предыдущий|следующий

Retrieval and assessment of island shallow water depth without ground data from the HY-1C/D CZI multispectral imagery

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

    School of Oceanography, Shanghai Jiao Tong University, Shanghai, 200240, China

  • Email：zhanghg@sio.org.cn
  • Introduction：张华国，研究方向为近海与海岸带遥感。E-mail： zhanghg@sio.org.cn
ZHANG Huaguo12,  
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

MA Yunhan1,  
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

LI Dongling1,  
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

Cao Wenting1,  
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

Wang Juan1

реферат

Shallow water depth of islands and reefs is an important marine element. The islands and reefs in the South China Sea are located far from the mainland, which makes it difficult to assess long-term changes in underwater topography owing to the low efficiency and difficulty in field investigations. Satellite remote sensing imagery capable of large coverage and high frequency is urgently needed. The double satellite network of HY-1C/D greatly improves the coverage frequency. The Coastal Zone Imager (CZI) can provide fast operational remote sensing services for underwater detection of islands and reefs. To fully explore the depth detection capabilities of the two satellites, this study used Yongle Atoll as the research area, with HY-1C/D CZI multispectral remote sensing imagery as the data source. Combined semi-analytical and log-ratio models were used to perform water depth inversion independent of in situ data. The objective is to access the application potential of HY-1C/D CZI imagery for shallow water depth inversion of islands and reefs. This study combined a semi-analytical and logarithmic ratio model ( called L-S model) based on satellite remote sensing imagery of HY-1C/D CZI, which includes four bands from visible to near-infrared. The strong linear relationship between water depth and the relevant spectral parameters of the logarithmic ratio model were used to globally restrict the semi-analytical model. After preprocessing the HY-1C/D CZI domestic multispectral imagery, which included geographic projection, geometric precision correction, calculation of the top of atmosphere reflectance, radiometric correction, sun glint correction, and atmospheric correction, a shallow water depth inversion experiment was carried out in Yongle Atoll, independent of in situ water depth or any other priori knowledge based on the L-S model. The water depth inversion results after tidal height correction using the OSU tidal prediction software in Yongle Atoll were compared with the in situ data and cross-compared with the inversion results based on GeoEye-1 remote sensing imagery. Compared with the in situ water depth, the mean absolute errors of HY-1C/D CZI were 1.60 m and 1.85 m, and the relative errors were 22.48% and 26.23%, respectively. The mean absolute error of the water depth inversion result of GeoEye-1 was 0.78 m and the relative error was 10.86%. Compared with the results of GeoEye-1, the mean average absolute deviation of HY-1C/D CZI were 1.65 m and 1.81 m, and the relative deviations were 22.33% and 23.83%, respectively, which were basically consistent in different sate llite sensors. Although the overall accuracy is lower than that of high-spatial-resolution satellite images, the mean absolute error of the inversion results of HY-1C/D CZI can be controlled within 2.0 m, with a high reference value. This solves the problem of the lack of in situ water depth data during shallow water depth inversion at a large scale. In addition, a cross-comparison of the inversion results between HY-1C and HY-1D showed that this method is robust when applied to different satellite sensors. This indicates that HY-1C/D CZI have the advantages of a short revisiting period and large imaging coverage, which can quickly and repeatedly obtain large-scale optical image data of the ocean and perform shallow water depth mapping of islands and reefs, thereby realizing high-frequency monitoring of underwater terrain changes. HY-1C/D CZI imagery and high-spatial-resolution satellite imagery complement each other and compensate for the shortcomings of field measurements. Therefore, based on the HY-1C/D CZI imagery, the water depth information can be retrieved in the range of 0—20 m stably and accurately, which has a wide range of application potential in the shallow water depth inversion of global islands and reefs.

ключеви́че слова́

HY-1C/D;Coastal Zone Imager (CZI);island shallow water depth;Yongle Atoll;L-S model

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