8, 2012 
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
In Figure 8, Shuttle Range Topographic Mission (SRTM) data 
was prepared for shaded and relief map for terrain conditions. 
This study area is almost flat and fluvial flood plains. The 
product generated from SRTM data to topographic analysis is 
important for descriptions of soil contacts and structural 
features. The perspective of the relief, through the simulations 
of different angles of illuminations, gave the shadow of the 
relief, giving the impression of concavity and convexity, 
allowing the identification of structural features, soil contacts, 
erosion zones and other geomorphological features of the study 
area. 
4.3. Gemorphological Map generation 
  
   
   
  
   
   
  
  
; River Esturine Channel 
  
Fluvial Flood Plain (Low) 
: Fluvial Flood Plain (Mode 
Degraded Mangroove Area 
  
96.1 96.2 
Figure 9. Geomorphological Map of Yangon river in and 
around area. 
The landform classification system is based on geomorphologic 
principles, i.e., classification on the basis of landforms, and the 
dominant processes in operation related to historical processes. 
Additional factors, including land use and land cover, were also 
used for classification. The final geomorphological map is 
presented in Figure 9. Integration of both optical and radar data 
was implied for geomorphic landform mapping, in details of 
terrain conditions, manmade features and lanuse land cover 
around Yangon river bed and around Coastal flood plain 
terraces. 
5. CONCLUSION 
The contribution of TM band 4 was related to the 
discrimination of dense mangrove forest from secondary 
vegetation of the coastal plateaus, whose spectral response is 
mixed with exposed soil produced by human activity and 
disaster affected. The JERS-1 SAR data have contributed to the 
enhancement of distinct coastal vegetation height, geometry, 
Water content, and degraded and regenerating mangrove 
Tegions. The Multi temporal SAR product was fundamental in 
providing consistent information about the  geo-botany 
(vegetation and coastal sedimentary environment relationship) 
and emerged and submerged coastal geology that cannot be 
accomplished from field investigations alone.. 
6. REFERENCES 
References from Books: 
Bushnell, T.M et al., 1955. Air Photo Analysis. Newyork, USA 
p.p 12-13 
Garde, R.J., 2005. River Morphology. New Age International 
Publisher, India, p.p 71-72. 
Lecture Notes, Geosciences Division, Indian Institute of 
Remote Sensing, India, p.p 103-104. 
References from Other Literature: 
Aung Lwin, R. S Chatterjee and Myint Myint Khaing, 2010. 
Analysis of Change Detection on Coastline using ERS SAR 
tandem pair. Myanmar Engineering Society Annual 
Conference, Yangon, Myanmar 
Kyaw Htun. 1996. Sedimentology and Petrography of South- 
Western Part of Thadugan, Shwe Pyi Tha Township, M. Phil. 
Paper, Geology Department, Yangon University, Myanmar 
Pedro Walfir M. Souza Filho and Waldir Renato Paradella 
2005. Use of RADARSAT-1 fine mode andLandsat-5 TM 
selective principal component analysis for geomorphological 
mapping in a macrotidal mangrove coast in the Amazon Region 
Can. J. Remote Sensing, Vol. 31, No. 3, pp. 214-224, 
Tint Lwin Swe, 2004. Determination of Peak Ground 
Acceleration for Yangon and Its Surrounding Areas. Staff 
Report, Yangon Technological University, Myanmar. 
Win Naing. 1972. The Hydrogeology of the Greater Rangoon, 
M. Sc. Thesis, Geology Department, University of Rangoon. 
Myanmar 
7. ACKNOWLEDGED 
The authors would like to thank the National Space 
Development Agency of Japan (NASDA). In the case of JERS- 
1 SAR data and ADEOS/AVNIR imagery were kindly provided 
by the Ministry of International Trade and Industry of Japan 
(MITI) and NASDA for research purposes. 
Special thanks are extended to USGS, Google Earth and Global 
Land Cover Facilities (GLCF) Teams for free provision of 
Landsat 7 ETM- Imagery and SRTM images. In many depth 
are due to my colleagues from Remote Sensing Department, 
Mandalay Technological University, Mandalay for their kind 
patience and encouragement to finish this work.