Claim Missing Document
Check
Articles

Identifikasi Data Remote Sensing NDVI, LST DAN LULC Pada Manifestasi Panas Bumi Di Kabupaten Bondowoso Octaviani, Linggar Ayu; Cahyono, Bowo Eko; Suprianto, Agus
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.9620

Abstract

The increasing energy demand in Indonesia encourages the exploration of alternative energy sources, including geothermal energy. Bondowoso Regency, particularly the Blawan area, holds significant geothermal potential that remains underutilized. This study analyzes the relationship between Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), and Land Use Land Cover (LULC) using Landsat 8 imagery processed through Google Earth Engine. Spatial data of LST, NDVI, and LULC were extracted, visualized, and interpreted to identify geothermal manifestation areas. The results show that geothermal manifestations are indicated by high LST values (above 35°C), low NDVI values (sparse vegetation), and specific land use patterns, especially in the northeastern part of Bondowoso. The integration of LST, NDVI, and LULC enables more accurate identification of geothermal potential. The study concludes that remote sensing-based analysis is effective for detecting geothermal manifestations and supports more optimal geothermal resource mapping, exploration, and management, contributing to the sustainable development of renewable energy in the region.
THE RELATIONSHIP BETWEEN LAND USE AND LAND COVER TO RUN-OFF COEFFICIENT VALUE IN BRANTAS WATERSHED AREA, TULUNGAGUNG - EAST JAVA, INDONESIA Bowo Eko Cahyono; Asih Sumarlin; Nurul Priyantari; Katsunoshin Nishi
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 2 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3851

Abstract

The Ngrowo-Ngasinan sub-watershed is a part of Brantas Watershed which has an important role for the aquatic ecosystems in the Brantas watershed. Land cover changes in this sub-watershed can be identified by utilizing remote sensing technology. The use of remote sensing technology by applying Landsat 8 image data can be done by classifying several classes of land cover in the study area. Land cover affected the flow rate of a watershed because of its association with several problems due to the conversion of land. Land cover which influences the watershed ecosystems is forest. In addition to land cover, regional rainfall also affects the flow rate (runoff) in the area