Detail Abstract

Analysis of Change Detection and Zonal Statistics of Land Use Land Cover on Mainland Southeast Asian Lake Basins utilizing MODIS and CCI Land Cover Datasets

MeetingVIWC2026
TopicOS14: Climate change impacts and SEA lakes ecosystems
AuthorAung Chit Moe
OrganizationRemote Sensing and Geographic Information Systems, School of Engineering and Technology, Asian Institute of Technology
DOI2022.1663174030

Abstract

Lakes in Southeast Asia provide wide range of ecosystem services and are a vital natural resource for a variety of uses, including water supply, manufacturing, farming, transportation, aquaculture, and recreational activities. It has been shown that they are extremely susceptible to the risk posed by environmental and climate change. The Southeast Asian region has already been severely affected by the impact of climate change, and those effects will only increase and worse as the rate of climate change accelerates. Studies conducted within the Climate Change Risk Assessment for Southeast Asian Lakes (CCRASEAL) project, are attempting to measure current and future climatic patterns, evaluate spatial and temporal lake changes and link that to threats, estimate climate change risk in lakes and other areas in the future, and improve multi-threat approach in climate change impact assessment on mainland Southeast Asian lakes into decision making processes.</br>   With relation to these perspectives, land use and land cover change detection analysis becomes crucial in establishing a quantitative and analytical framework for the anthropogenic impact assessment coupled with current and projected climate on mainland Southeast Asian lakes. In this study we present preliminary analysis on major LULC changes occurred in main lake river basin across whole Southeast Asia. The assessment is conducted by using and comparing different LULC time series dataset.

Keywords: climate change effects, Southeast Asia, lake basins, remote sensing, land use land cover, change detection, zonal statistics, global datasets