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dc.contributor.authorSanti, Emanuele*
dc.contributor.authorPaloscia, Simonetta*
dc.date.accessioned2021-02-11T19:36:23Z
dc.date.available2021-02-11T19:36:23Z
dc.date.issued2019*
dc.date.submitted2019-12-09 11:49:16*
dc.identifier42592*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/53452
dc.description.abstractPast research has comprehensively assessed the capabilities of satellite sensors operating at microwave frequencies, both active (SAR, scatterometers) and passive (radiometers), for the remote sensing of Earth’s surface. Besides brightness temperature and backscattering coefficient, microwave indices, defined as a combination of data collected at different frequencies and polarizations, revealed a good sensitivity to hydrological cycle parameters such as surface soil moisture, vegetation water content, and snow depth and its water equivalent. The differences between microwave backscattering and emission at more frequencies and polarizations have been well established in relation to these parameters, enabling operational retrieval algorithms based on microwave indices to be developed. This Special Issue aims at providing an overview of microwave signal capabilities in estimating the main land parameters of the hydrological cycle, e.g., soil moisture, vegetation water content, and snow water equivalent, on both local and global scales, with a particular focus on the applications of microwave indices.*
dc.languageEnglish*
dc.subjectG1-922*
dc.subjectQ1-390*
dc.subject.classificationthema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geographyen_US
dc.subject.othertime series analysis*
dc.subject.otherpassive microwave soil moisture*
dc.subject.otherSentinel-1 and Sentinel-2*
dc.subject.otherSnow Depth and Snow Water Equivalent*
dc.subject.othersnow cover characteristics*
dc.subject.othervegetation biomass*
dc.subject.otherroughness*
dc.subject.othersea ice*
dc.subject.otherSMOS*
dc.subject.othermicrowave radiometry*
dc.subject.othersoil moisture downscaling*
dc.subject.otherVegetation Biomass*
dc.subject.othervegetation index*
dc.subject.otherTerra MODIS*
dc.subject.otherSentinel-1*
dc.subject.otherMicrowave Indices*
dc.subject.othersoil moisture content*
dc.subject.otherdual-frequency ratios*
dc.subject.otherSMAP*
dc.subject.otherpassive microwave*
dc.subject.otherwater-cloud model*
dc.subject.othersnow*
dc.subject.otherSentinel-1 backscatter*
dc.subject.otherAMSR2*
dc.subject.otherdata fusion*
dc.subject.othermicrowaves*
dc.subject.othermountain region*
dc.subject.otherSAR*
dc.subject.otherstart of season*
dc.subject.othercrops*
dc.subject.otherNDVI*
dc.subject.otherscatterometer*
dc.subject.otherRadarsat-2*
dc.subject.otherpolarization*
dc.subject.othervegetation water content*
dc.subject.otherco-pol ratio*
dc.subject.otheractive microwaves*
dc.subject.othermicrowave indices*
dc.subject.otherharvest*
dc.subject.otherMicrowave Radiometry*
dc.subject.othersoil moisture*
dc.subject.otherSoil Moisture Content*
dc.subject.othersnow correlation length*
dc.subject.otherradiometer*
dc.subject.otherradar*
dc.subject.othersoil scattering*
dc.subject.othervegetation descriptor*
dc.subject.otherscale gap*
dc.subject.othersnow water equivalent*
dc.titleMicrowave Indices from Active and Passive Sensors for Remote Sensing Applications*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03897-821-3*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783038978213*
oapen.relation.isbn9783038978206*
oapen.pages224*
oapen.edition1st*


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