Remote sensing technique, replacing conventional sonar bathymetry technique, has become an effective complementary method of mapping submarine terrain where special conditions make the sonar technique difficult to be carried out. At the same time, as one kind of data set, multispectral remote sensing data has the disadvantage of being influenced by the variable bottom types in shallow seawater, when it is applied in bathymetry. This paper puts forward a new method to extract water depth information from multispectral data, considering the bottom classification and the true water depth accuracy. That is the Principal Component Analysis (PCA) technique based on the bottom classification. By the least square regression with significance, the experiment near Qingdao City has obtained more satisfactory bathymetry accuracy than that of the traditional single-band method, with the mean absolute error about 2.57m.
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LYZENGA D R, 1981. Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data [J]. International Journal of Remote Sensing, 2(1): 71–82.
LYZENGA D R, 1995. Shallow-water bathymetry using combined Lidar and passive multispectral scanner data [J]. International Journal of Remote Sensing, 6(1): 115–125.
MARITORENA S, 1996. Remote sensing of the water attenuation in coral reefs: a case study in French Polynesia [J]. International Journal of Remote Sensing, 17(1): 155–166.
MOREL Y G, LINDELL L T, 1998. Passive multispectral bathymetry mapping of Negril shores Jamaica [A]. In: Proceeding of the Fifth International Conference on Remote Sensing for Marine and Coastal Environment [C]. San Diego, U.S.A., 315–323.
PHILPOT W D, 1989. Bathymetry mapping with passive multi-spectral imagery [J]. Applied Optics, 28(8): 1569–1578.
SERWAN M, BABAN J, 1993. The evaluation of different algorithms for bathymetry charting of lakes using Landsat imagery [J]. International Journal of Remote Sensing, 14(12): 2263–2273.
SPITZER D, DIRKS R W J, 1987. Bottom influence on the reflectance of the sea [J]. International Journal of Remote Sensing, 8(3): 279–290.
Foundation item: Under the auspices of Scientific Foundation Research Project of the Ministry of Science and Technology and Chinese Academy of Surveying and Mapping (No. F0610).
Biography: PANG Lei (1971—), female, a native of Weifang City of Shandong Province, Ph. D. candidate, specialized in remote sensing imagery processing and Synthetic Aperture Radar remote sensing application. E-mail: firstname.lastname@example.org
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Pang, L., Zhang, Mb., Zhang, Jx. et al. Shallow seawater depth retrieval based on bottom classification from remote sensing imagery. Chin. Geograph.Sc. 14, 258–262 (2004). https://doi.org/10.1007/s11769-003-0056-x
- multispectral remote sensing
- bathymetry model
- bottom classification