Optimizing Surface Lithology Interpretation from Global Gravity Model and Landsat 8 Satellite Imagery in Semeru Mountain, Indonesia

Abstract

Conventional geological mapping has high data accuracy but has ineffectiveness such as incomplete sample sweep coverage due to extreme topography, densely populated environmental conditions, and weather constraints in the field. Remote sensing is an effective alternative geological mapping solution through a combination of satellite gravity methods and satellite imagery interpretation. This study aims to apply remote sensing to obtain a more detailed distribution of Mount Semeru lithological types from regional geological maps. Integration of rock density results from satellite gravity and lithology distribution from satellite imagery results in a more detailed lithological types interpretation with more specific physical conditions of rock density. Relatively low rock density values (1.9 - 2.3 gr/cm3) distribution is at the top and foot of the mountain in the outermost areas of the study area indicating relatively thick pyroclastic material with relatively deep bedrock depth, and unconsolidated material. On the side of the body of the mountain slope, there is a relatively high rock density value (2.9 - 3.5 gr/cm3) with an indication of the formation of pyroclastic material which is relatively thinner with the presence of shallower bedrock and has consolidated material. Geological mapping optimization forms the basis for further research related to the planning and development of natural resources, as well as a more effective and efficient advanced geological mapping automation process.