A. Hidayanto

PERFORMANCE EVALUATION OF DEEP LEARNING-BASED SEGMENTATION MODELS FOR SMALL BURNED AREA DETECTION IN LANDSAT-8 IMAGES

Accurate and timely burned area mapping is crucial for post-fire management, planning, and mitigation strategies. Traditional approaches for burned area detection are often time- consuming and challenging, highlighting the need for more efficient and automated methods. This study investigates the performance of several...