rgb imagewidth (px) 512 512 | ndvi_bands unknown | ndvi_bands_shape listlengths 3 3 | ndvi_bands_dtype stringclasses 1
value | ndvi_band_metadata stringclasses 1
value | ndvi_band_order listlengths | sar_bands unknown | sar_bands_shape listlengths 3 3 | sar_bands_dtype stringclasses 1
value | sar_band_metadata stringclasses 1
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End of preview. Expand in Data Studio
Sentinel Sar Ndvi
This dataset provides real satellite imagery of agricultural fields, captured using the Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 optical sensors from 2017 to 2024. It offers complementary radar and optical (RGB) data streams collected over natural field environments, enabling multi-modal analysis for land monitoring applications. The collection supports computer vision research requiring synchronized multi-sensor observations in real-world agricultural settings. The dataset contains 2,200 images with no classification, segmentation, or bounding-box annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{cardonamesa2024dataset,
title={Dataset of Sentinel-1 SAR and Sentinel-2 RGB-NDVI imagery},
author={Cardona-Mesa, Ahmed Alejandro and Vásquez-Salazar, Rubén Darío and Gómez, Luis and Travieso-González, Carlos M. and Garavito-González, Andrés F. and Vásquez-Cano, Esteban and Díaz-Paz, Jean Pierre},
journal={Data in Brief},
volume={57},
pages={111160},
year={2024},
publisher={Elsevier}
}
Diaz, Jean; Vasquez, Ruben; Garavito-Gonzalez, Andrés F.; Vásquez-Cano, Esteban (2024), “Dataset of Sentinel-1 SAR and Sentinel-2 NDVI Imagery”, Mendeley Data, V3, doi: 10.17632/xjcr5k4c9t.3
This dataset was reformatted from its original format to match HuggingFace standards.
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