KW - precipitation KW - random forest KW - REDD+ KW - reference levels KW - remote sensing KW - remote sensing index KW - RWEQ KW - salinity index KW - salinization KW - salinized land degradation index (SDI) KW - satellite imagery KW - satellite-based aridity index KW - savannah KW - SDG KW - self-organizing maps KW - semi-arid areas KW - semi-arid environment KW - Sen's slope KW - Sentinel-1 KW - Sentinel-2 KW - Sentinel-2 images KW - shrub encroachment KW - slangbos KW - Soil Adjusted Vegetation Index (SAVI) KW - soil organic carbon KW - South Africa KW - spatial distribution KW - spatial heterogeneity KW - spatial-temporal variation KW - standardized precipitation evapotranspiration index KW - support vector machines KW - sustainable land management programmes KW - Synthetic Aperture Radar (SAR) KW - TI-NDVI KW - time series KW - trend analysis KW - Uganda KW - unmanned aerial vehicle KW - Vegetation Condition Index (VCI) KW - vegetation index KW - vegetation resilience KW - vegetation trends KW - vegetation-precipitation relationship KW - wind erosion modeling KW - Xishuangbanna N1 - Open Access N2 - This Special Issue (SI) on "Land Degradation Assessment with Earth Observation" comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps-some of which have been identified in this SI-and produce highly accurate and relevant land-degradation assessment and monitoring tools UR - https://directory.doabooks.org/handle/20.500.12854/84553 UR - https://mdpi.com/books/pdfview/book/5537 ER -