Cargando…
CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions
Earth observation has traditionally required a compromise in data collection. That is, one could sense the Earth with high spatial resolution occasionally; or with lower spatial fidelity regularly. For many applications, both frequency and detail are required. Precision agriculture is one such examp...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190154/ https://www.ncbi.nlm.nih.gov/pubmed/34108564 http://dx.doi.org/10.1038/s41598-021-91646-w |
_version_ | 1783705636362518528 |
---|---|
author | Aragon, Bruno Ziliani, Matteo G. Houborg, Rasmus Franz, Trenton E. McCabe, Matthew F. |
author_facet | Aragon, Bruno Ziliani, Matteo G. Houborg, Rasmus Franz, Trenton E. McCabe, Matthew F. |
author_sort | Aragon, Bruno |
collection | PubMed |
description | Earth observation has traditionally required a compromise in data collection. That is, one could sense the Earth with high spatial resolution occasionally; or with lower spatial fidelity regularly. For many applications, both frequency and detail are required. Precision agriculture is one such example, with sub-10 m spatial, and daily or sub-daily retrieval representing a key goal. Towards this objective, we produced the first cloud-free 3 m daily evaporation product ever retrieved from space, leveraging recently launched nano-satellite constellations to showcase this emerging potential. Focusing on three agricultural fields located in Nebraska, USA, high-resolution crop water use estimates are delivered via CubeSat-based evaporation modeling. Results indicate good model agreement (r(2) of 0.86–0.89; mean absolute error between 0.06 and 0.08 mm/h) when evaluated against corrected flux tower data. CubeSat technologies are revolutionizing Earth observation, delivering novel insights and new agricultural informatics that will enhance food and water security efforts, and enable rapid and informed in-field decision making. |
format | Online Article Text |
id | pubmed-8190154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81901542021-06-10 CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions Aragon, Bruno Ziliani, Matteo G. Houborg, Rasmus Franz, Trenton E. McCabe, Matthew F. Sci Rep Article Earth observation has traditionally required a compromise in data collection. That is, one could sense the Earth with high spatial resolution occasionally; or with lower spatial fidelity regularly. For many applications, both frequency and detail are required. Precision agriculture is one such example, with sub-10 m spatial, and daily or sub-daily retrieval representing a key goal. Towards this objective, we produced the first cloud-free 3 m daily evaporation product ever retrieved from space, leveraging recently launched nano-satellite constellations to showcase this emerging potential. Focusing on three agricultural fields located in Nebraska, USA, high-resolution crop water use estimates are delivered via CubeSat-based evaporation modeling. Results indicate good model agreement (r(2) of 0.86–0.89; mean absolute error between 0.06 and 0.08 mm/h) when evaluated against corrected flux tower data. CubeSat technologies are revolutionizing Earth observation, delivering novel insights and new agricultural informatics that will enhance food and water security efforts, and enable rapid and informed in-field decision making. Nature Publishing Group UK 2021-06-09 /pmc/articles/PMC8190154/ /pubmed/34108564 http://dx.doi.org/10.1038/s41598-021-91646-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Aragon, Bruno Ziliani, Matteo G. Houborg, Rasmus Franz, Trenton E. McCabe, Matthew F. CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions |
title | CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions |
title_full | CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions |
title_fullStr | CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions |
title_full_unstemmed | CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions |
title_short | CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions |
title_sort | cubesats deliver new insights into agricultural water use at daily and 3 m resolutions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190154/ https://www.ncbi.nlm.nih.gov/pubmed/34108564 http://dx.doi.org/10.1038/s41598-021-91646-w |
work_keys_str_mv | AT aragonbruno cubesatsdelivernewinsightsintoagriculturalwateruseatdailyand3mresolutions AT zilianimatteog cubesatsdelivernewinsightsintoagriculturalwateruseatdailyand3mresolutions AT houborgrasmus cubesatsdelivernewinsightsintoagriculturalwateruseatdailyand3mresolutions AT franztrentone cubesatsdelivernewinsightsintoagriculturalwateruseatdailyand3mresolutions AT mccabematthewf cubesatsdelivernewinsightsintoagriculturalwateruseatdailyand3mresolutions |