DETECTING THE SPATIAL DISTRIBUTION OF SETTLEMENTS ON VOLCANIC REGION USING IMAGE LANDSAT-8 OLI IMAGERY

. Suwarsono, M. Rokhis Khomarudin

Abstract

Geologically, Indonesia region is on track ring of fire, brings the consequence that the danger of volcanic eruption could occur at any time. Information sites where the settlement is located in the affected areas on emergency response process is needed in quick time. The availability of up to date data is important because it illustrates the actual condition of the region. Active volcanic landforms ranging from the crater to footslope in general is prone area to volcanic eruption, either by the threat of lava flows, pyroclastic falls, or lahars. This study aims to detect the spatial distribution of the settlement on volcanic region using Landsat-8 OLI. Parameters used for the detection of settlements is Normalized Difference Build-up Index (NDBI). Research methods include radiometric correction, delineation of the boundaries of volcanic landforms, NDBI value extraction, extraction of settlement areas, as well as the accuracy assesment.  Study area  is  Sinabung Volcano region located in the province of North Sumatera. Recently, the volcano experienced a devastating and catastrophic eruption. The results showed that the spatial distribution of settlements on volcanic landforms can be detected quickly from Landsat-8 OLI based on NDBI parameters with a sufficient degree of accuracy.

Keywords

Settlement; Volcanic Landforms; Sinabung Volcano; NDBI

Full Text:

PDF

References

As-syakur A., Adnyana IWS, Arthana IW, Nuarsa IW, (2012), Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area. Remote Sensing, 4:2957-2970.

Chen XL, Zhao HM, Li PX, Yin ZY, (2006), Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 104:133-146.

Jiang J., Zhou J., Wu H., Zhang H., Zhang L., Xu J., (2005), Land cover changes in the rural-urban interaction of Xi’an region using Landsat TM/ETM data. Journal of Geographical Sciences 15(4):423-430.

Koukoulas S., Blackburn GA, (2001), Introducing New Indices for Accuracy Evaluation of Classified Images Representing Semi-Nat ural Woodland Environments. Photogrammetric Engineering & Remote Sensing 67(4): 499-510.

Nasipuri P., Chatterjee A., (2009), A Quantitative Approach for Analyzing the Relationship between Urban Heat Islands and Land Cover. Remote Sensing (4):3596-3618.

Ogashawara I., Bastos VSB, (2012), A Quantitative Approach for Analyzing the Relationship between Urban Heat Islands and Land Cover. Remote Sensing 4:3596-3618.

Ritter FD, (1979), Process Geomorphology, Southern Illnuois Universityat Carbondale, Iowa: Brown Co. Publishers Duque.

Suwarsono, Khomarudin MR, (2014), Deteksi wilayah permukiman pada bentuklahan vulkanik menggunakan citra Landsat-8 OLI berdasarkan parameter Normalized Difference Build-up Index (NDBI). Prosiding Seminar Penginderaan Jauh 2014:345-356.

Thornbury WD, (1954), Principles of Geomorphology 2nded. New York: John Wiley & Sons, Inc.

Uddin S., Al Ghadban AN, Al Dousari A., Al Murad M., Al Shamroukh, (2010), A remote sensing classification for land-cover changes and micro-climate in Kuwait. International Journal of Sustainable Development Planning: 1-11.

USGS,http://landsat.usgs.gov/Landsat8_Using_Product.php,diakses pada 2013-06-01 jam 03:48 pm.

Xu H., Huang S., Zhang T., (2013), Built-up land mapping capabilities of the ASTER and Landsat ETM+ sensors in coastal areas of southeastern China. Advances in Space Research 52:1437-1449.

Zha Y., Gao J., Ni S., (2003), Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3): 583−594.

Zhang H., Du P., Luo Y., Liu P., (2008), Analysis of Relationship between Urban Thermal Pattern and Land Use/Land Cover-Taking Xuzhou City as an Example. Proceedings of Information Technology and Environmental System Sciences:1058-1062.

Zhang Y., Odeh LAO, Han C., (2009), Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis. International Journal of Applied Earth Observation and Geoinformation 11:256-264.

Zuidam RAV, (1985), Aerial Photo-Interpretationin Terrain Analysis and Geomorphologic Mapping, ITC Enschede, The Netherlands.

Refbacks

  • There are currently no refbacks.