The objective of this study is to produce an automated
micro-landform map of an alluvial plain by combining land
surface parameters (LSPs) from Shuttle Radar Topographic
Mission Digital Elevation Model (SRTM DEM) and land
cover characteristics from satellite images (Landsat and
ASTER) for further flood hazard assessment. Local relief
and average elevation from SRTM DEM are designated as
LSPs. In addition, channel network is extracted by using
multiple Landsat images and r.param.scale function.
Modified Normalized Difference Water Index (MNDWI) by
Landsat in rainy season can help to separate non-water
areas from water and moist surface by determining
thresholds. Land cover features are obtained by
unsupervised classification by the ISODATA method.
Micro-landform units of automated micro-landform map
are also classified based on relative position of objects. A
case study is conducted in the alluvial plain of the Thu Bon
– Vu Gia river, central Vietnam