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dc.contributor.editorVenafra, Sara
dc.contributor.editorSerio, Carmine
dc.contributor.editorMasiello, Guido
dc.date.accessioned2023-01-05T12:32:14Z
dc.date.available2023-01-05T12:32:14Z
dc.date.issued2022
dc.identifierONIX_20230105_9783036559292_6
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/95777
dc.description.abstractThis book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economicsen_US
dc.subject.otherSentinel-2
dc.subject.otherspectral bands
dc.subject.otherLAI
dc.subject.othervegetation indices
dc.subject.otherSentinel-1
dc.subject.otherSAR
dc.subject.otherRVI
dc.subject.otherincidence angle
dc.subject.othercrop coefficient
dc.subject.otherleaf area index
dc.subject.otherurban heat island
dc.subject.otherUHI regional impacts
dc.subject.othernon-urban areas
dc.subject.otherremote sensing
dc.subject.otherthermal band
dc.subject.otherUHI intensity
dc.subject.otherremote sensing/GIS
dc.subject.otherspatial dynamics
dc.subject.otherlandscape metrics
dc.subject.otherurban–rural gradient
dc.subject.otherurbanization
dc.subject.otherautomatic monitoring
dc.subject.othertime series
dc.subject.otherchange detection
dc.subject.otherurban planning
dc.subject.otherhyperspectral
dc.subject.othercacti
dc.subject.otherdrone
dc.subject.otherclimate change
dc.subject.otherdrought
dc.subject.otherwater deficit index
dc.subject.otherinfrared observations
dc.subject.othersatellite
dc.subject.othersurface temperature
dc.subject.otherair temperature
dc.subject.otherhumidity
dc.subject.otherdew point temperature
dc.subject.otherland subsidence
dc.subject.otherDInSAR
dc.subject.otherdifferential interferograms stacking
dc.subject.otherfloods
dc.subject.othercoastal plain of Tabasco
dc.subject.othercrop residue
dc.subject.otherfusion
dc.subject.othermachine learning algorithm
dc.subject.otherreflective and radar bands
dc.subject.otherland-cover change
dc.subject.otherREDD+
dc.subject.otherGoogle Earth Engine
dc.subject.otherrandom forest
dc.subject.otherlandsat
dc.subject.otherTogo
dc.subject.otheremissivity
dc.subject.otherevapotranspiration
dc.subject.otherheterogeneity
dc.subject.otherRao’s Q index
dc.subject.otherspectral variation hypothesis
dc.subject.otherthermal infrared
dc.titleLand Surface Monitoring Based on Satellite Imagery
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-5930-8
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036559292
oapen.relation.isbn9783036559308
oapen.pages232
oapen.place.publicationBasel


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