Research Bathymetry Mapping of Shallow Water Areas around Islands in the Truong Sa Archipelago by Deep - Remote sensing technology
Main Article Content
Abstract
Satellite image data is being researched and applied effectively in the survey and
establishment of bathymetry mapping in shallow water areas in both time and human terms. Remote
sensing techniques contribute to rapid updating of topography, timely assurance of civil and military
operations such as maritime safety, environmental security and rescue, warfare in the military,
especially the ability to remotely monitor disputed areas. The article experiment with the Stumpf
algorithm to estimate the shallow water depths on the Spratly Island by Landsat 8 image. The
correlation coefficient of the model R2 is 0.924; RMSE is 0.99m. In addition, the results are compared
with the map data of C-map and use 12 actual test points scores to evaluate the accuracy of the model.
Keywords
Bathymetry, terrain, remote sensing, Landsat 8, Truong Sa archipelago
References
1. Hell, B., Mapping bathymetry: From measurement to applications, 2011, Department of Geological Sciences, Stockholm University.
2. Jawak, S.D., S.S. Vadlamani, and A.J. Luis, A synoptic review on deriving bathymetry information using remote sensing technologies: models, methods and comparisons. Advances in Remote Sensing, 2015. 4(02): p. 147.
3. Stumpf, R.P., K. Holderied, and M. Sinclair, Determination of water depth with high‐resolution satellite imagery over variable bottom types. Limnology and Oceanography, 2003. 48(1part2): p. 547-556.
4. Nguyễn Thế Tiệp, et al., Các loại hình tai biến vùng quần đảo Trường Sa. nhà xuất bản Khoa học tự nhiên và Công nghệ, 2012.
5. Trần Anh Tuấn, Nghiên cứu đặc điểm cảnh quan các đảo nổi san hô quần đảo Trường Sa. Tạp chí Khoa học và Công nghệ Biển, 2014. tập 14, số 3.
6. http://landsat.usgs.gov/landsat8.php, Thông tin chi tiết về vệ tinh Landsat 8.
7. Phòng bảo đảm Hàng Hải, Bảng thủy triều năm 2014 - tập 3. 2013.
8. Nguyễn Khắc Thời, Giáo trình viễn thám. Trường đại học Nông nghiệp Hà Nội, 2011.
9. Austin, R., The remote sensing of spectral radiance from below the ocean surface. Optical aspects of oceanography, 1974: p. 317-344.
10. Lyzenga, D.R., Passive remote sensing techniques for mapping water depth and bottom features. Applied optics, 1978. 17(3): p. 379-383.
11. Lyzenga, D.R., Shallow-water bathymetry using combined lidar and passive multispectral scanner data. International journal of remote sensing, 1985. 6(1): p. 115-125.
12. Lyons, M., S. Phinn, and C. Roelfsema, Integrating Quickbird multi-spectral satellite and field data: mapping bathymetry, seagrass cover, seagrass species and change in Moreton Bay, Australia in 2004 and 2007. Remote Sensing, 2011. 3(1): p. 42-64.
13. Ehses, J. and J. Rooney, Depth derivation using multispectral WorldView-2 satellite imagery. US Department of Commerce. NOAA Technical Memorandum NMFS-PIFSC-46, 2015. 24.
14. Bramante, J.F., D.K. Raju, and T.M. Sin, Multispectral derivation of bathymetry in Singapore's shallow, turbid waters. International journal of remote sensing, 2013. 34(6): p. 2070-2088.
15. Jagalingam, P., B. Akshaya, and A.V. Hegde, Bathymetry mapping using Landsat 8 satellite imagery. Procedia Engineering, 2015. 116: p. 560-566.
16. Spitzer, D. and R. Dirks. Classification of bottom composition and bathymetry of shallow waters by passive remote sensing. in IN: Remote sensing for resources development and environmental management; Proceedings of the Seventh International Symposium, Enschede, Netherlands, Aug. 25-29, 1986. Volume 2 (A88-41961 17-43). Rotterdam, AA Balkema, 1986, p. 775-777. 1986.
References
2. Jawak, S.D., S.S. Vadlamani, and A.J. Luis, A synoptic review on deriving bathymetry information using remote sensing technologies: models, methods and comparisons. Advances in Remote Sensing, 2015. 4(02): p. 147.
3. Stumpf, R.P., K. Holderied, and M. Sinclair, Determination of water depth with high‐resolution satellite imagery over variable bottom types. Limnology and Oceanography, 2003. 48(1part2): p. 547-556.
4. Nguyễn Thế Tiệp, et al., Các loại hình tai biến vùng quần đảo Trường Sa. nhà xuất bản Khoa học tự nhiên và Công nghệ, 2012.
5. Trần Anh Tuấn, Nghiên cứu đặc điểm cảnh quan các đảo nổi san hô quần đảo Trường Sa. Tạp chí Khoa học và Công nghệ Biển, 2014. tập 14, số 3.
6. http://landsat.usgs.gov/landsat8.php, Thông tin chi tiết về vệ tinh Landsat 8.
7. Phòng bảo đảm Hàng Hải, Bảng thủy triều năm 2014 - tập 3. 2013.
8. Nguyễn Khắc Thời, Giáo trình viễn thám. Trường đại học Nông nghiệp Hà Nội, 2011.
9. Austin, R., The remote sensing of spectral radiance from below the ocean surface. Optical aspects of oceanography, 1974: p. 317-344.
10. Lyzenga, D.R., Passive remote sensing techniques for mapping water depth and bottom features. Applied optics, 1978. 17(3): p. 379-383.
11. Lyzenga, D.R., Shallow-water bathymetry using combined lidar and passive multispectral scanner data. International journal of remote sensing, 1985. 6(1): p. 115-125.
12. Lyons, M., S. Phinn, and C. Roelfsema, Integrating Quickbird multi-spectral satellite and field data: mapping bathymetry, seagrass cover, seagrass species and change in Moreton Bay, Australia in 2004 and 2007. Remote Sensing, 2011. 3(1): p. 42-64.
13. Ehses, J. and J. Rooney, Depth derivation using multispectral WorldView-2 satellite imagery. US Department of Commerce. NOAA Technical Memorandum NMFS-PIFSC-46, 2015. 24.
14. Bramante, J.F., D.K. Raju, and T.M. Sin, Multispectral derivation of bathymetry in Singapore's shallow, turbid waters. International journal of remote sensing, 2013. 34(6): p. 2070-2088.
15. Jagalingam, P., B. Akshaya, and A.V. Hegde, Bathymetry mapping using Landsat 8 satellite imagery. Procedia Engineering, 2015. 116: p. 560-566.
16. Spitzer, D. and R. Dirks. Classification of bottom composition and bathymetry of shallow waters by passive remote sensing. in IN: Remote sensing for resources development and environmental management; Proceedings of the Seventh International Symposium, Enschede, Netherlands, Aug. 25-29, 1986. Volume 2 (A88-41961 17-43). Rotterdam, AA Balkema, 1986, p. 775-777. 1986.