Abstract
This research tried to detect a burned area that occurred in the mountainous region of Java Island. During this time, forest and land fires mostly occur in lowland areas in Sumatra and Kalimantan. However, it is possible that this phenomenon also occurs in mountainous regions, especially the mountainous regions of Java Island. The data used were Landsat-8, the latest generation of the Landsat series. The research location was on the Northeast slope of Mt. Ijen in East Java. The research methods include radiometric correction, data fusion, sample training retrieval, reflectance pattern analysis, Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) extraction, separability analysis, parameter selection for burned area detection, parameter test, and evaluation. The results show that ρ5 and NBRL parameter shows the highest values of D-values (most sensitive), to detect the burned area. Then, compared to ρ5, NDVI and NBRS, Normalized Burn Ratio long (NBRL) provide better results in detecting burned areas.
Highlights
During this time, forest and land fires mostly occur in lowland areas in Sumatra and Kalimantan
Measurements were made for Normalized Difference Vegetation Index (NDVI), NBRS and Normalized Burn Ratio long (NBRL) images
When the results were compared with the appearance of the Landsat-8 RGB color composite image 654 (Fig 1), visually can be seen that the results of parameter estimation using NBRL already provides a good overview of the results
Summary
Forest and land fires mostly occur in lowland areas in Sumatra and Kalimantan. Landsat-8, the latest generation satellite of the Landsat series and previous generation Landsat, such as Landsat TM and Landsat ETM+, have been widely used to identified and mapped of forest and land fires [3,4,5,6,7,8,9,10,11,12]. This research raises the topic of how remote sensing image data can be used in generating information on the distribution and extent of burned areas located on mineral soils in mountainous areas. This burned area information is important information for estimating carbon emissions from forest and land fires, impact and damage assessments, and for preparing the policy or mitigation programs to prevent forest and land fires
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