Remote Sensing Data Integration of Landsat 8 and SRTM for Geomorphological Characteristics Identification in Karst Pringkuku, Pacitan, East Java
| Autor: | Amien Widodo, Widya Utama, Silmi Afina Aliyan, Ayi Syaeful Bahri |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
geography
geography.geographical_feature_category General Computer Science Lineament Landform 020209 energy General Engineering Sampling (statistics) 02 engineering and technology Shuttle Radar Topography Mission Karst 020401 chemical engineering Ridge Remote sensing (archaeology) 0202 electrical engineering electronic engineering information engineering 0204 chemical engineering General Agricultural and Biological Sciences Structural geology Geomorphology Geology |
| Zdroj: | International Journal on Advanced Science, Engineering and Information Technology. 10:212 |
| ISSN: | 2460-6952 2088-5334 |
| Popis: | Pringkuku is one of the transition areas where the morphology of karst began to develop toward the western part of Gunung Sewu Karst region. The purpose of this research is to identify the landform unit in Pringkuku’s Karst as the result of geomorphological processes recorded by Landsat 8 image and SRTM image. The research was conducted by analyzing and dividing the landform units based on landform parameters such as flow patterns, slope forms, valley forms, and ridge patterns. Structural geology data such as a strike of joints and direct rock sampling are also used as the supporting data. The developing flow patterns are the multi-basinal and rectangular patterns in the western and eastern parts of the area respectively. Inferred from the analysis of joints pattern and stream lineament, the rectangular pattern is in direction NW - SE and NE – SW. The results of this research are two units of karst and structural landform, which are structural limestone hill unit in the eastern part of the area with 68.18% of spreading area of the total extent and conical limestone hill unit in western part of the area with spreading area of 31,82%. |
| Databáze: | OpenAIRE |
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