Almaas, Neysa Amadea (2024) Analisis Korelasi Antara Sebaran Daerah Bencana Longsor dan Nilai Kerapatan Vegetasi Menggunakan Citra Sentinel 2A dengan Metode NDVI (Studi Kasus : Kab. Pacitan). Other thesis, Insititut Teknologi Sepuluh Nopember.
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Abstract
Tanah longsor adalah suatu peristiwa geologi yang terjadi karena pergerakan massa batuan atau tanah dengan berbagai tipe dan jenis seperti jatuhnya bebatuan atau gumpalan besar tanah. Tanah longsor dapat terjadi karena adanya gangguan kestabilan pada tanah dan batuan penyusun lereng. Beberapa faktor yang dapat memicu terjadinya tanah longsor antara lain meningkatnya intensitas hujan, lereng terjal, tanah kurang padat serta tebal, terjadinya pengikisan, dan berkurangnya tutupan vegetasi. Kerapatan vegetasi memiliki pengaruh yang cukup signifikan terhadap potensi terjadinya tanah longsor. Vegetasi yang cukup dan sehat dapat berperan sebagai faktor mitigasi alami untuk mengurangi risiko tanah longsor. Ada beberapa jenis tanah longsor, seperti longsor jatuh bebas, longsor translasi, longsor rotasi, rayapan tanah, dan aliran bahan rombakan. Menurut BMKG, Kabupaten Pacitan, yang terletak di Provinsi Jawa Timur, Indonesia, adalah salah satu daerah yang rawan terhadap bencana longsor karena topografi pegunungannya. Longsor di Kabupaten Pacitan dapat disebabkan oleh sejumlah faktor, termasuk curah hujan yang tinggi, erosi, geologi daerah tersebut, dan aktivitas manusia. Dalam penelitian ini, digunakan metode dengan Indeks Vegetasi Normalized Difference Vegetation Index (NDVI) menggunakan citra Sentinel-2A dan beberapa parameter longsor lainnya seperti kemiringan lereng. Hasilnya berupa peta daerah rawan longsor serta analisis terkait korelasi antara bencana longsor dan nilai kerapatan vegetasi Kabupaten Pacitan. Berdasarkan hasil analisisnya, Kecamatan Kebonagung merupakan daerah yang memiliki tingkat rawan longsor tinggi, dibuktikan oleh data kejadian longsor pada tahun 2023 dengan korban jiwa sebanyak 12 orang
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A landslide is a geological event that occurs due to the movement of masses of rock or soil of various types and types, such as falling rocks or large lumps of soil. Landslides can occur due to disturbances in the stability of the soil and rocks that make up the slope. Several factors that can trigger landslides include increased rain intensity, steep slopes, less dense and thick soil, erosion, and reduced vegetation cover. Vegetation density has a significant influence on the potential for landslides to occur. Sufficient and healthy vegetation can act as a natural mitigation factor to reduce the risk of landslides. There are several types of landslides, such as free fall landslides, translational landslides, rotational landslides, earth creep, and debris flows. According to BMKG, Pacitan Regency, which is located in East Java Province, Indonesia, is one of the areas prone to landslides due to its mountainous topography. Landslides in Pacitan Regency can be caused by a number of factors, including heavy rainfall, erosion, the geology of the area, and human activity. In this research, the Normalized Difference Vegetation Index (NDVI) method was used using Sentinel-2A imagery and several other landslide parameters such as slope slope. The results are a map of landslide-prone areas as well as an analysis of the correlation between landslide disasters and vegetation density values in Pacitan Regency. Based on the results of the analysis, Kebonagung District is an area that has a high level of landslide risk, as evidenced by data on landslides in 2023 with 12 fatalities
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Tanah Longsor, Kerapatan Vegetasi, Sentinel 2A, NDVI, Landslide, Vegetation Density, Sentinel 2A, NDVI |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Neysa Amadea |
| Date Deposited: | 13 Aug 2024 02:29 |
| Last Modified: | 29 Aug 2024 06:28 |
| URI: | http://repository.its.ac.id/id/eprint/114823 |
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