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Marindah Yulia Iswari
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Biochemistry, Genetics & Molecular Biology Environmental Science Other

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DEMNAS: MODEL DIGITAL KETINGGIAN NASIONAL UNTUK APLIKASI KEPESISIRAN Marindah Yulia Iswari; Kasih Anggraini
OSEANA Vol 43 No 4 (2018)
Publisher : Pusat Penelitian Oseanografi LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/oseana.2018.Vol.43No.4.2

Abstract

DEMNAS : NATIONAL DIGITAL ELEVATION MODEL FOR COASTAL APPLICATION. DEM is a digital data which contain information about elevation. In Indonesia, DEM can be generated from elevation points or contours in RBI (Rupabumi Indonesia). DEM can be performed to research of coastal application i.e. inundation or tsunami. DEM can help to analyze vulnerability or evacuation zone for coastal hazards. DEMNAS is one product of BIG (Geospatial Information Agency) which consist of elevation data from remote sensing images. DEMNAS data has not been widely used and is still being developed but DEMNAS has an advantage of spatial resolution. DEMNAS has spatial resolution 0.27 arc-second, which is bigger than the spatial resolution of global DEM.
PENGINDERAAN JAUH UNTUK KAJIAN PESISIR Nurul Ihsan Fawzi; Marindah Yulia Iswari
OSEANA Vol 43 No 2 (2018)
Publisher : Pusat Penelitian Oseanografi LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/oseana.2018.Vol.43No.2.22

Abstract

REMOTE SENSING FOR COASTAL STUDIES. Coastal ecosystem is an ecological system that is important and the most productive area on earth. On the other hand, pressure on coastal ecosystems for human necessity cause decrease quality of coastal ecosystems. Utilization of coastal areas requires the proper management and suitable with objective. Good management requires appropriate information for decisionmaking. For spatial data, acquisition of information through remote sensing data is the best option. This paper will discuss the utilization of using remote sensing for coastal analysis. Coastal management requires information accurately and quickly to follow up issues or problems that growth up. Remote sensing has provided the capability to provide that information by translating information from digital number to thematic information. Regardless from the problem existing mapping method, utilization remote sensing in the future will be the main data on coastal management, especially in the monitoring and measurement of biophysical parameter in coastal areas.
MENGENAL SUHU PERMUKAAN LAUT DARI PENGINDERAAN JAUH Marindah Yulia Iswari
OSEANA Vol 42 No 4 (2017)
Publisher : Pusat Penelitian Oseanografi LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/oseana.2017.Vol.42No.4.72

Abstract

IDENTIFYING SEA SURFACE TEMPERATURE THROUGH REMOTE SENSING. Sea surface temperature is one of the physical parameters of oceanography that is useful to determine the water quality. Sea surface temperature can be observed using remote sensing technology. Remote sensing sensors must have a thermal infrared or a passive microwave to identify sea surface temperature. NASA's Ocean Color Web has provided sea surface temperature data processed by NASA's Ocean Biology Processing Group (OBPG) team. MODIS and VIIRS are remote sensing instruments used for sea surface temperature data on NASA's Ocean Color Web. The SST data provided in the form of data level 2 and level 3 are processed in daily, weekly, monthly and even yearly.
Co-Authors Kasih Anggraini Nurul Ihsan Fawzi