Claim Missing Document
Check
Articles

Found 3 Documents
Search

PENENTUAN NILAI AMBANG BATAS UNTUK POTENSI RAWAN BANJIR DARI DATA MTSAT DAN QMORPH (STUDI KASUS: BANJIR BENGAWAN SOLO 2007) Parwati, Parwati; Suwarsono, Suwarsono; Yulianto, Fajar; Suprapto, Totok
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 5 No. 1 (2008)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v5i1.3237

Abstract

The relationship between the cloud top temperature from MTSAT-1R and the rainfall from QMorph data in Bengawan Solo water catchment area have been analyzed in this research. The analysis was done using data during 21 – 30 December, 2007 (00 – 23 UTC) for 240 data sets. The result shows that the cloud top temperature which have been potential to be high rain is around 195° - 235° K, whereas the cloud top temperature is greater than 235° K related to the low rainfall. Meanwhile, there was a logarithmic relationship between the rainfall from QMorph data and the cloud top temperature of MTSAT-1R (infrared 1 channal) with the coefficient correlation 0.78. The threshold of the cloud top temperature for the flash flood in Bengawan Solo is lower than 215° K at least lasting for 4 days. The heavy rainfall which occured intensively could be a triggered for the flood disaster around Bengawan Solo water catchment area.
PEMANFAATAN DATA MODIS UNTUK IDENTIFIKASI DAERAH BEKAS TERBAKAR (BURNED AREA) BERDASARKAN PERUBAHAN NILAI NDVI DI PROVINSI KALIMANTAN TENGAH TAHUN 2009 Suwarsono, Suwarsono; Yulianto, Fajar; Parwati, Parwati; Suprapto, Totok
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 6 No. 1 (2009)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v6i1.3244

Abstract

Land and forest fire are the natural disasters that often occur in Indonesian regions, especially Sumatera and Kalimantan. The disasters cause deep impacts to environments and human beings, so it is necessary to conduct mitigation. The research area took place in Central Kalimantan Province. The objective of the research is to applicate the MODIS remote sensing imagery for supporting the land and forest fire mitigation efforts, that is identifying the burned area. The analyzing is done by using methods of NDVI changes before and after land and forest burned periods in 2009. The stages of the research consist of; fire hotspot frequency analyzing, NDVI changes calculation, threshold of NDVI changes establishing, and burned area estimation based on the threshold result. The results of the research show that the burned area in Central Kalimantan can be identified by using MODIS based on NDVI changes. The total numbers of burned area in 2009 are 122.900 hectares, most of them occurred in Pulangpisau, Kapuas, Katingan and Kotawaringin District. The results are needed to be verified in the next further research based on the field survey and or by using the high resolution imageries such as Landsat, SPOT-2 or 4, ALOS, Ikonos or Quickbird.
DETEKSI GEJALA ERUPSI STROMBOLIAN GUNUNGAPI RAUNG JAWA TIMUR MENGGUNAKAN NORMALIZED THERMAL INDEX DARI DATA MODIS Suwarsono, Suwarsono; Hidayat, Hidayat; Suprapto, Totok; Yulianto, Fajar; Sari, Nurwita Mustika; Parwati, Parwati; Asriningrum, Wikanti
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3315

Abstract

Geologically, most of Indonesia is located on subduction zone of the Pacific ring of fire that causes many emerging active volcanoes. The existence of active volcanoes has an implications that the volcanic eruption could occur at any time. This study aims to detect the precursors of volcanic eruption by using parameters NTI (Normalized Thermal Index) derived from MODIS data. Volcanic object selected is Raung Volcano in East Java, where around June to July 2015 showed an increase in volcanic activity and was erupted. Data processing method includes processing of Landsat-8 for the determination of the area of interest (caldera and active crater), MODIS image processing for NTI measurement, and analysis of spatial and temporal patterns of NTI. The results showed that the precursors of a volcanic eruption can be detected from the increasing of the NTI value in the kaldera and its value which relatively higher than in the surrounding area. NTI parameters have proven to have a good ability to distinguish between the kaldera and other objects during eruption period. In case of Raung Volcano, NTI value = 0.06 can be applied as a threshold value for the eruption of this volcano.