Abstract This study was conducted to identify the condition of savannah fields after forest and land fires in parts of the Bromo Volcano area, East Java, Indonesia, in September 2023. The research was conducted through remote sensing technology and integrated geographic information systems. The data used is remote sensing multitemporal data in the form of Sentinel 2 imagery. Sentinel 2 imagery is remote sensing data generated from Sentinel satellite recording. Sentinel 2 imagery was used in this study because it has excellent spatial and temporal resolution. The spatial resolution of Citra Sentinel is 10 meters, and its temporal resolution is ten daily. The data were analyzed using spatial and temporal approaches to determine the condition of the savanna before and after forest and land fires. The software used to analyze the data and visualize spatial information is Google Earth Engine (GEE) and Arc Map Version 10.6. The data analysis methods used include changes in the detection of burned areas using the normalized burn ratio (NBR) method, making fire class classifications based on the U.S. Geological Survey (USGS), post-fire monitoring using the normalized difference vegetation index (NDVI), and monitoring vegetation recovery from post-NDVI values—fires by comparing in different years in the same month using the fishnet method. The temporal months chosen to analyze the recovery process are September, October, November, and December 2023. Based on the study’s results, it is known that in September and October 2023, there has been no vegetation recovery. Vegetation began to look restored in November and December 2023.
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