An NDVI-Based Statistical ET Downscaling Method

An Improved Method for Deriving Daily Evapotranspiration Estimates From Satellite Estimates on Cloud-Free Days

(2016) Bingfang Wu et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A method for sensible heat flux model parameterization based on radiometric surface temperature and environmental factors without involving the parameter KB−1

(2016) Qifeng Zhuang et al.   International Journal of Applied Earth Observation and Geoinformation

Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches

(2016) Yinghai Ke et al.   Remote Sensing

Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China

(2015) Jing Zhao et al.   Remote Sensing

A Method for Deriving the Boundary Layer Mixing Height from MODIS Atmospheric Profile Data

(2015) Xueliang Feng et al.   Atmosphere

Cross-Calibration of HJ-1/CCD Over a Desert Site Using Landsat ETM $+$ Imagery and ASTER GDEM Product

(2014) Bo Zhong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Object-based approach to national land cover mapping using HJ satellite imagery

(2014) Lei Zhang et al.   Journal of Applied Remote Sensing

A method to estimate diurnal surface soil heat flux from MODIS data for a sparse vegetation and bare soil

(2014) Weiwei Zhu et al.   JOURNAL OF HYDROLOGY

On the Downscaling of Actual Evapotranspiration Maps Based on Combination of MODIS and Landsat-Based Actual Evapotranspiration Estimates

(2014) Ramesh Singh et al.   Remote Sensing

High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors

(2014) Hamideh Nouri et al.   Remote Sensing

Validation of Global Evapotranspiration Product (MOD16) using Flux Tower Data in the African Savanna, South Africa

(2014) Abel Ramoelo et al.   Remote Sensing

Estimation of evapotranspiration and its partition based on an extended three-temperature model and MODIS products

(2013) Fei Tian et al.   JOURNAL OF HYDROLOGY

Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX’08 field campaign

(2012) Martha C. Anderson et al.   ADVANCES IN WATER RESOURCES

Validation of remotely sensed evapotranspiration over the Hai River Basin, China

(2012) Zhenzhen Jia et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Validation of ETWatch using field measurements at diverse landscapes: A case study in Hai Basin of China

(2012) Bingfang Wu et al.   JOURNAL OF HYDROLOGY

Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia

(2012) Hyun Woo Kim et al.   KSCE Journal of Civil Engineering

Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources

(2012) Martha C. Anderson et al.   REMOTE SENSING OF ENVIRONMENT

Down-scaling of SEBAL derived evapotranspiration maps from MODIS (250 m) to Landsat (30 m) scales

(2011) Sung-Ho Hong et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Improvements to a MODIS global terrestrial evapotranspiration algorithm

(2011) Qiaozhen Mu et al.   REMOTE SENSING OF ENVIRONMENT

Estimation and Validation of Land Surface Evaporation Using Remote Sensing and Meteorological Data in North China

(2010) Jun Xiong et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Effective use of water (EUW) and not water-use efficiency (WUE) is the target of crop yield improvement under drought stress

(2009) A. Blum   FIELD CROPS RESEARCH

Downscaling and Forecasting of Evapotranspiration Using a Synthetic Model of Wavelets and Support Vector Machines

(2008) Y.H. Kaheil et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Daily evapotranspiration estimates from extrapolating instantaneous airborne remote sensing ET values

(2008) José L. Chávez et al.   IRRIGATION SCIENCE

Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape

(2008) Edward Glenn et al.   SENSORS