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Journal : Natural B

Analysis of The Distribution of Geothermal Potential and The Manifestations in Ijen Volcanic Complex Based on Land Surface Temperature and Geomorphology Bowo Eko Cahyono; Nurfaizatul Jannah; Agus Suprianto
Natural B, Journal of Health and Environmental Sciences Vol 5, No 1 (2019)
Publisher : Natural B, Journal of Health and Environmental Sciences

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Abstract

Indonesia's geographical conditions which are at the confluence of three tectonic plates contribute to the availability of geothermal energy. The first step that can be taken in geothermal potential exploration activities is to study the characteristics of geothermal potential areas. In this case the study of the characteristics of geothermal potential will be carried out in the Ijen Mountains complex. This study aims to analyze the distribution of geothermal potential based on land surface temperature, and geothermal manifestations based on the association of land surface temperature and geomorphology. Remote sensing data used in the study were Landsat 8 images acquired in September 2013, 2015, and 2017. The results showed that geothermal potential areas were in the interior of the Ijen Mountains caldera with a temperature anomaly of 26-50 °C which was dominated by high greenish vegetation. While some geothermal manifestations that have been recorded are known to be associated with lineament that intersects with high land surface temperatures, so that the lineament that has the potential to be a fluid discharge pathway for geothermal manifestations is lineament that consistently intersects with high land surface temperatures in September 2013, 2015, and 2017 with the Southeast-Northwest and Southwest-Northeast orientations.
Analisis Kesehatan Mangrove di Probolinggo Menggunakan Data Sentinel-2A Rizky Mauli Diyah; Bowo Eko Cahyono; Agung Tjahjo Nugroho
Natural B, Journal of Health and Environmental Sciences Vol 5, No 2 (2019)
Publisher : Natural B, Journal of Health and Environmental Sciences

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Abstract

Probolinggo is one of the regencies which is directly adjacent to the Madura Strait and this area has a coastal area of around 71,893 Km. This long coastal area cause the area has high risk of coastal abrasion, so that monitoring of the condition of mangrove forests is needed to prevent the abrasion. In the coastal areas of probolinggo mangrove forests are used into purposes fields such as tourism, disaster prevention, education and conservation. To maximize the role of the mangrove forests, the analysis of mangrove health analysis in Probolinggo is very important to do. Because of the large research area, the utilization of remote sensing becomes an important alternative method. This study utilizes Sentinel-2A satellite imagery using the supervised classification method for area classification and the Normalized Different Vegetation Index method to classify mangrove health. Based on the results of the supervised classification analysis, the accuracy test using overall accuracy gives the accuracy result of 96.57% and from the mangrove health classification it is known that most of the mangroves in Probolinggo are in good health with a percentage of 75.75% of the total mangrove area i.e 367.04 hectares . Further research on the correlation of mangrove health to water quality is suggested to get more complex information about mangrove health.