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Advances in the Remote Sensing of Terrestrial Evaporation
Characterizing the terrestrial carbon, water and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial evaporation across multiple space and time scales has been an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837446/ https://www.ncbi.nlm.nih.gov/pubmed/33505712 http://dx.doi.org/10.3390/rs11091138 |
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author | McCabe, Matthew F Miralles, Diego Holmes, Thomas R.H. Fisher, Joshua B |
author_facet | McCabe, Matthew F Miralles, Diego Holmes, Thomas R.H. Fisher, Joshua B |
author_sort | McCabe, Matthew F |
collection | PubMed |
description | Characterizing the terrestrial carbon, water and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial evaporation across multiple space and time scales has been an area of focused research for many decades. Much of this activity has been supported by developments in satellite remote sensing, which have been leveraged to deliver new process insights, model development and methodological improvements. In this Special Issue, published contributions explored a range of research topics directed towards the enhanced estimation of terrestrial evaporation. Here we summarize these cutting-edge efforts and provide an overview of some of the state-of-the-art approaches for retrieving this key variable. Some perspectives on outstanding challenges, issues, and opportunities are also presented. |
format | Online Article Text |
id | pubmed-7837446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-78374462021-01-26 Advances in the Remote Sensing of Terrestrial Evaporation McCabe, Matthew F Miralles, Diego Holmes, Thomas R.H. Fisher, Joshua B Remote Sens (Basel) Article Characterizing the terrestrial carbon, water and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial evaporation across multiple space and time scales has been an area of focused research for many decades. Much of this activity has been supported by developments in satellite remote sensing, which have been leveraged to deliver new process insights, model development and methodological improvements. In this Special Issue, published contributions explored a range of research topics directed towards the enhanced estimation of terrestrial evaporation. Here we summarize these cutting-edge efforts and provide an overview of some of the state-of-the-art approaches for retrieving this key variable. Some perspectives on outstanding challenges, issues, and opportunities are also presented. 2019-05-13 2019-05-01 /pmc/articles/PMC7837446/ /pubmed/33505712 http://dx.doi.org/10.3390/rs11091138 Text en http://creativecommons.org/licenses/by/4.0/ Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article McCabe, Matthew F Miralles, Diego Holmes, Thomas R.H. Fisher, Joshua B Advances in the Remote Sensing of Terrestrial Evaporation |
title | Advances in the Remote Sensing of Terrestrial Evaporation |
title_full | Advances in the Remote Sensing of Terrestrial Evaporation |
title_fullStr | Advances in the Remote Sensing of Terrestrial Evaporation |
title_full_unstemmed | Advances in the Remote Sensing of Terrestrial Evaporation |
title_short | Advances in the Remote Sensing of Terrestrial Evaporation |
title_sort | advances in the remote sensing of terrestrial evaporation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837446/ https://www.ncbi.nlm.nih.gov/pubmed/33505712 http://dx.doi.org/10.3390/rs11091138 |
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