Analisis Pemulihan Vegetasi Menggunakan NDVI Berbasis Citra Sentinel-2 Di Desa Kiram Kabupaten Banjar

Abstract

This study aimed to analyze vegetation recovery dynamics in Kiram Village, Banjar Regency, South Kalimantan, Indonesia during the period 2023–2025 using the Normalized Difference Vegetation Index (NDVI) derived from Sentinel-2 satellite imagery. A multi-temporal NDVI approach combined with NDVI change detection was applied to identify vegetation recovery trajectories and determine restoration priority zones. The results indicate a clear improvement in vegetation condition during the study period. The combined area of non-vegetation and low vegetation classes decreased from 11.47% in 2023 to 4.13% in 2025. In contrast, the medium vegetation class increased from 83.24% to 86.19%, while the high vegetation class increased from 5.29% to 9.69% over the same period. NDVI change detection further revealed that the study area could be classified into three vegetation recovery zones: rapid recovery, stable, and low-recovery zones. The dominance of medium vegetation, covering more than 80% of the study area, indicates that the Kiram landscape is currently in an intermediate vegetation recovery stage. These findings demonstrate that multi-temporal NDVI analysis is an effective approach for monitoring vegetation recovery dynamics and identifying priority areas for ecosystem restoration at the village landscape scale.