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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.)

THE USE OF ALOS/PALSAR DATA FOR ESTIMATING SUGARCANE PRODUCTIVITY

Texto completo
Autor(es):
Picoli, Michelle C. A. [1] ; Lamparelli, Rubens A. C. [2] ; Sano, Edson E. [3] ; Rocha, Jansle V. [4]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] CTBE, Div Sustentabilidade Prod Biomassa & Bioenergia, BR-35121010 Campinas, SP - Brazil
[2] Univ Estadual Campinas, Ncleo Interdisciplinar Planejamento Energet, Campinas, SP - Brazil
[3] EMBRAPA, Ctr Pesquisa Agr Cerrados, Brasilia, DF - Brazil
[4] Univ Estadual Campinas, Fac Agr Engn, Campinas, SP - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: Engenharia Agrícola; v. 34, n. 6, p. 1245-1255, NOV-DEC 2014.
Citações Web of Science: 2
Resumo

Some models have been developed using agrometeorological and remote sensing data to estimate agriculture production. However, it is expected that the use of SAR images can improve their performance. The main objective of this study was to estimate the sugarcane production using a multiple linear regression model which considers agronomic data and ALOS/PALSAR images obtained from 2007/08, 2008/09 and 2009/10 cropping seasons. The performance of models was evaluated by coefficient of determination, t-test, Willmott agreement index (d), random error and standard error. The model was able to explain 79%, 12% and 74% of the variation in the observed productions of the 2007/08, 2008/09 and 2009/10 cropping seasons, respectively. Performance of the model for the 2008/09 cropping season was poor because of the occurrence of a long period of drought in that season. When the three seasons were considered all together, the model explained 66% of the variation. Results showed that SAR-based yield prediction models can contribute and assist sugar mill technicians to improve such estimates. (AU)

Processo FAPESP: 08/06043-5 - Uso de imagens SAR multi-polarizadas e ópticas, do satélite ALOS, na caracterização espectral da cultura da cana-de-açúcar e sua relação com a produtividade
Beneficiário:Rubens Augusto Camargo Lamparelli
Linha de fomento: Auxílio à Pesquisa - Regular