MULTISENGE: A MULTIMODAL AND MULTITEMPORAL BENCHMARK DATASET FOR LAND USE/LAND COVER REMOTE SENSING APPLICATIONS

8 citations as recorded by crossref.

1. MMF-CNN: a multimodal fusion CNN network for winter wheat extraction incorporating active and passive time series data J. Chen et al. 10.1080/01431161.2024.2318773
2. Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset R. Wenger et al. 10.3390/rs15010151
3. Automatic wide area land cover mapping using Sentinel-1 multitemporal data D. Marzi et al. 10.3389/frsen.2023.1148328
4. Sen-2 LULC: Land use land cover dataset for deep learning approaches S. Sawant et al. 10.1016/j.dib.2023.109724
5. A 3-D Fully Convolutional Network Approach for Land Cover Mapping Using Multitemporal Sentinel-1 SAR Data D. Marzi et al. 10.1109/LGRS.2023.3332765
6. Recursive classification of satellite imaging time-series: An application to land cover mapping H. Calatrava et al. 10.1016/j.isprsjprs.2024.09.003
7. Self-Supervised Spatio-Temporal Representation Learning Of Satellite Image Time Series I. Dumeur et al. 10.1109/JSTARS.2024.3358066
8. NTL-Unet: A Satellite-Based Approach for Non-Technical Loss Detection in Electricity Distribution Using Sentinel-2 Imagery and Machine Learning M. Gremes et al. 10.3390/s24154924