05846nam 2201513z- 450 991057687350332120231214132859.0(CKB)5720000000008440(oapen)https://directory.doabooks.org/handle/20.500.12854/84553(EXLCZ)99572000000000844020202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierLand Degradation Assessment with Earth ObservationBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (368 p.)3-0365-4227-2 3-0365-4228-0 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: generalbicsscbfastMann-KendallSen's slopeEast AfricaNDVIbreakpoint analysisvegetation trendsgreeningbrowningKenyaUgandatrend analysisland useland coverspatial heterogeneitymining developmentgeographically weighted regression (GWR)Mann-Kendallarid and semi-arid areassalinizationirrigated systemsNiger River basinsalinity indexvegetation indexTI-NDVISentinel-2 imageshigh temporal resolutionwind erosion modelingRWEQGEEcentral Asiaspatial-temporal variationland degradationarchetypesself-organizing mapsdriverssavannahNigeriareference levelsREDD+greenhouse gas emissionsXishuangbannamonitoring and reportingNormalised Difference Vegetation Index (NDVI)Vegetation Condition Index (VCI)droughtland use-land coverremote sensingBotswanadeveloping countriesGoogle Earth EngineLandsat time series analysissemi-arid areassustainable land management programmesprecipitationbreakpoints and timeseries analysisecosystem structural changeBFASTland degradation neutralitySDGland productivityLandsatvegetation-precipitation relationshipsoil organic carbonKobresia pygmaea communityunmanned aerial vehicleGaofen satellitespatial distributionaridity indexsatellite-based aridity indexremote sensing indexsalinized land degradation index (SDI)Amu Darya delta (ADD)satellite imagerygully mappingmachine learningrandom forestsupport vector machinesSouth Africasemi-arid environmentshrub encroachmentslangbosEarth observationtime seriesSentinel-1Sentinel-2Synthetic Aperture Radar (SAR)Soil Adjusted Vegetation Index (SAVI)KyrgyzstanpasturesMODISland surface phenologydrought impactsdrought adaptationdrought indexvegetation resiliencedrought vulnerabilitystandardized precipitation evapotranspiration indexAVHRRResearch & information: generalSymeonakis Eliasedt1291007Symeonakis EliasothBOOK9910576873503321Land Degradation Assessment with Earth Observation3021746UNINA