Paper
9 January 2015 Mapping system for the surface temperature in the Ijen Crater by Landsat-8 imagery with supervised image segmentation method based on fuzzy logic
Wiweka Adiatma, Apriani Kusumawardhani, Hendra Cordova
Author Affiliations +
Proceedings Volume 9444, International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2014); 94440H (2015) https://doi.org/10.1117/12.2081217
Event: International Seminar on Photonics, Optics, and Applications 2014, 2014, Sanur, Bali, Indonesia
Abstract
Mapping temperature will affect the exploration of geothermal resources. On February 11 2013, Landsat-8 was launched to continue the mission of the satellite before. Because of this conditions it is necessary to research on the particular application of Landsat data for mapping the land surface temperature in the mountainous area of Ijen, Banyuwangi, East Java. The image used in this study has dimensions 242 × 237 with 336 KB of the data. The canals on Landsat-8 in used is channel 6, channel 5, channel 3, channel 10, channel 11. Application of these channel based on the capabilities of each sensor between Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS). Supervised Image Segmentation methods used for classification with a total inputs 36 class and output 3 class. Based on the rules of membership function in fuzzy logic, 3 category states of cold category, medium category and hot category. The minimum temperature value obtained from the calculation of the surface temperature is 288 K and then the maximum temperature value obtained is 309 K. 13 point coordinates are used as reference for the validation data, so the result of measurement temperature is appropriate because error value only 7%.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wiweka Adiatma, Apriani Kusumawardhani, and Hendra Cordova "Mapping system for the surface temperature in the Ijen Crater by Landsat-8 imagery with supervised image segmentation method based on fuzzy logic", Proc. SPIE 9444, International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2014), 94440H (9 January 2015); https://doi.org/10.1117/12.2081217
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KEYWORDS
Image classification

Earth observing sensors

Fuzzy logic

Image segmentation

Landsat

Temperature metrology

Imaging systems

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