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Articles | Volume XXXIX-B8
https://doi.org/10.5194/isprsarchives-XXXIX-B8-175-2012
https://doi.org/10.5194/isprsarchives-XXXIX-B8-175-2012
28 Jul 2012
 | 28 Jul 2012

YANGON RIVER GEOMORPHOLOGY IDENTIFICATION AND ITS ENVIROMENTAL IMAPACTS ANALSYSI BY OPTICAL AND RADAR SENSING TECHNIQUES

A. Lwin and M. M. Khaing

Keywords: Fluvial, Sedimentology, LULC, Hydrologic process, Environmental impacts

Abstract. The Yangon river, also known as the Rangoon river, is about 40 km long (25miles), and flows from southern Myanmar as an outlet of the Irrawaddy (Ayeyarwady) river into the Ayeyarwady delta. The Yangon river drains the Pegu Mountains; both the Yangon and the Pathein rivers enter the Ayeyarwady at the delta. Fluvial geomorphology is based primarily on rivers of manageable dimensions. The emphasis is on geomorphology, sedimentology of Yangon river and techniques for their identification and management. Present techniques such as remote sensing have made it easier to investigate and interpret in details analysis of river geomorphology. In this paper, attempt has been made the complicated issues of geomorphology, sedimentation patterns and management of river system and evolution studied. The analysis was carried out for the impact of land use/ land cover (LULC) changes on stream flow patterns. The hydrologic response to intense, flood producing rainfall events bears the signatures of the geomorphic structure of the channel network and of the characteristic slope lengths defining the drainage density of the basin. The interpretation of the hydrologic response as the travel time distribution of a water particle randomly injected in a distributed manner across the landscape inspired many geomorphic insights. In 2008, Cyclone Nargis was seriously damaged to mangrove area and its biodiversity system in and around of Yangon river terraces. A combination of digital image processing techniques was employed for enhancement and classification process. It is observed from the study that middle infra red band (0.77mm – 0.86mm) is highly suitable for mapping mangroves. Two major classes of mangroves, dense and open mangroves were delineated from the digital data.