Estimating the Water Deficit Index of a Mediterranean Holm Oak Forest From Landsat Optical/Thermal Data: A Phenomenological Correction for Trees Casting Shadow Effects-Reference-Cited by-同舟云学术

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Estimating the Water Deficit Index of a Mediterranean Holm Oak Forest From Landsat Optical/Thermal Data: A Phenomenological Correction for Trees Casting Shadow Effects

Published:2023 Issue: Volume:16 Page:5867-5880
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Penot Victor¹^ORCID,Merlin Olivier¹^ORCID

Affiliation:

1. Centre Etude Spatial de la BIOsphére, Toulouse, France

Funder

Horizon 2020 ACCWA project

Marie Sklodowska-Curie research and innovation staff exchange

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10158795.pdf?arnumber=10158795

Reference74 articles.

1. Drought acclimation of Quercus ilex leaves improves tolerance to moderate drought but not resistance to severe water stress

2. An evapotranspiration model driven by remote sensing data for assessing groundwater resource in karst watershed

3. Increasing forest disturbances in Europe and their impact on carbon storage

4. Review on Effect of Climate Change on Forest Ecosystem

5. Effects of global warming on forests

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved Fire Severity Prediction Using Pre-Fire Remote Sensing and Meteorological Time Series: Application to the French Mediterranean Area;2024

2. Improved Fire Severity Prediction Using Pre-Fire Remote Sensing and Meteorological Time Series: Application to the French Mediterranean Area;2024

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