Identifying of the relationship between lineament density and vegetation index at Tumpangpitu Mining Area, East Java, Indonesia

• Main Authors: Haeruddin, Irawan, Januar Fery
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Density; Geology; Land cover; Landsat satellites; Mineral resources; Normalized difference vegetative index; Satellite imagery; Satellite observation; Vegetation; Vegetation index
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0014701

Tumpangpitu Mining Area was in Banyuwangi Regency, East Java, Indonesia. This area has potential of mineral resources, forests, plantations and agriculture. The potential for mineral resources was developed into the Tumpangpitu mining area. Geological structures as a controller of mineral resource potential can be observed through satellite imagery using lineament analysis. Furthermore, the lineament can be tested for its effect on land cover diversity through analysis of the vegetation index. Utilization of satellite imagery such as Landsat-8 and SRTM DEM can be used to determine the lineament and vegetation index. In this case, Landsat-8 is useful for knowing the vegetation index, while SRTM DEM can be used to determine lineament of the morphology and geological structures. The spatial characterization of lineament was obtained by measuring lineament density (intersection, number, and length) using modified Segmen Tracing Algorithm (mSTA). The measurement of vegetation index was processed using NDVI (Normalized Difference Vegetation Index). In this case, the vegetation index has a range of -0.48 to 0.87, with a mean of 0.48. This indicates that the study area was dominated by dense vegetation, especially on the northern part in the study area. Lineament density which includes intersection, number, and length of lineament have a positive correlation with vegetation index value. Thus, it could be concluded that the greater lineament density in a zone, the greater of the vegetation index.