
Proceedings Paper
An automatic method of monitoring water bodies based on GF-1 dataFormat | Member Price | Non-Member Price |
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Paper Abstract
As the reflectivity is very low in near-infrared spectral band for water, it is easy to extract water bodies in remote
sensing images with the use of NDVI (Normalized Difference Vegetation Index).The problem is that we always have to try
several times to find the appropriate threshold to separate water bodies from land. In this paper, a particular method was
developed to solve this problem by automatically determining the threshold that was used to extract the specific water body.
We select both Chaohu Lake and Taihu Lake as the study regions. First, we generate NDVI image of the study region from
GF-1 data after several pre-processing procedures. Then we resize the NDVI image to make it contain approximately the
same number of water and land pixels. Because the NDVI value is lower for water than that for land, there will appear two
peaks in the histogram which we derived from the resized NDVI image. The threshold locates at the lowest place between
the two peaks can be chosen as the proper threshold used for land/water delineation. With the use of a reasonable threshold
range we can finally get the threshold by calculating the minimum value in it, and extract the water body successfully.
Paper Details
Date Published: 10 December 2014
PDF: 7 pages
Proc. SPIE 9261, Ocean Remote Sensing and Monitoring from Space, 926103 (10 December 2014); doi: 10.1117/12.2068815
Published in SPIE Proceedings Vol. 9261:
Ocean Remote Sensing and Monitoring from Space
Robert J. Frouin; Delu Pan; Hiroshi Murakami, Editor(s)
PDF: 7 pages
Proc. SPIE 9261, Ocean Remote Sensing and Monitoring from Space, 926103 (10 December 2014); doi: 10.1117/12.2068815
Show Author Affiliations
HaoBin Zhang, Central South Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
JunSheng Li, Institute of Remote Sensing and Digital Earth (China)
Nanping Xiang, Central South Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
JunSheng Li, Institute of Remote Sensing and Digital Earth (China)
Nanping Xiang, Central South Univ. (China)
Qian Shen, Institute of Remote Sensing and Digital Earth (China)
FangFang Zhang, Institute of Remote Sensing and Digital Earth (China)
Wenxiu Liang, Institute of Remote Sensing and Digital Earth (China)
Capital Normal Univ. (China)
FangFang Zhang, Institute of Remote Sensing and Digital Earth (China)
Wenxiu Liang, Institute of Remote Sensing and Digital Earth (China)
Capital Normal Univ. (China)
Published in SPIE Proceedings Vol. 9261:
Ocean Remote Sensing and Monitoring from Space
Robert J. Frouin; Delu Pan; Hiroshi Murakami, Editor(s)
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