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All Journal International Journal of Remote Sensing and Earth Sciences (IJReSES) The International Journal of Remote Sensing and Earth Sciences (IJReSES)
M. Rokhis Khomarudin
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Earth & Planetary Sciences

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ESTIMATION OF AIR TEMPERATURE USING REMOTE SENSING BASED ON THERMAL DIFFUSIVITY APPROACH M. Rokhis Khomarudin; Ahmad Bey; Idung Risdiyanto
International Journal of Remote Sensing and Earth Sciences Vol. 3 (2006)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2006.v3.a1203

Abstract

The measurement of air temperature usually used thermometer in the meteorology or climate station under Bureau of Meteorology and Geophysics. In Indonesia, there are some limitations in air temperature measurement and then they could not provide the spatial high resolution information. The measurement of air temperature is very important for analyzing the human comfort, photosynthesis, and vegetation growth which we need saome details spatial information. However, when data were sparse, the underlying assumptions about the variation among sampled points often differed and the choice of interpolation method and parameters then became critical. Often though data may be too sparse to use any of the interpolation methods, alternate ways to derive spatially representative values of air temperature need to researched. The data that could provide spatial information are remote sensing. The objective of this research is to estimate air temperature using remote sensing data (NOAA/AVHRR and LANDSAT/TM), based on thermal diffusivity approach. The steps of this research include the calibration of surface temperature, the determination of amplitude, and the estimation of air temperature. Based on this research, the best equation to calculate surface temperature from NOAA AVHRR is Ulivieri et al equation. This equation shows the higher correlation between surface temperatures from NOAA/AVHRR and the observation in the field than the other equation. Physically, this research could estimate air temperature from satellites data, but statistically, this research has not enough significancy to describe the field observation.
DERIVATION OF POPULATION DISTRIBUTION BY COMBINING CENSUS AND LANDUSE DATA: AS AN INPUT FOR TSUNAMI RISK AND VULNERABILITY ASSESSMENT M. Rokhis Khomarudin; Gunter Strunz; Joachim Post; Kai ZoBeder; Ralf Ludwing
International Journal of Remote Sensing and Earth Sciences Vol. 6 (2009)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2009.v6.a1238

Abstract

Information on population distribution is crucial in distater risk management. Every disaster such as flood, drought, volcanic eruption, storm, earthquake and tsunamis implies theats to people with respect to loss of live, injury, and misery. Therefore, the information on detailed population distribution in the disaster or hazard zone is important in order to mitigate the impact of natural disasters. Moreover, accurate information on people exposure will help the goverment to improve the evacuation planning and to decrease the amount of people at risk. The available information on population distribution is mostly based on statistical data related to administrative boundaries, e.g. village, municipal, district, province, or national level. Within the border of adsministrative boundaries, the population is assumed to be distributed homogeneously within each unit area, even in the part of uninhabited areas e.g. lakes, forest, swamps, and areas with high slopes. Hence, this research focuses on the improvement of the available data on population distribution for the area along the west coast of Sumatera, south coast of Java and Bali. The results were used as an input for the tsunami risk assessment in the framework of the German-Indonesia Tsunami Early Warning System (GITEWS) project. Keyword: People distribution, spatial improvement, tsunami, remote sensing and GIS.
Co-Authors . Hidayat . Parwati . Suwarsono . Wiweka Agung Indrajit AHMAD BEY Dini Oktavia Ambarwati Gunawan Prabowo Gunter Strunz Hana Listi Fitriana Hidayat Idung Risdiyanto Indah Prasasti Jalu Tejo Nugroho Joachim Post Kai ZoBeder M. Priyatna Nanik Suryo Haryani Nanik Suryo. Haryani nFn suwarsono Parwati Ralf Ludwing Suwarsono Wiweka Yenni Vetrita