LEADER 05846nam 2201513z- 450 001 9910576873503321 005 20231214132859.0 035 $a(CKB)5720000000008440 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84553 035 $a(EXLCZ)995720000000008440 100 $a20202206d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLand Degradation Assessment with Earth Observation 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (368 p.) 311 $a3-0365-4227-2 311 $a3-0365-4228-0 330 $aThis 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. 606 $aResearch & information: general$2bicssc 610 $abfast 610 $aMann-Kendall 610 $aSen's slope 610 $aEast Africa 610 $aNDVI 610 $abreakpoint analysis 610 $avegetation trends 610 $agreening 610 $abrowning 610 $aKenya 610 $aUganda 610 $atrend analysis 610 $aland use 610 $aland cover 610 $aspatial heterogeneity 610 $amining development 610 $ageographically weighted regression (GWR) 610 $aMann-Kendall 610 $aarid and semi-arid areas 610 $asalinization 610 $airrigated systems 610 $aNiger River basin 610 $asalinity index 610 $avegetation index 610 $aTI-NDVI 610 $aSentinel-2 images 610 $ahigh temporal resolution 610 $awind erosion modeling 610 $aRWEQ 610 $aGEE 610 $acentral Asia 610 $aspatial-temporal variation 610 $aland degradation 610 $aarchetypes 610 $aself-organizing maps 610 $adrivers 610 $asavannah 610 $aNigeria 610 $areference levels 610 $aREDD+ 610 $agreenhouse gas emissions 610 $aXishuangbanna 610 $amonitoring and reporting 610 $aNormalised Difference Vegetation Index (NDVI) 610 $aVegetation Condition Index (VCI) 610 $adrought 610 $aland use-land cover 610 $aremote sensing 610 $aBotswana 610 $adeveloping countries 610 $aGoogle Earth Engine 610 $aLandsat time series analysis 610 $asemi-arid areas 610 $asustainable land management programmes 610 $aprecipitation 610 $abreakpoints and timeseries analysis 610 $aecosystem structural change 610 $aBFAST 610 $aland degradation neutrality 610 $aSDG 610 $aland productivity 610 $aLandsat 610 $avegetation-precipitation relationship 610 $asoil organic carbon 610 $aKobresia pygmaea community 610 $aunmanned aerial vehicle 610 $aGaofen satellite 610 $aspatial distribution 610 $aaridity index 610 $asatellite-based aridity index 610 $aremote sensing index 610 $asalinized land degradation index (SDI) 610 $aAmu Darya delta (ADD) 610 $asatellite imagery 610 $agully mapping 610 $amachine learning 610 $arandom forest 610 $asupport vector machines 610 $aSouth Africa 610 $asemi-arid environment 610 $ashrub encroachment 610 $aslangbos 610 $aEarth observation 610 $atime series 610 $aSentinel-1 610 $aSentinel-2 610 $aSynthetic Aperture Radar (SAR) 610 $aSoil Adjusted Vegetation Index (SAVI) 610 $aKyrgyzstan 610 $apastures 610 $aMODIS 610 $aland surface phenology 610 $adrought impacts 610 $adrought adaptation 610 $adrought index 610 $avegetation resilience 610 $adrought vulnerability 610 $astandardized precipitation evapotranspiration index 610 $aAVHRR 615 7$aResearch & information: general 700 $aSymeonakis$b Elias$4edt$01291007 702 $aSymeonakis$b Elias$4oth 906 $aBOOK 912 $a9910576873503321 996 $aLand Degradation Assessment with Earth Observation$93021746 997 $aUNINA