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dc.contributor.editorSymeonakis, Elias
dc.date.accessioned2022-06-21T08:42:01Z
dc.date.available2022-06-21T08:42:01Z
dc.date.issued2022
dc.identifierONIX_20220621_9783036542270_131
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/84553
dc.description.abstractThis 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.otherbfast
dc.subject.otherMann–Kendall
dc.subject.otherSen’s slope
dc.subject.otherEast Africa
dc.subject.otherNDVI
dc.subject.otherbreakpoint analysis
dc.subject.othervegetation trends
dc.subject.othergreening
dc.subject.otherbrowning
dc.subject.otherKenya
dc.subject.otherUganda
dc.subject.othertrend analysis
dc.subject.otherland use
dc.subject.otherland cover
dc.subject.otherspatial heterogeneity
dc.subject.othermining development
dc.subject.othergeographically weighted regression (GWR)
dc.subject.otherMann-Kendall
dc.subject.otherarid and semi-arid areas
dc.subject.othersalinization
dc.subject.otherirrigated systems
dc.subject.otherNiger River basin
dc.subject.othersalinity index
dc.subject.othervegetation index
dc.subject.otherTI-NDVI
dc.subject.otherSentinel-2 images
dc.subject.otherhigh temporal resolution
dc.subject.otherwind erosion modeling
dc.subject.otherRWEQ
dc.subject.otherGEE
dc.subject.othercentral Asia
dc.subject.otherspatial-temporal variation
dc.subject.otherland degradation
dc.subject.otherarchetypes
dc.subject.otherself-organizing maps
dc.subject.otherdrivers
dc.subject.othersavannah
dc.subject.otherNigeria
dc.subject.otherreference levels
dc.subject.otherREDD+
dc.subject.othergreenhouse gas emissions
dc.subject.otherXishuangbanna
dc.subject.othermonitoring and reporting
dc.subject.otherNormalised Difference Vegetation Index (NDVI)
dc.subject.otherVegetation Condition Index (VCI)
dc.subject.otherdrought
dc.subject.otherland use-land cover
dc.subject.otherremote sensing
dc.subject.otherBotswana
dc.subject.otherdeveloping countries
dc.subject.otherGoogle Earth Engine
dc.subject.otherLandsat time series analysis
dc.subject.othersemi-arid areas
dc.subject.othersustainable land management programmes
dc.subject.otherprecipitation
dc.subject.otherbreakpoints and timeseries analysis
dc.subject.otherecosystem structural change
dc.subject.otherBFAST
dc.subject.otherland degradation neutrality
dc.subject.otherSDG
dc.subject.otherland productivity
dc.subject.otherLandsat
dc.subject.othervegetation-precipitation relationship
dc.subject.othersoil organic carbon
dc.subject.otherKobresia pygmaea community
dc.subject.otherunmanned aerial vehicle
dc.subject.otherGaofen satellite
dc.subject.otherspatial distribution
dc.subject.otheraridity index
dc.subject.othersatellite-based aridity index
dc.subject.otherremote sensing index
dc.subject.othersalinized land degradation index (SDI)
dc.subject.otherAmu Darya delta (ADD)
dc.subject.othersatellite imagery
dc.subject.othergully mapping
dc.subject.othermachine learning
dc.subject.otherrandom forest
dc.subject.othersupport vector machines
dc.subject.otherSouth Africa
dc.subject.othersemi-arid environment
dc.subject.othershrub encroachment
dc.subject.otherslangbos
dc.subject.otherEarth observation
dc.subject.othertime series
dc.subject.otherSentinel-1
dc.subject.otherSentinel-2
dc.subject.otherSynthetic Aperture Radar (SAR)
dc.subject.otherSoil Adjusted Vegetation Index (SAVI)
dc.subject.otherKyrgyzstan
dc.subject.otherpastures
dc.subject.otherMODIS
dc.subject.otherland surface phenology
dc.subject.otherdrought impacts
dc.subject.otherdrought adaptation
dc.subject.otherdrought index
dc.subject.othervegetation resilience
dc.subject.otherdrought vulnerability
dc.subject.otherstandardized precipitation evapotranspiration index
dc.subject.otherAVHRR
dc.subject.othern/a
dc.titleLand Degradation Assessment with Earth Observation
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-4228-7
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036542270
oapen.relation.isbn9783036542287
oapen.pages368
oapen.place.publicationBasel


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