Preprints
https://doi.org/10.5194/essd-2021-88
https://doi.org/10.5194/essd-2021-88

  23 Jun 2021

23 Jun 2021

Review status: this preprint is currently under review for the journal ESSD.

High-resolution map of sugarcane cultivation in Brazil using a phenology-based method

Yi Zheng1, Ana Cláudia dos Santos Luciano2,3, Jie Dong4, and Wenping Yuan1 Yi Zheng et al.
  • 1School of Atmospheric Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Zhuhai 519082, Guangdong, China
  • 2Department of Biosystems Engineering, College of Agriculture “Luiz de Queiroz” (ESALQ), University of Sao Paulo, Sao Paulo, P.O. Box 9 Av. Padua Dias 11, 13418-900 Piracicaba-SP, Brazil
  • 3Interdisciplinary Center on Energy Planning (NIPE), UNICAMP, 13083-896 Campinas, Brazil
  • 4College of Geomatics & Municipal Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, Zhejiang, China

Abstract. Sugarcane is the most important source of sugar, and its cultivation area has undergone rapid expansion, replacing other crops, pastures, and forests. Brazil is the world's largest sugarcane producer and contributed to approximately 38.6 % of the world's total production in 2019. Sugarcane in Brazil can be harvested from April to December in south-central area and from September to April in northeast area. The flexible phenology and harvest conditions of sugarcane in Brazil make it difficult to identify the harvest area at state to country scales. In this study, we developed a phenology-based method to identify the harvest area of sugarcane in Brazil by incorporating the multiple phenology conditions into a time-weighted dynamic time warping method (TWDTW). Then, we produced annual 30-m spatial resolution sugarcane harvest maps (2016–2019) for 14 states in Brazil (over 98 % of the harvest area) based on the proposed method by using Landsat-7/8 and Sentinel-2 optical data. The proposed method performed well in identifying sugarcane harvest area with limited training sample data. Validations for the 2018 harvest year displayed high accuracy, with user's, producer's, and overall accuracies of 97.00 %, 88.08 %, and 92.99 % in Brazil, respectively. In addition, the identified harvest area of sugarcane exhibited good correlations with the agricultural statistical data provided by the Brazilian Institute of Geography and Statistics (IBGE) at the municipality, microregion, and mesoregion levels. The 30-m Brazil sugarcane harvest maps can be obtained at https://doi.org/10.6084/m9.figshare.14213909 (Zheng et al., 2021).

Yi Zheng et al.

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-88', Anonymous Referee #1, 14 Sep 2021 reply

Yi Zheng et al.

Data sets

30-m sugarcane harvest maps in Brazil Zheng, Y., dos Santos Luciano, A. C., Dong, J., Yuan, W. https://doi.org/10.6084/m9.figshare.14213909

Yi Zheng et al.

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Short summary
Brazil is the largest sugarcane producer. Sugarcane in Brazil can be harvested all the year round. The flexible phenology makes it difficult to identify sugarcane in Brazil at country scale. We developed a phenology-based method which can identify sugarcane with limited training data. The sugarcane maps for Brazil were in high accuracy by comparing against field samples and statistical data. The maps can be used to monitor the growing condition and evaluate the feedback to climate of sugarcane.