Cropland-CD
The CLCD dataset consists of 600 pairs image of cropland change samples, with 360 pairs for training, 120 pairs for validation and 120 pairs for testing. The bi-temporal images in CLCD were collected by Gaofen-2 in Guangdong Province, China, in 2017 and 2019, respectively, with spatial resolution ranged from 0.5 to 2 m. Each group of samples is composed of two images of 512 × 512 and a corresponding binary label of cropland change.
Dataset paper: A CNN-Transformer Network With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection
Variants: CLCD
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Change Detection | BTC | Be the Change You Want … | 2025-07-04 |
Change Detection | MTP (ViT-B + RVSA) | MTP: Advancing Remote Sensing Foundation … | 2024-03-20 |
Change Detection | FC-Siam-diff | Fully Convolutional Siamese Networks for … | 2018-10-19 |
Recent papers with results on this dataset: