DETECTION OF SHALLOW WATER AREA WITH MACHINE LEARNING ALGORITHMS

6 citations as recorded by crossref.

1. Image fusion based approach of water extraction from spectrally mixed water regions belonging to the sources of varying nature V. Mishra et al. https://doi.org/10.1007/s11042-023-15095-5
2. UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery N. Abid et al. https://doi.org/10.1016/j.jag.2021.102568
3. Habitat-based forage productivity and grazing dynamics in a heterogeneous wetland system S. Albayrak et al. https://doi.org/10.1007/s11273-026-10170-8
4. Satellite-derived shallow wetland bathymetry using different classification algorithms and datasets A. Dervisoglu et al. https://doi.org/10.5004/dwt.2021.27857
5. Water level monitoring using classification techniques on Landsat‐8 data at Sangam region, Prayagraj, India V. Mishra & T. Pant https://doi.org/10.1049/iet-ipr.2020.1078
6. Open surface water index: a novel approach for surface water mapping and extraction using multispectral and multisensory data V. Mishra & T. Pant https://doi.org/10.1080/2150704X.2020.1804085