TY - GEN
T1 - Monitoring landscape changes of coastal zone using multi-temporal remote sensing images
AU - Jan, Jihn Fa
AU - Hsu, Yu Ching
AU - Wu, Chih Da
PY - 2010/12/1
Y1 - 2010/12/1
N2 - The coastal zone environment is easily affected by many natural and man-made factors, especially improper land use that result in rapid disappearance of coastal sand dunes. In this paper, by using three SPOT images acquired between 2003 and 2009, the change detection analysis of sand dunes and land use show temporal and spatial variability in the costal zone of I-Lan Plain, Taiwan. Based on the results of image classification, the land use/land cover changes and spatial variability was analyzed by using Fragstats, a software for landscape ecological studies. The objectives of this research include: (1) assessment of classification accuracy of two image classification methods; (2) analyzing spatial variability of land-use and sand dunes area; (3) developing a statistical model for illustrating the relationship between land use and changes of ecological environment of coastal zone. It is expected that the results of this study will provide the administration authority with solid scientific basis for strategic decision making on sustainable management of the coastal zones.
AB - The coastal zone environment is easily affected by many natural and man-made factors, especially improper land use that result in rapid disappearance of coastal sand dunes. In this paper, by using three SPOT images acquired between 2003 and 2009, the change detection analysis of sand dunes and land use show temporal and spatial variability in the costal zone of I-Lan Plain, Taiwan. Based on the results of image classification, the land use/land cover changes and spatial variability was analyzed by using Fragstats, a software for landscape ecological studies. The objectives of this research include: (1) assessment of classification accuracy of two image classification methods; (2) analyzing spatial variability of land-use and sand dunes area; (3) developing a statistical model for illustrating the relationship between land use and changes of ecological environment of coastal zone. It is expected that the results of this study will provide the administration authority with solid scientific basis for strategic decision making on sustainable management of the coastal zones.
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M3 - Conference contribution
AN - SCOPUS:84865631371
SN - 9781617823978
T3 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
SP - 1880
EP - 1885
BT - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
T2 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
Y2 - 1 November 2010 through 5 November 2010
ER -