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Impact of soil types on sugarcane development monitored over time by remote sensing

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Abstract

Soil is one of the most important factors for agricultural production. In tropical regions, soil variability is considerable, with the most diverse combinations of physical and chemical characteristics, an influence factor in crop growth and productivity. In this research, the main objective was to identify how soil characteristics and parent material can influence sugarcane development over time using remote sensing. An area located in Sao Paulo, Brazil, of 182 ha (one point per ha with soil analysis), with high variability in the parent material and soil types, was selected. Images from the Sentinel2-MSI satellite were used to describe the spectral behavior of sugarcane over a period of one year. The NDRE (normalized difference red-edge index) was calculated for each image and then the leaf area index (LAI) was obtained from it. Maps of soil classes, soil properties at two depths (0–0.20 and 0.80–1.0 m), and parent material classes were related to sugarcane LAI variability over time. Production environment zones, which is a classification based on soil characteristics to support sugarcane development, were also obtained and related to LAI variability. Spectral signatures of the crop presented different behaviors through the season, soil types and soil attributes provided useful responses for this variability. At the beginning of the season, the surface and subsurface soil properties (texture and fertility) impacted differently on crop development. On the other hand, soil classes and parent material influenced LAI in all production environments studied. The results indicated that the soil types and their properties at different depths have a significant impact on sugarcane development. Furthermore, RS was able to monitor the plant evolution and be related to soil types which may assist in plant management. The results can bring light on how better sugarcane management can be conducted using remote sensing data and soils variability.

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Acknowledgements

We would like to thank FAPESP for granting the scholarship to the first author, the National Scholarship Program “Don Carlos Antonio López” (BECAL) of the Government of Paraguay for granting the scholarship to the second author and the GEOCIS group (https://esalqgeocis.wixsite.com/english).

Funding

This research was funded by FAPESP (2014/22262-0 and 2018/12532-0).

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Authors and Affiliations

  1. Department of Soil Science, “Luiz de Queiroz” College of Agriculture, University of São Paulo, Piracicaba, Brazil

    Merilyn Taynara Accorsi Amorim, Nélida E. Q. Silvero, Henrique Bellinaso, Andrés Maurício Rico Gómez, Lucas T. Greschuk, Lucas Rabelo Campos & José A. M. Demattê

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  1. Merilyn Taynara Accorsi Amorim
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  2. Nélida E. Q. Silvero
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  7. José A. M. Demattê
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Contributions

Methodology: MTAA, NEQS, JAMD; Writing (original draft preparation): MTAA, NEQS, JAMD; Writing (review and editing): MTAA, NEQS, HB, AMRG, LTG, LRC, JAMD; Funding acquisition: JAMD; Supervision: JAMD.

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Correspondence to José A. M. Demattê.

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Amorim, M.T.A., Silvero, N.E.Q., Bellinaso, H. et al. Impact of soil types on sugarcane development monitored over time by remote sensing. Precision Agric 23, 1532–1552 (2022). https://doi.org/10.1007/s11119-022-09896-1

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