Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado

Bendini, Hugo N.;Fonseca, Leila M. G.;Soares, Anderson R.;Rufin, Marcel Philippe;Hostert, Patrick;et.al.
(2020) IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium — Location: Waikoloa, HI, USA (26.September.2020)

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Authors
  • Bendini, Hugo N.
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  • Fonseca, Leila M. G.
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  • Soares, Anderson R.
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  • Rufin, Marcel Philippeorcid-logoUCLouvain
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  • Hostert, Patrick
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Abstract
(en) Mapping agriculture with high accuracy is important to generate reliable information about crop production. Pixel-based methods still present problems with noise and usually require post-processing approaches to reach satisfactory results. Object-based Image Analysis (OBIA) enable the detection of homogeneous objects in remote sensing images based on spectral similarity. However, traditional OBIA does not consider the multi-temporal characteristics of land cover or land use, such as agriculture. The objective of this study is to evaluate a phenological object-based approach with dense Landsat image time series for mapping agriculture in different level of detail in the Brazilian Cerrado. We derived pixel-wise EVI fitted time series with 8-day temporal resolution and applied multi-resolution segmentation using all image bands to incorporate the influence of space and time. Then we generated phenological metrics and applied OBIA of agricultural lands in Brazil using a hierarchical classification scheme. The overall accuracies for each hierarchical level were around 90%, and the spatial consistency of the generated maps is promising.
Affiliations
  • Humboldt-Universität zu BerlinGeography Department

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Bendini, H. N., Fonseca, L. M. G., Soares, A. R., Rufin, M. P., Schwieder, M., Rodrigues, M. A., Maretto, R. V., Korting, T. S., Leitao, P. J., Sanches, I. D. A., & Hostert, P. (2020). Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado. International Geoscience and Remote Sensing Symposium Digest, 2020, 1078-1081. https://doi.org/10.1109/igarss39084.2020.9323184 (Original work published 2020)