Land cover classification using data fusion to support sustainable coffee certification processes

Manuela Ramos-Ospina; Catalina Rodriguez-Cardona; Alejandro Marulanda-Tobón

doi:10.1117/12.3031551

20 November 2024 Land cover classification using data fusion to support sustainable coffee certification processes

Manuela Ramos-Ospina, Catalina Rodriguez-Cardona, Alejandro Marulanda-Tobón

Author Affiliations +

Proceedings Volume 13191, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVI; 131910X (2024) https://doi.org/10.1117/12.3031551
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Conference Poster

Abstract

Land cover classification is a remote sensing task that enables the visualization of different land uses. In the context of the sustainable coffee market, a land cover map is required as part of the sustainable coffee certification process. In this study, the land cover of a coffee production farm was classified into four categories: coffee, forest, civil infrastructure, and soil areas. Aerial images were acquired using a UAV equipped with visible and multispectral cameras. Image processing resulted in an orthomosaic for each camera, a vegetative index map (NDVI), and digital elevation models. Through statistical analysis and data fusion strategies, multithresholding and decision tree models—CART, Random Forest (RF), and Gradient Boosting (GB)—were trained and used to classify each pixel into one of the four categories. GB achieved the highest accuracy (94%), followed by RF (84%) and CART (83%). This study enhances the understanding of remote sensing methodologies and land use classification, specifically applied to the geographical particularities of the Colombian territory, and serves as a foundational step toward the application of agricultural technological innovation models in the country.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Manuela Ramos-Ospina, Catalina Rodriguez-Cardona, and Alejandro Marulanda-Tobón "Land cover classification using data fusion to support sustainable coffee certification processes", Proc. SPIE 13191, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVI, 131910X (20 November 2024); https://doi.org/10.1117/12.3031551

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