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Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil

In order to make effective decisions on sustainable development, it is essential for sugarcane-producing countries to take into account sugarcane acreage and sugarcane production dynamics. The availability of sugarcane biophysical data along the growth season is key to an effective mapping of such d...

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Autores principales: Molijn, Ramses A., Iannini, Lorenzo, Rocha, Jansle Vieira, Hanssen, Ramon F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080497/
https://www.ncbi.nlm.nih.gov/pubmed/30084850
http://dx.doi.org/10.1038/sdata.2018.150
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author Molijn, Ramses A.
Iannini, Lorenzo
Rocha, Jansle Vieira
Hanssen, Ramon F.
author_facet Molijn, Ramses A.
Iannini, Lorenzo
Rocha, Jansle Vieira
Hanssen, Ramon F.
author_sort Molijn, Ramses A.
collection PubMed
description In order to make effective decisions on sustainable development, it is essential for sugarcane-producing countries to take into account sugarcane acreage and sugarcane production dynamics. The availability of sugarcane biophysical data along the growth season is key to an effective mapping of such dynamics, especially to tune agronomic models and to cross-validate indirect satellite measurements. Here, we introduce a dataset comprising 3,500 sugarcane observations collected from October 2014 until October 2015 at four fields in the São Paulo state (Brazil). The campaign included both non-destructive measurements of plant biometrics and destructive biomass weighing procedures. The acquisition plan was designed to maximize cost-effectiveness and minimize field-invasiveness, hence the non-destructive measurements outnumber the destructive ones. To compensate for such imbalance, a method to convert the measured biometrics into biomass estimates, based on the empirical adjustment of allometric models, is proposed. In addition, the paper addresses the precisions associated to the ground measurements and derived metrics. The presented growth dynamics and associated precisions can be adopted when designing new sugarcane measurement campaigns.
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spelling pubmed-60804972018-08-16 Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil Molijn, Ramses A. Iannini, Lorenzo Rocha, Jansle Vieira Hanssen, Ramon F. Sci Data Data Descriptor In order to make effective decisions on sustainable development, it is essential for sugarcane-producing countries to take into account sugarcane acreage and sugarcane production dynamics. The availability of sugarcane biophysical data along the growth season is key to an effective mapping of such dynamics, especially to tune agronomic models and to cross-validate indirect satellite measurements. Here, we introduce a dataset comprising 3,500 sugarcane observations collected from October 2014 until October 2015 at four fields in the São Paulo state (Brazil). The campaign included both non-destructive measurements of plant biometrics and destructive biomass weighing procedures. The acquisition plan was designed to maximize cost-effectiveness and minimize field-invasiveness, hence the non-destructive measurements outnumber the destructive ones. To compensate for such imbalance, a method to convert the measured biometrics into biomass estimates, based on the empirical adjustment of allometric models, is proposed. In addition, the paper addresses the precisions associated to the ground measurements and derived metrics. The presented growth dynamics and associated precisions can be adopted when designing new sugarcane measurement campaigns. Nature Publishing Group 2018-08-07 /pmc/articles/PMC6080497/ /pubmed/30084850 http://dx.doi.org/10.1038/sdata.2018.150 Text en Copyright © 2018, The Author(s) http://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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Molijn, Ramses A.
Iannini, Lorenzo
Rocha, Jansle Vieira
Hanssen, Ramon F.
Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil
title Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil
title_full Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil
title_fullStr Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil
title_full_unstemmed Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil
title_short Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil
title_sort ground reference data for sugarcane biomass estimation in são paulo state, brazil
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080497/
https://www.ncbi.nlm.nih.gov/pubmed/30084850
http://dx.doi.org/10.1038/sdata.2018.150
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