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Estimating Double Cropping Plantations in the Brazilian Cerrado through PlanetScope Monthly Mosaics

Author

Listed:
  • Edson Eyji Sano

    (Brazilian Agricultural Research Corporation, Embrapa Cerrados, Planaltina 73301-970, DF, Brazil)

  • Édson Luis Bolfe

    (Brazilian Agricultural Research Corporation, Embrapa Agricultura Digital, Campinas 13083-886, SP, Brazil
    Institute of Geosciences, State University of Campinas (UNICAMP), Campinas 13083-855, SP, Brazil)

  • Taya Cristo Parreiras

    (Institute of Geosciences, State University of Campinas (UNICAMP), Campinas 13083-855, SP, Brazil)

  • Giovana Maranhão Bettiol

    (Brazilian Agricultural Research Corporation, Embrapa Cerrados, Planaltina 73301-970, DF, Brazil)

  • Luiz Eduardo Vicente

    (Brazilian Agricultural Research Corporation, Embrapa Meio Ambiente, Jaguariúna 13917-200, SP, Brazil)

  • Ieda Del′Arco Sanches

    (National Institute for Space Research (INPE), São José dos Campos 12227-010, SP, Brazil)

  • Daniel de Castro Victoria

    (Brazilian Agricultural Research Corporation, Embrapa Agricultura Digital, Campinas 13083-886, SP, Brazil)

Abstract

Farmers in the Brazilian Cerrado are increasing grain production by cultivating second crops during the same crop growing season. The release of PlanetScope (PS) satellite images represents an innovative opportunity to monitor double cropping production. In this study, we analyzed the potential of six PS monthly mosaics from the 2021/2022 crop growing season to discriminate double cropping areas in the municipality of Goiatuba, Goiás State, Brazil. The four multispectral bands of the PS images were converted into normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), green–red normalized difference index (GRNDI), and textural features derived from the gray-level co-occurrence matrix (GLCM). The ten most important combinations of these attributes were used to map double cropping systems and other land use and land cover classes (cultivated pasture, sugarcane, and native vegetation) of the municipality through the Random Forest classifier. Training and validation samples were obtained from field campaigns conducted in October 2021 and April 2022. PS mosaic from February 2022 was the most relevant data. The overall accuracy and Kappa index of the final map were 92.2% and 0.892, respectively, with an accuracy confidence of 81%. This approach can be expanded for mapping and monitoring other agricultural frontiers in the Cerrado biome.

Suggested Citation

  • Edson Eyji Sano & Édson Luis Bolfe & Taya Cristo Parreiras & Giovana Maranhão Bettiol & Luiz Eduardo Vicente & Ieda Del′Arco Sanches & Daniel de Castro Victoria, 2023. "Estimating Double Cropping Plantations in the Brazilian Cerrado through PlanetScope Monthly Mosaics," Land, MDPI, vol. 12(3), pages 1-19, February.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:3:p:581-:d:1083251
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    References listed on IDEAS

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    1. Norman Myers & Russell A. Mittermeier & Cristina G. Mittermeier & Gustavo A. B. da Fonseca & Jennifer Kent, 2000. "Biodiversity hotspots for conservation priorities," Nature, Nature, vol. 403(6772), pages 853-858, February.
    2. Ludmila Rattis & Paulo M. Brando & Marcia N. Macedo & Stephanie A. Spera & Andrea D. A. Castanho & Eduardo Q. Marques & Nathane Q. Costa & Divino V. Silverio & Michael T. Coe, 2021. "Climatic limit for agriculture in Brazil," Nature Climate Change, Nature, vol. 11(12), pages 1098-1104, December.
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    1. Édson Luis Bolfe & Daniel de Castro Victoria & Edson Eyji Sano & Gustavo Bayma & Silvia Maria Fonseca Silveira Massruhá & Aryeverton Fortes de Oliveira, 2024. "Potential for Agricultural Expansion in Degraded Pasture Lands in Brazil Based on Geospatial Databases," Land, MDPI, vol. 13(2), pages 1-17, February.

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