TY - GEN
T1 - Potential of temporal information of high density airborne LiDAR data forinstream flow type classification
AU - Lin, Yu Li
AU - Wang, Chi Kuei
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Instream habitat mapping is an important task for river management. Remote sensing techniques have been successfully applied to replace the conventional method of habitat mapping due to the disadvantages of conventional method like expansive, labor intensive and time-consuming. Airborne LiDAR (Light Detection And Ranging) combining standard deviation analysis has been proved to be effective for instream habitat mapping in the last research. In this research, we improved the point density of LiDAR data and collected the ground truth data with the aim of GPS for accurate positioning. New methods using temporal information of water surface to discriminate instream flow types are tested and compare to the original method. The result shows that standard deviation of average surface elevation provides the best classification accuracy, and as the LiDAR technique improved, it has a great potential to be a useful tool for instream flow type classification in the future.
AB - Instream habitat mapping is an important task for river management. Remote sensing techniques have been successfully applied to replace the conventional method of habitat mapping due to the disadvantages of conventional method like expansive, labor intensive and time-consuming. Airborne LiDAR (Light Detection And Ranging) combining standard deviation analysis has been proved to be effective for instream habitat mapping in the last research. In this research, we improved the point density of LiDAR data and collected the ground truth data with the aim of GPS for accurate positioning. New methods using temporal information of water surface to discriminate instream flow types are tested and compare to the original method. The result shows that standard deviation of average surface elevation provides the best classification accuracy, and as the LiDAR technique improved, it has a great potential to be a useful tool for instream flow type classification in the future.
UR - http://www.scopus.com/inward/record.url?scp=84865681284&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865681284&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84865681284
SN - 9781618394972
T3 - 32nd Asian Conference on Remote Sensing 2011, ACRS 2011
SP - 1030
EP - 1035
BT - 32nd Asian Conference on Remote Sensing 2011, ACRS 2011
T2 - 32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Y2 - 3 October 2011 through 7 October 2011
ER -