Spatial variability of vegetation indices (Sentinel-2) for coffee crop monitoring on small farm.
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Abstract: Monitoring the development of coffee crops on small farm with steep slopes is facilitated by resources like high-spatial-resolution satellite imagery, such as that obtained by Sentinel-2A. From this data, it's possible to derive NDVI (Normalized Difference Vegetation Index) and NDRE (Normalized Difference Red-Edge Index). The objective of this study was to monitor the vegetative development phase of coffee crops on a smallholding in the municipality of Caconde, SP, for 5 years. Sentinel-2A images from December of 2020, 2021, 2022, 2023, and 2024 were selected and downloaded to generate NDVI and NDRE images. A total of 2,671 NDVI pixels and 671 NDRE pixels were extracted and subjected to geostatistical analysis to identify spatial variability and construct contour maps. The results from the geostatistical analysis allowed for the identification of scaled-time spatial dependence of the data for both indices. Furthermore, the maps reveal a change in vegetative pattern over the years in response to crop management carried out between these study years.
Editores: Paulo Sergio de Paula Herrmann Junior, Henriette Monteiro Cordeiro de Azeredo, Maria Fernanda Berlingieri Durigan, Luís Henrique Bassoi. SIAGRO 2025.
Editores: Paulo Sergio de Paula Herrmann Junior, Henriette Monteiro Cordeiro de Azeredo, Maria Fernanda Berlingieri Durigan, Luís Henrique Bassoi. SIAGRO 2025.
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Geoestatística, Índice de vegetação, NDVI, NDRE, Imagem de satélite, Variabilidade espacial, Satellite image, Café, Geostatistics, Vegetation index, Normalized difference vegetation index