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INTRODUCTION
HU Lianbo* QU Liqin, HE Ming-XiaOcean Remote Sensing Institute, Ocean University of China, Qingdao ,266003,China, *[email protected]
In this study, the performance of retrieving shallow water depth using Chinese high spatial resolution satellite data including GF-1/WFV, GF-1/PMS, ZY3/MUX and HJ-1A&B/CCD (seeing table for details) were assessed in the Dongsha Atoll in the South China Sea. The model developed by Hu et al.(2014) were used to retrieve the shallow water depth in the Dongsha Atoll for each satellite data and compared with the in situ measurements. The results were listed in the table. The in situ water depth data were collected by National Sun Yat-Sen University using a single beam echo sounder-Hydrotrac (Chen et al. 2008). The tide height at the acquisition time of each satellite imagery was calculated by TPXO7.2 global model to correct the retrieved water depth. The illustrate the retrieval differences , the equivalent signal-noise-ratio (SNR) of each sensor were estimated using 3X3 remote sensing reflectance mean (Rrs) values and standard deviation values over optical deep waters..
ASSESSMENT OF RETRIVING SHALLOW WATER DEPTH USING CHINESE HIGH SPATIAL RESOLUTION SATELLITE DATA
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06/02/2013
Sensor Date of Imagery
Spatial Resolution
Width Bands Bits TideHeight*
SNR @490nm
Error % RMSE
GF-1/WFV 2013-05-23 16m 800km 4 10 0.6m 125 25% 2.8m
GF-1/PMS 2014-03-20 8m 60km 4 10 1.2m 70 27% 3.1m
ZY3/MUX 2014-01-17 5.8m 51km 4 10 0.8m 30 48% 3.8m
HJ-1A&B/CCD 2014-05-22 30m 720km 4 8 0.5m 25 39% 3.8m
Landsat-8/OLI 2013-10-30 30m 185km 5 12 0.6m 430 16% 1.6m
GF1/WFV GF1/PMS
HJ/CCDZY3/MUX
Landsat-8/OLI
CONCLUSIONS
1. Overall, GF1/WFV, GF1/PMS and Landsat-8/OLI gave the reasonable shallow water depth retrieval and Landsat-8/OLI perform best among them. High spatial resolution with wide width of GF1/WFV make it very useful in the mapping of shallow water depth in the South China Sea.
2. The performance of each satellite sensor is correlated with their SNR values.3. The reason of ZY3/MUX performed not good as expected needs further study.
1. Hu, L., Liu, Z., Liu, Z., Hu, C., & He, M.-X. (2014). Mapping bottom depth and albedo in coastal waters of the South China Sea islands and reefs using Landsat TM and ETM+ data. International Journal of Remote Sensing, 35, 4156-4172
2. Chen, Y., Wang, Y., Li, P., Xue, X., Tian, W., Liu, J., Dai, C., & Zeng, R. (2008). Investigation of ocean current, bathmetry and benthic habitat in the Pratas Atoll (in Chinese). In: National Sun Yat-sen University
3. http://volkov.oce.orst.edu/tides/TPXO7.2.html
REFERENCES
In situ measurements
