Results show that (1) all floodplain land cover maps in 1990, 2000, 2010, and 2018 had high mapping accuracies (ranging from 90 %☐.001–97%☐.005), suggesting that COHRF is a robust classification approach (2) CARB experienced an approximately 25 % net loss of floodplain wetlands with an area declined from 8867 km 2 to 6630 km 2 during 1990–2018 (3) the lost floodplain wetlands were mostly converted into croplands, while, there were 111 km 2 and 256 km 2 of wetlands rehabilitated from croplands during periods of 2000–20–2018, respectively. To our knowledge, this study is the first attempt that focus on delineating floodplain wetlands at a large-scale and produce the first 30-m spatial resolution dataset demonstrating long-term dynamics of floodplain wetlands in the CARB.
The COHRF classification approach could be used to classify other ecosystems readily and robustly. While earlier work has demonstrated that OBIA rule sets bear a high potential of transferability, they need to be adapted manually, or classification results need to be adjusted manually in a post-processing step. The work described in this article builds on so-called rule sets. SPEECH RECOGNITION EDITING.A major reason for this lack of robustness and transferability is the high complexity of image contents: Especially in very high resolution (VHR) remote-sensing data with varying imaging conditions or sensor characteristics, the variability of the objects’ properties in these varying images is hardly predictable.
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