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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

Texto completo
Autor(es):
Molijn, Ramses A. [1] ; Iannini, Lorenzo [1] ; Rocha, Jansle Vieira [2] ; Hanssen, Ramon F. [1]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Delft Univ Technol, Geosci & Remote Sensing, NL-2628 CN Delft - Netherlands
[2] Univ Estadual Campinas, FEAGRI, BR-13083875 Campinas, SP - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: SCIENTIFIC DATA; v. 5, AUG 7 2018.
Citações Web of Science: 4
Resumo

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 Sao 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. (AU)

Processo FAPESP: 13/50942-2 - Reflectância multiespectral por espectroscopia aplicada na predição de propriedades químicas de solo para o uso em agricultura de precisão em cana de açúcar
Beneficiário:Paulo Sergio Graziano Magalhães
Modalidade de apoio: Auxílio à Pesquisa - Programa BIOEN - Regular