A new method for estimating of evapotranspiration and surface soil moisture from optical and thermal infrared measurements: the simplified triangle-Reference-Cited by-同舟云学术

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A new method for estimating of evapotranspiration and surface soil moisture from optical and thermal infrared measurements: the simplified triangle

Published:2019-04-18 Issue:20 Volume:40 Page:7716-7729
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Carlson Toby N.¹,Petropoulos George P²³

Affiliation:

1. Department of Meteorology and Atmospheric Science, Penn State University, University Park, PA, USA

2. School of Mineral & Resources Engineering, Technical University of Crete, Crete, Greece

3. Department of Soil & Water Resources, Institute of Industrial & Forage Crops, Hellenic Agricultural Organization “Demeter”, Larissa, Greece

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1601288

Reference29 articles.

1. Satellite and ground-based microclimate and hydrologic analyses coupled with a regional urban growth model

2. Mapping soil moisture with the OPtical TRApezoid Model (OPTRAM) based on long-term MODIS observations

3. Surface soil moisture retrievals over partially vegetated areas from the synergy of Sentinel-1 and Landsat 8 data using a modified water-cloud model

4. An Overview of the "Triangle Method" for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery

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1. Development of a new vegetation modulated soil moisture index for the spatial disaggregation of SMAP soil moisture data product;Physics and Chemistry of the Earth, Parts A/B/C;2024-10

2. Extending our understanding on the retrievals of surface energy fluxes and surface soil moisture from the “triangle” technique;Environmental Modelling & Software;2024-10

3. A universal triangle method for evapotranspiration estimation with MODIS products and routine meteorological observations: Algorithm development and global validation;Agricultural Water Management;2024-09

4. The Right Triangle Model: Overcoming the Sparse Data Problem in Thermal/Optical Remote Sensing of Soil Moisture;Remote Sensing;2024-08-31

5. The Unmanned Aerial Vehicle-Based Estimation of Turbulent Heat Fluxes in the Sub-Surface of Urban Forests Using an Improved Semi-Empirical Triangle Method;Remote Sensing;2024-08-01

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