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dc.contributor.authorGowda, Prasanna*
dc.contributor.authorWagle, Pradeep*
dc.date.accessioned2021-02-12T01:47:56Z
dc.date.available2021-02-12T01:47:56Z
dc.date.issued2019*
dc.date.submitted2019-12-09 11:49:15*
dc.identifier42570*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/58175
dc.description.abstractEvapotranspiration (ET) is a critical component of the water and energy balances, and the number of remote sensing-based ET products and estimation methods has increased in recent years. Various aspects of remote sensing of ET are reported in the 11 papers published in this book. The major research areas covered by this book include inter-comparison and performance evaluation of widely used one- and two-source energy balance models, a new dual-source model (Soil Plant Atmosphere and Remote Sensing Evapotranspiration, SPARSE), and a process-based model (ETMonitor); assessment of multi-source (e.g., remote sensing, reanalysis, and land surface model) ET products; development or improvement of data fusion frameworks to predict continuous daily ET at a high spatial resolution (field-scale or 30 m) by fusing the advanced spaceborne thermal emission reflectance radiometer (ASTER), the moderate resolution imaging spectroradiometer (MODIS), and Landsat data; and investigating uncertainties in ET estimates using an ET ensemble composed of several land surface models and diagnostic datasets. The effects of the differences between ET products on water resources and ecosystem management were also investigated. More accurate ET estimates and improved understanding of remotely sensed ET products are crucial for maximizing crop productivity while minimizing water losses and management costs.*
dc.languageEnglish*
dc.subjectTP248.13-248.65*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnologyen_US
dc.subject.otherEddy-covariance*
dc.subject.othersurface energy balance model*
dc.subject.otherevapotranspiration*
dc.subject.otherOklahoma Mesonet*
dc.subject.otherChi river basin*
dc.subject.otherSADFAET*
dc.subject.othera stratification method*
dc.subject.otherecosystem management*
dc.subject.otherprocess-based model*
dc.subject.otherheterogeneous conditions*
dc.subject.otherland surface temperature*
dc.subject.otherETMonitor*
dc.subject.othermodel*
dc.subject.otherlatent heat flux*
dc.subject.othermulti-source*
dc.subject.otherwater resources management*
dc.subject.otherremote sensing*
dc.subject.otherET*
dc.subject.otherfusion*
dc.subject.otherGoogle Earth Engine*
dc.subject.otherwater stress*
dc.subject.othercomponent temperature decomposition*
dc.subject.otherdata fusion*
dc.subject.otherMun river basin*
dc.subject.otherMurrumbidgee River catchment*
dc.subject.otherremote-sensing*
dc.subject.otherThailand*
dc.subject.otheruncertainty*
dc.subject.otherfield-scale*
dc.subject.otherpartition*
dc.subject.otherland surface model*
dc.subject.othertwo-source energy balance model*
dc.subject.otherSurface Energy Balance System*
dc.subject.otherChina*
dc.subject.otherevapotranspiration partitioning*
dc.subject.otheryield*
dc.subject.othercalibration*
dc.subject.otherunmixing-based method*
dc.subject.otherLandsat 8*
dc.subject.othereddy covariance observations*
dc.subject.otherMETRIC*
dc.subject.otherMODIS*
dc.subject.othersurface energy balance algorithm for land (SEBAL)*
dc.subject.otherWest Africa*
dc.subject.otherMPDI-integrated SEBS*
dc.subject.otherSTARFM*
dc.subject.othermulti-source satellite data*
dc.titleRemote Sensing of Evapotranspiration (ET)*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03921-603-1*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783039216031*
oapen.relation.isbn9783039216024*
oapen.pages240*
oapen.edition1st*


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