(Q57710783)

2

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L. Zhang

3

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R. Leuning

4

0 references

H. A. Cleugh

Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration

5

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publication date

October 2008

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published in

Water Resources Research

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volume

44

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issue

10

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cites work

1 reference

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Regional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data. Application to Zealand, Denmark

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A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman-Monteith equation

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Evapotranspiration on western U.S. rivers estimated using the Enhanced Vegetation Index from MODIS and data from eddy covariance and Bowen ratio flux towers

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Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration

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An integrated algorithm for estimating regional latent heat flux and daily evapotranspiration

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A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation

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Assessment of the MODIS LAI product for Australian ecosystems

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On the importance of including vegetation dynamics in Budyko's hydrological model

21 January 2018

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Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors

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Estimating one-time-of-day meteorological data from standard daily data as inputs to thermal remote sensing based energy balance models

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Using covariates to spatially interpolate moisture availability in the Murray–Darling Basin

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Developing a decision support tool for China's re-vegetation program: Simulating regional impacts of afforestation on average annual streamflow in the Loess Plateau

21 January 2018

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Modelling the impact of afforestation on average annual streamflow in the Loess Plateau, China

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Estimation and comparison of evapotranspiration from MODIS and AVHRR sensors for clear sky days over the Southern Great Plains

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inferred from DOI database lookup

7 January 2021

based on heuristic

Surface energy balance estimates at local and regional scales using optical remote sensing from an aircraft platform and atmospheric data collected over semiarid rangelands

1 reference

https://api.crossref.org/works/10.1029%2F2007WR006563