HEIGHT MODEL INTEGRATION USING ALOS PALSAR, X SAR, SRTM C, AND ICESAT/GLAS

Atriyon Julzarika

Abstract

The scarcity of height models is one of the important issues in Indonesia. ALOS PALSAR, X SAR, SRTM C, and ICESAT/GLAS are free available global height models. Four data can be integrated the height models. Integration takes advantage of each characteristic data. The spatial resolution uses ALOS PALSAR. ICESAT/GLAS has a minimal height error because it is DTM. SAR has advantages of minimal error in the highland and need a low pass filter on the lowland. DSM uses X SAR and DEM from ALOS PALSAR. Characteristics and penetration of vegetation objects can be seen from the wavelength type of SAR data. This research aims to make height model integration in order to get the vertical accuracy better than vertical accuracy of global height models and minimum height error. The study area is located in Karo Regency. The first process is to crop the height models into Karo Regency, geoid undulation correction using EGM 2008. The next step is to detect pits and spires by using radius value 1000 m and depth +1.96σ (+5 m) with uncertainty 95,45%. Then generate HEM and height model integration. To know the accuracy of this height model, 100 reference points measured using GNSS, altimeter, and similar point observed on the height model integration are selected. The accuracy test covers RMSE, accuracy (z), and height difference test. The result of this study shows that the height model integration has a vertical accuracy in 1.14 m. This height model integration can be used for mapping scale 1: 10.0000.

Keywords

integration; height model; SAR data; scale 1:10.000

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References

Aguilar MA, Aguilar FJ, Saldaña M., Fernández I., (2012), Geopositioning Accuracy Assessment of GeoEye-1 Panchromatic and Multispectral imagery. Photogrammetric Engineering and Remote Sensing, 78 (3): 247-257.

Bhardwaj A., Chatterjee RS, Jain K., (2013), Assimilation of DEMs Generated from Optical Stereo and InSAR Pair Through Data Fusion. Science Research 1(3): 39-44. Published online June 30, 2013, (http://www.sciencepublishinggroup.com/j/sr).

Deilami K., Hashim M., (2011), Very High Resolution Optical Satellites for DEM Generation: A Review. European Journal of Scientific Research, 49(4): 542-554.

DLR, (2003), SRTM DTED Format. German Aerospace Center. Germany.

DLR, (2010), SRTM-DLR. German Aerospace Center. Germany.

Forkuor G., Maathuis B., (2012), Comparison of SRTM and ASTER Derived Digital Elevation Models over Two Regions in Ghana. Implications for Hydrological and Environmental Modeling. In Studies on Environmental and Applied Geomorphology; Piacentini, T., Ed.; InTech: Rijeka, Croatia; 219–240.

Forkuor G., Conrad C., Thiel M., Ullmann T., Zoungrana E., (2014), Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa. Remote sensing 6(7):6472-6499.

Freeden W., Nashed MZ, Sonar T., (2010), Handbook of Geomathemathic. Springer.

Honikel M., (1998), Fusion of Optical and Radar Digital Elevation Models in the Spatial Fequency Domain, Workshop ESTEC.

Gesch D., (2005), Vertical Accuracy of SRTM Data of the Accuracy of SRTM Data of the United States: Implications for Topographic Change Detection, SRTM Data Validation and Applications Workshop.

Hoja D., d’Angelo P., (2010), Analysis Of Dem Combination Methods Using High Resolution Optical Stereo Imagery And Interferometric SAR Data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, XXXVIII(1).

Hoja D., Reinartz, Schroeder, (2006), Comparison of Dem Generation And Combination Methods Using High Resolution Optical Stereo Imagery And Interferometric SAR Data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science XXXVI(1).

JAXA, (2006), Annual Report 2005, EORC Bulletin, No. 9, March 2006. Tokyo. Japan.

Jones CB, (2013), Geographical Information Systems and Computer Cartography. Routletge. New York. Amerika Serikat.

Julzarika A., Sudarsono B., (2009), Differential of Digital Surface Model (DSM) into Digital Elevation Model (DEM) of the ALOS PALSAR. Journal of Teknik University of Diponegoro. Semarang. Indonesia.

Julzarika, (2011a), Teknik Koreksi Bull Eye’s (Bull Eye’s Correction Technique). GeoSARNas. Bogor.

Julzarika, (2011b), Kajian Penghitungan Volume Hutan Menggunakan Model 3D dari Data Radar Berbeda Band Dan Koreksi Terrain Model 3D dari Data Radar Satu Band (Study of Forest Volume Calculation Using a 3D Model from different band of radar data and terrain correction from one band of radar data). GeoSARNas. Bogor.

Knopfle W., Strunz G., Roth A., (1998), Mosaiking of Digital Elevation Models Derived by SAR Interferometry. IAPRS, 32(4) Stuttgart, Germany.

Kolecka N., Kozak J., (2013), Assessment of the Accuracy of SRTM C- and X-Band High Mountain Elevation Data: A Case Study of the Polish Tatra Mountains. Pure Appl. Geophys.171(6): 897-912 doi: 10. 1007/ s00024-013-0695-5.

Li Z., Zhu Q., Gold C., (2005), Digital Terrain Modeling Principles and Methodology. CRC Press. Florida. USA.

Miliaresis G., Paraschou C., (2005), Vertical Accuracy of the SRTM DTED level 1 of Crete. International Journal Application Earth Observation Geoinformation 7(1): 49–59.

Mitchell G., MacNabb K., (2010), High Resolution Stereo, Satellite Elevation Mapping Accuracy Assessment, In: Proceedings of the 2010 Annual ASPRS Conference, San Diego, California, 26-30 April.

Mukherjee S., Joshi PK, Ghosh A., Garg RD, Mukhopadhyay A., (2013), A. Evaluation of vertical accuracy of open source Digital Elevation Model (DEM). International. Journal. Application. Earth Observation. Geoinformation 21: 205–217.

NASA, (2005), An Assessment of the SRTM Topographic Products. NASA. USA.

NASA, (2011), ICESAT 2. NASA Goddard Space Flight Center. 26 October 2011. Retrieved 2011-11-05.

Petrie G., Kennie T., (1987), An Introduction to Terrain Modeling: Applications and Terminology. University of Glasgow.

Rexer M., Hirt C., (2014), Comparison of Free High Resolution Digital Elevation Data Sets (ASTER GDEM2, SRTM v2.1/v4.1) and validation against accurate heights from the Australian National Gravity Database. Aust. Journal. Earth Science 61:213–226.

Saldaña MM, Aguilar MA, Aguilar FJ, Fernández I., (2012), DSM Extraction and evaluation from geoeye-1 stereo imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol I-4, 2012 XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia.

Sidek O., Quadri S., (2012), A Review of Data Fusion Models and Systems. International Journal of Image and Data Fusion, 3(1): 3-21.

Trisakti, Julzarika, (2010), Pengembangan Metode Penggabungan Data DEM SRTM, ALOS Prism, dan Peta Topografi (Developing method of integration DEM SRTM, ALOS Prism, and Topography Map). PKPP. Kemenristek.

Uotila UA, (1985), Adjustment Computations Notes, Department of Geodetic Science and Surveying The Ohio State University, Ohio.

Vanicek P., Krakiwsky E., (1986), Geodesy, the concepts. North-Holland, Amsterdam, NY, Oxford, Tokyo. Yastikh et al., 2006. Accuracy and Morphological Analyses of GTOPO30 and SRTM X-C band DEMS in the Test Area Istambul, ISPRS Workshop, Ankara.

Zhao C., Zhang Q., Yin Y., Lu Z., Yang C., Zhu W., Li B., (2013), Pre-, co-, and Post-Rockslide Analysis with ALOS/PALSAR Imagery: a Case Study of the Jiweishan Rockslide, China. National Hazards Earth System Science 13: 2851–2861.

Zimmerman DL, Cressie N., (1992), Mean squared prediction error in the spatial linear model with estimated covariance parameters. Annuals of the Institute of Statistical Mathematics 44: 27-43.

DOI: http://dx.doi.org/10.30536/j.ijreses.2015.v12.a2691

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