TY - GEN
T1 - Detecting flooded location using SAR data and assessment of post-flooded condition
AU - Lee, Moungjin
AU - Jeon, Seongwoo
AU - Myoung, Soojyoung
AU - Won, Juongsun
PY - 2008
Y1 - 2008
N2 - The aim of this study is to detect flooded location using SAR data and assessment of post-flooded conditions using a Geographic Information System (GIS) and SAR (Synthetic Aperture Radar) data images. The temporal characteristics of radar response form flooded were analyzed throughout the 2002summer flooded season. Flooded locations were identified by change detection technique of RADARSAT SAR data images. Multiple scenes of Radarsat SAR images were acquired before, during, and after the flood inundation. From the interpretation of colour composite imagery of the multi-temporal SAR data, as well as from the temporal profiles of radar backscatter, seven types of Landcover were separable according to flooded and post-flooded recovery conditions. Landover map of 2000.07 was classed 7 categories by water, urban, bare ground, marsh, grassland, forest and farming. As results, farming area showed 14.52KM 2, forest flooded area showed 3.50KM 1, %, grassland flooded area showed 1.06 KM 2, ground flooded area was accounted for 0.09 KM 2 and urban flooded area showed 0.04 KM 2. The actual flooded damage to the standing farming crop depends on the duration of the flood and on subsequent recovery status. We found that image data acquired during and after flooded is necessary to assess accurately flood damage to farming area. From now on, this study will contribute to reduce the hazardous of natural disasters and to raise the pliability in the process of managing damage of natural disasters.
AB - The aim of this study is to detect flooded location using SAR data and assessment of post-flooded conditions using a Geographic Information System (GIS) and SAR (Synthetic Aperture Radar) data images. The temporal characteristics of radar response form flooded were analyzed throughout the 2002summer flooded season. Flooded locations were identified by change detection technique of RADARSAT SAR data images. Multiple scenes of Radarsat SAR images were acquired before, during, and after the flood inundation. From the interpretation of colour composite imagery of the multi-temporal SAR data, as well as from the temporal profiles of radar backscatter, seven types of Landcover were separable according to flooded and post-flooded recovery conditions. Landover map of 2000.07 was classed 7 categories by water, urban, bare ground, marsh, grassland, forest and farming. As results, farming area showed 14.52KM 2, forest flooded area showed 3.50KM 1, %, grassland flooded area showed 1.06 KM 2, ground flooded area was accounted for 0.09 KM 2 and urban flooded area showed 0.04 KM 2. The actual flooded damage to the standing farming crop depends on the duration of the flood and on subsequent recovery status. We found that image data acquired during and after flooded is necessary to assess accurately flood damage to farming area. From now on, this study will contribute to reduce the hazardous of natural disasters and to raise the pliability in the process of managing damage of natural disasters.
KW - Flooded location
KW - GIS
KW - SAR
UR - http://www.scopus.com/inward/record.url?scp=84865616215&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84865616215
SN - 9781615676156
T3 - 29th Asian Conference on Remote Sensing 2008, ACRS 2008
SP - 285
EP - 291
BT - 29th Asian Conference on Remote Sensing 2008, ACRS 2008
T2 - 29th Asian Conference on Remote Sensing 2008, ACRS 2008
Y2 - 10 November 2008 through 14 November 2008
ER -