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Remote Sensing of Evapotranspiration (ET)



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Autore: Gowda Prasanna Visualizza persona
Titolo: Remote Sensing of Evapotranspiration (ET) Visualizza cluster
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica: 1 electronic resource (240 p.)
Soggetto non controllato: Eddy-covariance
surface energy balance model
evapotranspiration
Oklahoma Mesonet
Chi river basin
SADFAET
a stratification method
ecosystem management
process-based model
heterogeneous conditions
land surface temperature
ETMonitor
model
latent heat flux
multi-source
water resources management
remote sensing
ET
fusion
Google Earth Engine
water stress
component temperature decomposition
data fusion
Mun river basin
Murrumbidgee River catchment
remote-sensing
Thailand
uncertainty
field-scale
partition
land surface model
two-source energy balance model
Surface Energy Balance System
China
evapotranspiration partitioning
yield
calibration
unmixing-based method
Landsat 8
eddy covariance observations
METRIC
MODIS
surface energy balance algorithm for land (SEBAL)
West Africa
MPDI-integrated SEBS
STARFM
multi-source satellite data
Persona (resp. second.): WaglePradeep
Sommario/riassunto: Evapotranspiration (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.
Altri titoli varianti: Remote Sensing of Evapotranspiration
Titolo autorizzato: Remote Sensing of Evapotranspiration (ET)  Visualizza cluster
ISBN: 3-03921-603-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910367754003321
Lo trovi qui: Univ. Federico II
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