BURNT AREA DETECTION USING MEDIUM RESOLUTION SENTINEL 2 AND LANDSAT 8 SATELLITES

5 citations as recorded by crossref.

1. Leveraging Google Earth Engine and Semi-Supervised Generative Adversarial Networks to Assess Initial Burn Severity in Forest G. Wang et al. https://doi.org/10.1080/07038992.2022.2054405
2. Forest fires in Kenya: a systematic review B. Rotich et al. https://doi.org/10.1007/s44415-025-00012-5
3. Spatial analysis and mapping of potential wildfires from Landsat satellite data E. Asangaliyev et al. https://doi.org/10.35595/2414-9179-2024-1-30-476-490
4. Deep Learning Dataset for Estimating Burned Areas: Case Study, Indonesia Y. Prabowo et al. https://doi.org/10.3390/data7060078
5. Detecting burnt severity and vegetation regrowth classes using a change vector analysis approach: a case study in the southern part of Sumatra, Indonesia N. Santi et al. https://doi.org/10.1071/WF21190