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dc.contributor.editorPause, Marion
dc.contributor.editorWöhling, Thomas
dc.contributor.editorSchulz, Karsten
dc.contributor.editorJagdhuber, Thomas
dc.contributor.editorSchrön, Martin
dc.date.accessioned2022-02-24T10:38:20Z
dc.date.available2022-02-24T10:38:20Z
dc.date.issued2022
dc.identifierONIX_20220224_9783036529578_137
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/78840
dc.description.abstractRequests for regional soil moisture observations are increasing to parameterize complex hydrological models, to assess the impact of land-use changes, and to develop climate adaption strategies in the agricultural sector. Spatial land-use patterns have an impact on the soil water balance and groundwater recharge. Soil moisture is therefore a key parameter for the long-term monitoring and development of sustainable land-management and landscape design strategies that mitigate regional water scarcity and droughts. For example, the spatial organization of hedges or tree rows related to open land and wind direction avoids soil erosion, limits local evaporation, and increases local soil water storage. Since the early 1980s, satellite missions have been designed to monitor proxies for soil moisture, mainly at the national and global scale, with a relatively coarse pixel resolution and low accuracy. The local effects of weather and climate are very dynamic in space and time. Thus, a strong need exists for more accurate, regional-scale remote sensing products for soil moisture. The transfer of existing, proof-of-concept algorithms to region-specific monitoring frameworks is urgent. This Special Issue provides an overview of current developments on remote sensing-based soil moisture observations that are applicable at a regional scale. The compendium of research papers demonstrates the benefits of concurrently utilizing multi-source remote sensing data and in situ measurements through: - Using additional data and site-specific knowledge; - Combining empirical and physical approaches; - Developing concepts to deal with mixed pixels.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherinstrument development
dc.subject.otherhyperspectral
dc.subject.otherspectroradiometry
dc.subject.otherLiDAR
dc.subject.othersoil
dc.subject.otherregional soil moisture
dc.subject.otherin situ network
dc.subject.otherAMSR2
dc.subject.otherFY3B
dc.subject.otherevaluation
dc.subject.otherEVI
dc.subject.otherSST
dc.subject.otherdisaggregation
dc.subject.othersoil moisture
dc.subject.otherDISPATCH
dc.subject.otherIntermediate spatial resolution
dc.subject.otherSMAP
dc.subject.othergeostationary
dc.subject.othervalidation
dc.subject.otherSEVIRI
dc.subject.otherthermal infrared
dc.subject.otherland surface temperature
dc.subject.otherdownscaling
dc.subject.otheradvanced scatterometer (ASCAT)
dc.subject.othersoil moisture active passive (SMAP)
dc.subject.otherrandom forest
dc.subject.otherlow-cost sensor
dc.subject.otherAMSR-E
dc.subject.otherthe microwave polarization difference index
dc.subject.othersurface soil moisture
dc.subject.otherregional scale
dc.subject.othervegetation traits
dc.subject.othermulti-sensor approach
dc.subject.otherwetland
dc.subject.otherenvironmental monitoring
dc.subject.otherremote sensing
dc.subject.othergeostatistics
dc.subject.othergap-filling
dc.subject.othermesonet
dc.subject.otherESA CCI SM
dc.subject.otherASTER imagery
dc.subject.othersoil moisture content
dc.subject.otherthermal inertia model
dc.subject.otherserial dual-source model
dc.subject.othersurface component temperature
dc.subject.othershadow impact
dc.subject.othermulti-model coupling
dc.subject.otheroptimal solution method
dc.subject.otherESA CCI
dc.subject.otherresidual soil moisture
dc.subject.otherevapotranspiration
dc.subject.othertrend
dc.subject.otherrainfall variability
dc.subject.otherCHIRPS
dc.subject.othertheta probe
dc.subject.otherSentinel-1A
dc.subject.otherNDVI
dc.subject.othermodified Dubois model
dc.subject.otherSentinel-1/2
dc.subject.otherLandsat-8
dc.subject.otherGF-1
dc.subject.othervegetation water content
dc.subject.otherOh
dc.subject.otherDubois
dc.subject.otherIEM
dc.subject.otherWCM
dc.subject.otherSSRT
dc.subject.otherSAR
dc.subject.otherLAI
dc.subject.otherwheat
dc.subject.otherSentinel-1
dc.subject.othersupport vector machine
dc.subject.otherordinary least square regression
dc.subject.othertime series
dc.subject.otherMongolia
dc.subject.otherMODIS
dc.subject.otherrelative soil moisture
dc.subject.otherChinese Loess Plateau
dc.subject.otherATI
dc.subject.otherTVDI
dc.titleRemote Sensing of Regional Soil Moisture
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-2957-8
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036529578
oapen.relation.isbn9783036529561
oapen.pages426
oapen.place.publicationBasel


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