LIMITATION ASSESSMENT AND WORKFLOW REFINEMENT OF THE MANGROVE VEGETATION INDEX (MVI)-BASED MAPPING METHODOLOGY USING SENTINEL-2 IMAGERY

12 citations as recorded by crossref.

1. Decoding mangrove diversity through species classification in the Indian Sundarbans using PRISMA hyperspectral data S. Banerjee et al. https://doi.org/10.1080/01431161.2025.2589530
2. A Review of Spectral Indices for Mangrove Remote Sensing T. Tran et al. https://doi.org/10.3390/rs14194868
3. The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak Z. Aulia et al. https://doi.org/10.20473/jipk.v16i1.43935
4. Ecological vulnerability assessment of mangroves along coasts of China's mainland based on remote sensing and multi-criteria approach S. She et al. https://doi.org/10.1016/j.rsma.2025.104521
5. The impact of port production on mangrove ecological vulnerability: Evidence from mainland China J. Chen et al. https://doi.org/10.1016/j.marenvres.2026.108436
6. Spatiotemporal analysis of mangrove vegetation changes in Cà Mau, Vietnam M. Tae et al. https://doi.org/10.1016/j.marpolbul.2025.119108
7. Accuracy is not certainty: using model agreement and human judgment to assess spatial uncertainty in high-resolution mangrove mapping K. Ashraful Islam et al. https://doi.org/10.1088/1748-9326/ae867e
8. Advancing Mangrove Classification and Biomass Estimation in the Colombian Pacific Through Google AlphaEarth Foundations and Machine Learning Y. Garcés-Gómez et al. https://doi.org/10.3390/computers15070414
9. A Hybrid Mangrove Identification Method by Combining the Time-Frequency Threshold of the Mangrove Index With a Random Forest Binary Classifier Z. Jian et al. https://doi.org/10.1109/JSTARS.2024.3494058
10. Comparación de índices de vegetación basados en imágenes satelitales para la identificación de bosques de manglar en Colombia M. Perea-Ardila & P. Murillo-Sandoval https://doi.org/10.21829/myb.2024.3042600
11. Mangrove Biodiversity, GIS Weighted Overlay Analysis, and Mapping of Suitable Areas in Alabel, Sarangani Province, Philippines J. Jumawan https://doi.org/10.54610/jeseg/4.1.2022.002
12. Advancing Soil Moisture Prediction Using Satellite and UAV-based Imagery with Machine Learning Models S. Hussain et al. https://doi.org/10.1007/s41748-025-00761-5