Title :
A study on the geomorphological change in tidal-flat using multisource remotely sensed data: a case study in the Gomso Bay, Korea
Author :
Ryu, J.H. ; Cho, W.J. ; Won, J.S.
Author_Institution :
Dept. of Earth Syst. Sci., Yonsei Univ., Seoul, South Korea
Abstract :
Detection and measurement of terrain and surface sediment distribution changes for tidal flats are important to make an integrated coastal area management plan. The use of satellite imagery gives the advantages of being able to detect two-dimensional coastline and geomorphologic structures over large areas. The MSP-RoA (maximum strength edge pruning ratio of average) method has been tested on Landsat TM band 4 to extract coastline of sea-tidal flat-land and to detect geomorphological structures. The difficulties in SAR application to the coastal region are associated with the nature of the signal return from the sea and land. However, coherence information can be exploited to determine the land/sea boundary since the sea is highly nonstationary as opposed to the land. The authors can generate coarse intertidal DEMs using a coastline extraction method for multisource and multi-temporal remotely sensed data. The objective of this study is to detect coastline and geomorphological structures using MSP-RoA edge detector and to generate intertidal DEMs using coastline extracted from optical and microwave remotely sensed data at short period. Geomorphological structures and DEMs extracted from the coastline are also compared to types of sediments and leveling data derived from in situ measurements
Keywords :
geomorphology; remote sensing by radar; sediments; terrain mapping; 2D coastline structures; 2D geomorphologic structures; Geomorphological structures; Gomso Bay; Korea; Landsat TM band 4 data; SAR application; case study; coastal area management plan; coastline extraction method; coherence information; edge detector; geomorphological change; intertidal digital elevation models; land/sea boundary; levelling data; maximum strength edge pruning ratio of average method; microwave remotely sensed data; multisource multitemporal remotely sensed data; multisource remotely sensed data; optical and microwave remotely sensed data; satellite imagery; sediments; surface sediment distribution changes; terrain; tidal flats; Area measurement; Data mining; Image edge detection; Microwave generation; Remote sensing; Satellites; Sea measurements; Sea surface; Sediments; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.858158