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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
- Parwati
Pusat Pengembangan Pemanfaatan dan Teknologi Penginderaan Jauh
Computer Science & IT

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MODEL INDEKS TVDI (TEMPERATURE VEGETATION DRYNESS INDEX) UNTUK MENDETEKSI KEKERINGAN LAHAN BERDASARKAN DATA MODIS-TERRA - Parwati; - Suwarsono
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 5, (2008)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Drought occurs when there is a lack of water in particular area and is usually caused by less amount of rainfall over that particular area. The impact of drought in Indonesia is usually noticed in the agricultural land. For that reason, agricultural drought monitoring in near-real time is very important. The TVDI (Temperature Vegetation Dryness Index) method is used in this research for agricultural drought monitoring. The TVDI is holding the information on the amount of soil moisture at the earth’s surface. The index is calculated from the surface temperature and the vegetation index. In this research, the TVDI model was developed from the enhanced vegetation index (EVI) and the land surface temperature (Ts) in Riau and Central Kalimantan Province using the Terra-MODIS in the period of June – August from 2003 to 2006. The formula are : Riau TVDI = (LST – (5.1912 * EVI + 294.72))/(-15.701 * EVI + 13.98), and Central Kalimantan TVDI = (LST – (0.498 * EVI + 296.97))/(-12.272 * EVI + 10.87). The model was then applied for detecting agricultural drought in Jambi Province and overlayed with landuse from LANDSAT ETM+ 2002/2003. The result showed that the paddy, dryland agriculture and plantation area are more sensitive to drought than shrub/bush. The mean values of TDVI are 0.40 and 0.34 for dryland agriculture/ plantation and paddy area respectively, while the shrub/bush is only 0.18. Based on the TDVI class for high drought (0.6  TVDI ≤ 1), it can be shown that from the periode of June-August 2003-2006, the large area of drought occurred in paddy area, plantation, and dryland agriculture was around 8 % in August, while the drought in the forest and shrub/bush area was narrow around 3 % in August. Further research can be done in order to know the accuracy, the verification, and the validation. Key words: MODIS, TVDI, EVI, LST (Land Surface Temperature)
PENENTUAN HUBUNGAN ANTARA SUHU KECERAHAN DATA MTSAT DENGAN CURAH HUJAN DATA QMORPH - Parwati; - Suwarsono; Kusumaning Ayu DS; Mahdi Kartasamita
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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The relationship analysis between the brightness temperature from MTSAT-1R and the rainfall from Qmorph have been conducted in this research. The data used in this research are 240 data sets of MTSAT-1R and QMorph for ten days (1-10 February 2009, 00 – 23 UTC). The analysis is based on the MTSAT-1R spatial resolution (5 x 5 km) which covered 621 pixels for Bengawan Solo Water Catchment Area. The statistical analysis used are timeseries, regression-correlation analysis, and marginal analysis. The result showed that there is a significant correlation between the brightness temperature of MTSAT-1R data with the rainfall from QMorph data (r ≥ 0.80 or equal to R2 ≥ 0.65) for 66 % data or around 410 pixels. The brightness temperature tends to decrease with the higher rainfall, except for the Cirrus cloud which has a cooler temperature but not potential to become rain. Based on the marginal analysis of 410 pixels, we have found a power line regression between the QMorph rainfall (mm/hour) and the MTSAT cloud temperature (°K) with R2 = 0.9837. The equation is: Qmorph rainfall = 2. 1025 (MTSAT cloud temperature)-10.256. In order to increase the accuracy, the validation of QMorph data needs to be done by comparing the QMorph with other rainfall data sources and also taking the topography of area into consideration. Key word: Brigthness temperature, Rainfall, MTSAT, QMorph, Coefficient correlation, Marjinal Analysis
MODEL SIMULASI LUAPAN BANJIR SUNGAI CILIWUNG DI WILAYAH KAMPUNG MELAYU–BUKIT DURI JAKARTA, INDONESIA Fajar Yulianto; Muh Aris Marfai; - Parwati; - Suwarsono
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Jakarta is the biggest city in Indonesia located in the north-western of Java Island and between 5º59’–6º00’S and 106º30’–107º00’E. The total area is approximately 661,52 km2, and the population is more than 9 million in 2008. The occurrence of many flood in Jakarta had caused loss in properties, environmental degradations, and warsen communities health. A spatial approach model is applied to understand the effects of flood to land use in the research area. Objectives of the research are : 1) to create the hazard assessment model and 2) to calculate the impact of flood to the land use area. The methods consist of neighbourhood operation application development in the form of raster pixel calculation, in this case are the Digital Elevation Model values, by using mathematic calculation formula to assign the inundated area. Land uses, either the inundated or others, are the result of imagery data interpretations. Results of the research show that the simulation model represent the condition in the field when flood happened maximum scenario for inundation area of 2,00 m will affect to about 5,10 Ha (regular settlements); 80,82 Ha (irregular settlements); 2,22 Ha (open areas); 5,09 Ha (business areas); 40,39 Ha (office areas) and 18,83 (roads). Key words: Ciliwung flood, DEM, Iteration spatial model, GIS, Remote sensing
Co-Authors - Suwarsono Fajar Yulianto Kusumaning Ayu DS Mahdi Kartasamita Muh Aris Marfai