PEMANFAATAN TEKNOLOGI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS SPASIAL TINGKAT KEKERINGAN WILAYAH KABUPATEN TUBAN

Authors

  • Bangun Muljo Sukojo Departemen Teknik Geomatika
  • Muhharama Putra Prayoga ITS Surabaya

Keywords:

Tuban Regency, Drought, Remote Sensing, Geographic Information System

Abstract

Tuban Regency is one of the districts in East Java which is a drought-prone area. Based on the Indonesian Disaster Risk Index (IRBI) data released by the Disaster Management Agency (BNPB) in 2013, Tuban received a score of 24 for the drought disaster risk index, which scores are categorized as high risk for drought.

The purpose of this research is to know the distribution of drought risk areas in Tuban Regency by utilizing remote sensing data integrated with the physiographic condition of the region that affect the drought which is then grouped into 5 classes of drought levels, namely: very low, low, medium, high, and very high . The data required in this study are: Normalized Different Vegetation Index (NDVI) map, Normalized Different Water Index (NDWI) map, Land Surface Temperature (LST) map, average rainfall map, hydrogeological map, and land use map.

From the data processing, it is found that most of the area in Tuban Regency is categorized into a high drought category of 119,388.50 hectares or 60.60% of the total area, while the lowest is the very low drought category that is only 180.48 hectares or 0.09 % of total area.

 

Keywords: Tuban Regency, Drought, Remote Sensing, Geographic Information System.

Author Biographies

Bangun Muljo Sukojo, Departemen Teknik Geomatika

Departemen Teknik Geomatika

Muhharama Putra Prayoga , ITS Surabaya

never give up

References

BNPB. 2013. Indeks Rawan Bencana. Jakarta: Badan Nasional penanggulangan Bencana.

Jamil, Dzulfikar Habibi. Tjahjono, Heri. Parman, Satyanta 2013. Deteksi Potensi Kekeringan Berbasis Penginderaan Jauh Dan Sistem Informasi Geografis Di Kabupaten Klaten. Jurnal, 30-37. Semarang : Fakultas Ilmu Sosial, Universitas Negeri Semarang.

Abidin, H. Z., 2002. Survei dengan GPS. Jakarta : Pradnya Paramita Soenarmo, S. H., 2009. Penginderaan Jauh dan Pengenalan Sistem Infromasi Geografi Untuk Bidang Ilmu Kebumian, Institut Teknologi Bandung (ITB).

Purwadhi, Sri Hardiyanti.2001. Interpretasi Citra Digital. Jakarta: PT Gramedia Widiasarana.

Northrop, A. (2015). IDEAS – LANDSAT Products Description Document. United Kingdom: Telespazio VEGA UK Ltd.

Rudjord, O. and O.D. Trier. 2012. Evalua-tion of FLAASH atmospheric cor-rection. Norwegian Computer Centre. Norwegian. 24p.

Kementrian Kehutanan, 2012. Peraturan Menteri Kehutanan Republik Indonesia Nomor : P.12/Menhut-Ii/2012, Tentang Tata Cara Penyusunan Rencana Teknik Rehabilitasi Hutan Dan Lahan Daerah Aliran Sungai (Rtk Rhl-Das), Jakarta : Kemenhut

Sugiyono. 2007. Metode Penelitian Administrasi. Bandung : Alfabeta

Haikal, Teungku. 2014. Analisis Normalized Difference Wetness Index (Ndwi) Dengan Menggunakan Data Citra Landsat 5 Tm (Studi Kasus : Provinsi Jambi Path/Row : 125/61). Skripsi. Bogor : IPB.

Fersely. 2007. Identifikasi Indikator Kekeringan menggunakan teknik Penginderaan Jauh. Artikel Skripsi. Bogor: IPB.

Tjahjono, Heri. 2008. Analisis Potensi Wilayah. Semarang: Unnes.

Downloads

Published

2024-07-02

How to Cite

Sukojo, B. M. ., & Prayoga , M. P. . (2024). PEMANFAATAN TEKNOLOGI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS SPASIAL TINGKAT KEKERINGAN WILAYAH KABUPATEN TUBAN. GEOID, 13(1), 85–92. Retrieved from https://journal.its.ac.id/index.php/geoid/article/view/1554

Issue

Section

Articles