Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data
This paper reviews methods for estimating evaporation from landscapes, regions and larger
geographic extents, with remotely sensed surface temperatures, and highlights uncertainties …
geographic extents, with remotely sensed surface temperatures, and highlights uncertainties …
A review of current methodologies for regional evapotranspiration estimation from remotely sensed data
An overview of the commonly applied evapotranspiration (ET) models using remotely
sensed data is given to provide insight into the estimation of ET on a regional scale from …
sensed data is given to provide insight into the estimation of ET on a regional scale from …
Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes
The quantitative simulation of gross primary production (GPP) at various spatial and
temporal scales has been a major challenge in quantifying the global carbon cycle. We …
temporal scales has been a major challenge in quantifying the global carbon cycle. We …
Global evaluation of four AVHRR–NDVI data sets: Intercomparison and assessment against Landsat imagery
Advanced Very High Resolution Radiometer (AVHRR) data with their long-term (1981–
current) global coverage at frequent intervals provide unique opportunities to explore …
current) global coverage at frequent intervals provide unique opportunities to explore …
An application of the Ts–VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions …
R Tang, ZL Li, B Tang - Remote Sensing of Environment, 2010 - Elsevier
The commonly applied surface temperature–vegetation index (Ts–VI) triangle method is
used to estimate regional evapotranspiration (ET) in arid and semi-arid regions. A practical …
used to estimate regional evapotranspiration (ET) in arid and semi-arid regions. A practical …
A two-source trapezoid model for evapotranspiration (TTME) from satellite imagery
This study develops a Two-source Trapezoid Model for Evapotranspiration (TTME) from
satellite imagery by interpreting the remotely sensed fractional vegetation cover (fc) …
satellite imagery by interpreting the remotely sensed fractional vegetation cover (fc) …
Integrating remote sensing and ground methods to estimate evapotranspiration
Evapotranspiraton (ET) is the second largest term in the terrestrial water budget after
precipitation, and ET is expected to increase with global warming. ET studies are relevant to …
precipitation, and ET is expected to increase with global warming. ET studies are relevant to …
A review of Ts/VI remote sensing based methods for the retrieval of land surface energy fluxes and soil surface moisture
G Petropoulos, TN Carlson… - Progress in Physical …, 2009 - journals.sagepub.com
Imagery from remote sensing systems, often combined with ancillary ground information, is
able to provide repetitive, synoptic views of key parameters characterizing land surface …
able to provide repetitive, synoptic views of key parameters characterizing land surface …
Estimation of evaporative fraction from a combination of day and night land surface temperatures and NDVI: A new method to determine the Priestley–Taylor …
Satellite remote sensing is a promising technique to estimate global or regional
evapotranspiration (ET) or evaporative fraction (EF) of the surface total net radiation budget …
evapotranspiration (ET) or evaporative fraction (EF) of the surface total net radiation budget …
Evaluating gross primary productivity over 9 ChinaFlux sites based on random forest regression models, remote sensing, and eddy covariance data
X Chang, Y **ng, W Gong, C Yang, Z Guo… - Science of The Total …, 2023 - Elsevier
Abstract Accurate modeling of Gross Primary Productivity (GPP) in terrestrial ecosystems is a
major challenge in quantifying the carbon cycle. Many light use efficiency (LUE) models …
major challenge in quantifying the carbon cycle. Many light use efficiency (LUE) models …