LEM BENCHMARK DATABASE FOR TROPICAL AGRICULTURAL REMOTE SENSING APPLICATION

11 citations as recorded by crossref.

1. LEM+ dataset: For agricultural remote sensing applications L. Oldoni et al. 10.1016/j.dib.2020.106553
2. Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences J. Chamorro Martinez et al. 10.1016/j.isprsjprs.2020.11.007
3. Open Set Semantic Segmentation for Multitemporal Crop Recognition J. Chamorro Martinez et al. 10.1109/LGRS.2021.3113828
4. Evaluation of synthetic data generation for intelligent climate control in greenhouses J. Morales-García et al. 10.1007/s10489-023-04783-2
5. Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review M. E. D. Chaves et al. 10.3390/rs12183062
6. Outlier Exposure for Open Set Crop Recognition From Multitemporal Image Sequences T. Carvalho et al. 10.1109/LGRS.2023.3244532
7. 3D convolution for multidate crop recognition from multitemporal image sequences M. Rogozinski et al. 10.1080/01431161.2021.1976876
8. Atrous cGAN for SAR to Optical Image Translation J. Noa Turnes et al. 10.1109/LGRS.2020.3031199
9. Improving crop mapping in Brazil’s Cerrado from a data cubes-derived Sentinel-2 temporal analysis M. Chaves & I. Sanches 10.1016/j.rsase.2023.101014
10. Learning Crop-Type Mapping From Regional Label Proportions in Large-Scale SAR and Optical Imagery L. Cué La Rosa et al. 10.1109/TGRS.2023.3321156
11. CBERS data cubes for land use and land cover mapping in the Brazilian Cerrado agricultural belt M. Chaves et al. 10.1080/01431161.2021.1978584