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Soil erosion by wind is significant to Earth systems and human health. There is a strong interest in understanding the factors and processes of soil erosion by wind as well as in developing and applying methods to control dust emission from soils and to stabilize active sands. The Special Issue contains information on applications of natural and synthetic materials to reduce soil erosion, development of materials and methods, experimental methods and modeling, impacts on the soil quality and the environments, and quantification of the efficiency in dust control and sand stabilization applications.

Research & information: general --- wind erosion --- dust --- suppressants --- PM10 --- wind tunnel --- lignin --- resin --- bitumen --- PVA --- brine --- direct shear test --- post-harvest waste --- Chinese Loess Plateau --- optimal dosage --- prevailing wind --- sand transport --- Hobq Desert --- Yellow River --- dune stabilization --- restoration --- coastal dune --- vegetation removal --- multi-taxa --- biodiversity --- LTER --- temporal dynamics --- shrub encroachment --- loess --- metakaolin --- dust control --- geopolymer --- soil erosion --- global carbon budget --- soil organic carbon erosion --- deposition --- gaseous emissions --- enrichment ratio --- soil depletion --- preferential removal --- microbial-induced calcite precipitation --- desert soil --- biostimulation --- erosion mitigation --- surface shear stress --- isolated dune --- bridge --- aeolian processes --- arid areas --- dust emission --- dust sources --- environmental pollution --- infrastructures --- human activities --- particle size distribution --- polymers --- sand dune --- soil quality

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Soil erosion by wind is significant to Earth systems and human health. There is a strong interest in understanding the factors and processes of soil erosion by wind as well as in developing and applying methods to control dust emission from soils and to stabilize active sands. The Special Issue contains information on applications of natural and synthetic materials to reduce soil erosion, development of materials and methods, experimental methods and modeling, impacts on the soil quality and the environments, and quantification of the efficiency in dust control and sand stabilization applications.

Research & information: general --- wind erosion --- dust --- suppressants --- PM10 --- wind tunnel --- lignin --- resin --- bitumen --- PVA --- brine --- direct shear test --- post-harvest waste --- Chinese Loess Plateau --- optimal dosage --- prevailing wind --- sand transport --- Hobq Desert --- Yellow River --- dune stabilization --- restoration --- coastal dune --- vegetation removal --- multi-taxa --- biodiversity --- LTER --- temporal dynamics --- shrub encroachment --- loess --- metakaolin --- dust control --- geopolymer --- soil erosion --- global carbon budget --- soil organic carbon erosion --- deposition --- gaseous emissions --- enrichment ratio --- soil depletion --- preferential removal --- microbial-induced calcite precipitation --- desert soil --- biostimulation --- erosion mitigation --- surface shear stress --- isolated dune --- bridge --- aeolian processes --- arid areas --- dust emission --- dust sources --- environmental pollution --- infrastructures --- human activities --- particle size distribution --- polymers --- sand dune --- soil quality

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Forest-steppes occupy a wide zone between Eurasian closed canopy forests and open steppes and feature a mosaic of woody and herbaceous vegetation. Due to the occurrence of structurally, compositionally, and environmentally strongly different habitats in close proximity, high spatial heterogeneity is one of the key characteristics of forest-steppe ecosystems. This volume presents ten contributions examining forest-steppe heterogeneity and its effects on environmental factors, plant communities, and animals.

carbon cycling --- natural stable isotope abundance --- nitrogen cycling --- soil organic matter --- temperate grassland --- drought tolerance --- forest–steppe ecotone --- hydraulic strategy --- hydraulic trait --- interspecific association --- interspecific relationships --- species co-occurrence --- semiarid forests --- duration curve --- forest steppe --- sensor network --- spatio-temporal microclimate pattern --- temperature–humidity data logger --- vapour pressure deficit --- pollen analysis --- forest belt --- forest-steppe ecotone --- position migration --- moisture change --- shrub encroachment --- spatial pattern --- temperate savanna --- ecosystem degradation --- sandy grasslands --- Danube-Tisza Interfluve --- morphotaxonomy --- abundance --- community composition --- decomposition --- Shannon diversity --- ecosystem service --- Geotrupidae --- grassland --- indicator species --- land use --- Scarabaeidae --- species richness --- arthropod predation --- connectivity --- dummy caterpillar --- ecosystem function --- edge effect --- forest-steppe --- fragment size --- kurgan --- landscape-scale --- seed predation --- Festuca vaginata --- Festuca pseudovaginata --- Festuca wagneri --- ecological values --- pedological analysis --- diversity --- forest-steppes --- sandy grassland --- grazing-mowing --- NDVI --- Sentinel-2A

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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.

Research & information: general --- bfast --- Mann–Kendall --- Sen’s slope --- East Africa --- NDVI --- breakpoint analysis --- vegetation trends --- greening --- browning --- Kenya --- Uganda --- trend analysis --- land use --- land cover --- spatial heterogeneity --- mining development --- geographically weighted regression (GWR) --- Mann-Kendall --- arid and semi-arid areas --- salinization --- irrigated systems --- Niger River basin --- salinity index --- vegetation index --- TI-NDVI --- Sentinel-2 images --- high temporal resolution --- wind erosion modeling --- RWEQ --- GEE --- central Asia --- spatial-temporal variation --- land degradation --- archetypes --- self-organizing maps --- drivers --- savannah --- Nigeria --- reference levels --- REDD+ --- greenhouse gas emissions --- Xishuangbanna --- monitoring and reporting --- Normalised Difference Vegetation Index (NDVI) --- Vegetation Condition Index (VCI) --- drought --- land use-land cover --- remote sensing --- Botswana --- developing countries --- Google Earth Engine --- Landsat time series analysis --- semi-arid areas --- sustainable land management programmes --- precipitation --- breakpoints and timeseries analysis --- ecosystem structural change --- BFAST --- land degradation neutrality --- SDG --- land productivity --- Landsat --- vegetation-precipitation relationship --- soil organic carbon --- Kobresia pygmaea community --- unmanned aerial vehicle --- Gaofen satellite --- spatial distribution --- aridity index --- satellite-based aridity index --- remote sensing index --- salinized land degradation index (SDI) --- Amu Darya delta (ADD) --- satellite imagery --- gully mapping --- machine learning --- random forest --- support vector machines --- South Africa --- semi-arid environment --- shrub encroachment --- slangbos --- Earth observation --- time series --- Sentinel-1 --- Sentinel-2 --- Synthetic Aperture Radar (SAR) --- Soil Adjusted Vegetation Index (SAVI) --- Kyrgyzstan --- pastures --- MODIS --- land surface phenology --- drought impacts --- drought adaptation --- drought index --- vegetation resilience --- drought vulnerability --- standardized precipitation evapotranspiration index --- AVHRR --- n/a --- Sen's slope

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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.

Research & information: general --- bfast --- Mann-Kendall --- Sen's slope --- East Africa --- NDVI --- breakpoint analysis --- vegetation trends --- greening --- browning --- Kenya --- Uganda --- trend analysis --- land use --- land cover --- spatial heterogeneity --- mining development --- geographically weighted regression (GWR) --- arid and semi-arid areas --- salinization --- irrigated systems --- Niger River basin --- salinity index --- vegetation index --- TI-NDVI --- Sentinel-2 images --- high temporal resolution --- wind erosion modeling --- RWEQ --- GEE --- central Asia --- spatial-temporal variation --- land degradation --- archetypes --- self-organizing maps --- drivers --- savannah --- Nigeria --- reference levels --- REDD+ --- greenhouse gas emissions --- Xishuangbanna --- monitoring and reporting --- Normalised Difference Vegetation Index (NDVI) --- Vegetation Condition Index (VCI) --- drought --- land use-land cover --- remote sensing --- Botswana --- developing countries --- Google Earth Engine --- Landsat time series analysis --- semi-arid areas --- sustainable land management programmes --- precipitation --- breakpoints and timeseries analysis --- ecosystem structural change --- BFAST --- land degradation neutrality --- SDG --- land productivity --- Landsat --- vegetation-precipitation relationship --- soil organic carbon --- Kobresia pygmaea community --- unmanned aerial vehicle --- Gaofen satellite --- spatial distribution --- aridity index --- satellite-based aridity index --- remote sensing index --- salinized land degradation index (SDI) --- Amu Darya delta (ADD) --- satellite imagery --- gully mapping --- machine learning --- random forest --- support vector machines --- South Africa --- semi-arid environment --- shrub encroachment --- slangbos --- Earth observation --- time series --- Sentinel-1 --- Sentinel-2 --- Synthetic Aperture Radar (SAR) --- Soil Adjusted Vegetation Index (SAVI) --- Kyrgyzstan --- pastures --- MODIS --- land surface phenology --- drought impacts --- drought adaptation --- drought index --- vegetation resilience --- drought vulnerability --- standardized precipitation evapotranspiration index --- AVHRR