A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems.

Burchard-Levine V, Nieto H, Riaño D, Kustas WP, Migliavacca M, El-Madany TS, Nelson JA, Andreu A, Carrara A, Beringer J, Baldocchi D, Martín MP

Open source

DOI: 10.1111/gcb.16002
Published: 2022 Feb
Container: Global change biology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/gcb.16002,
  title = {A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems.},
  author = {Burchard-Levine V and Nieto H and Riaño D and Kustas WP and Migliavacca M and El-Madany TS and Nelson JA and Andreu A and Carrara A and Beringer J and Baldocchi D and Martín MP},
  year = {2022},
  journal = {Global change biology},
  doi = {10.1111/gcb.16002},
  url = {https://doi.org/10.1111/gcb.16002}
}

RIS

TY  - JOUR
TI  - A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems.
AU  - Burchard-Levine V
AU  - Nieto H
AU  - Riaño D
AU  - Kustas WP
AU  - Migliavacca M
AU  - El-Madany TS
AU  - Nelson JA
AU  - Andreu A
AU  - Carrara A
AU  - Beringer J
AU  - Baldocchi D
AU  - Martín MP
PY  - 2022
JO  - Global change biology
DO  - 10.1111/gcb.16002
UR  - https://doi.org/10.1111/gcb.16002
ER  -

APA

V, B., H, N., D, R., WP, K., M, M., TS, E., JA, N., A, A., A, C., J, B., D, B., & MP, M. (2022). A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems.. Global change biology. https://doi.org/10.1111/gcb.16002

Source records

pubmed · retrieved 2026-09-25T15:17:02.358Z