Аннотация и ключевые слова
Аннотация (русский):
In the recent years, the Ninh Binh and Nam Dinh shoreline had a strong fluctuation due to the impact of natural conditions and economic activity of people. Therefore, the monitoring of shoreline changes is very important for coastal manage in the context of climate change today. In this study, a total of 5 scenes of Landsat 5 TM and 01 scene of Landsat 8 OLI/TIRS satellite images from 1988 to 2018 were used to extract shoreline based on water indices, such as Automated Extraction Water Index (AWEIsh" role="presentation">shsh_\\mathrm{sh}, AWEInsh" role="presentation">nshnsh_\\mathrm{nsh}), Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI). Assessing the accuracy of automatically extracted shorelines on Ninh Binh and Nam Dinh coastal from Landsat data show that, the accuracy of shoreline extraction using AWEIsh" role="presentation">shsh_\\mathrm{sh} index is higher than using other water indices, which is reflected in the comparison of mean square error (MSE) and Kappa values. The results show that the coastline of Nam Dinh area tends to erode in the period 1988-2018, in which the most eroded length amounted to 987 m. Meanwhile, the coastal area of Ninh Binh province is strongly accreted, with the lengths of accretion amounted to several kilometers in period 1988-2018. The results obtained in the study provide timely informations to help managers on monitoring and protecting coastlines and coastal ecosystems.

Ключевые слова:
Shoreline change, remotesensing, water index, AWEI, Landsat, Vietnam
Список литературы

1. Acharya, T., A. Subedi, D. Lee (2018a) , Evaluation of water indices for surface water extraction in a Landsat 8 scence of Nepan, Sensors, 18, no. 8, p. 2580,

2. Alesheikh, A., A. Ghorbanali, A. Nouri (2007) , Coastline change detection using remote sensing, International Journal of Environmental Science and Technology, 4, no. 1, p. 61-66,

3. Cat, N. N., P. H. Tien, D. D. Sam, et al. (2006) , Field study presentation: Status of coastal erosion of Vietnam and proposed measures for protection, Regional Technical Workshop, Khao Lak, Thailand, 28-31 August 2006, p. 131, FAO, Bangkok, Thailand

4. Chavez, P. S. (1996) , Image-based atmospheric corrections-revisited and improved, Photogrammetric Engineering and Remote Sensing, 62, no. 9, p. 1025-1036

5. Chavez, P. S. (1988) , An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data, Remote Sensing of Environment, 24, p. 459-479,

6. Colak, T., G. Senel, C. Goksel (2018) , Coastline zone extraction using Landsat 8 OLI imagery, case study: Bodrum Peninsula, Turkey, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W12, p. 101-104,

7. Cuong, N. Q., N. V. Cu (2014) , Intergradted coastal management in Vietnam: current situation and orientation, Journal of Marine Science and Technology, 1491, p. 89-96

8. Feyisa, G., H. Meiby, R. Fensholt, et al. (2014) , Automated water extraction index: A new technique for surface water mapping using Landsat imagery, Remote Sensing of Environment, 140, p. 23-35,

9. Gao, B. C. (1996) , NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, 58, p. 257-266,

10. Guerschman, J. P., G. Warren, et al. (2011) , MODIS-based standing water detection for flood and large reservoir mapping: algorithm development and applications for the Australian continent, CSIRO: Water for a Healthy Country National Research Flagship Report, p. 100, CSIRO, Canberra, Australia

11. Huang, C., Y. Chen, S. Zhang, J. Wu (2018) , Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review, Reviews of Geophysics, 56, no. 2, p. 333-360,

12. Ji, L., X. Geng, K. Sun, Y. Zhao, P. Gong (2015) , Target detection method for water mapping using Landsat 8 OLI/TIRS imagery, Water, 7, no. 2, p. 794-817,

13. Jiang, H., M. Feng, Y. Zhu, et al. (2014) , An automated method for extracting rivers and lakes from Landsat imagery, Remote Sensing, 6, no. 6, p. 5067-5089,

14. Liu, Y., X. Wang, F. Ling, et al. (2017) , Analysis of coastline extraction from Landsat-8 OLI imagery, Water, 9, no. 816, p. 26,

15. Masocha, M., T. Dube, M. Makore, et al. (2018) , Surface water bodies mapping in the Zimbabwe using Landsat 8 OLI multispectral imagery: A comparison of the multiple water indices, Physics and Chemistry of the Earth, 106, p. 63-67,

16. McFeeters, S. K. (1996) , The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features, International Journal of Remote Sensing, 17, no. 7, p. 1425-1432,

17. Mustafa, M., K. Hassoon, H. Hussain, et al. (2017) , Using water indices (NDWI, MNDWI, WRI and AWEI) to detect physical and chemical parameters by apply remote sensing and GIS techniques, International Journal of Research - Granthalayah, 5, no. 10, p. 117-128

18. Nguyen, U. N. T., L. T. H. Pham, T. D. Dang (2019) , An automatic water detection approach using Landsat 8 OLI and Google Earth Engine cloud computing to map lakes and reservoirs in New Zealand, Environmental Monitoring and Assessment, 191, no. 4, p. 235,

19. Shen, L., C. Li (2010) , Water Body Extraction from Landsat ETM+ imagery using adaboost algorithm, Proceedings of the 18th International Conference on Geoinformatics, Beijing, China, 18-20 June 2010, p. 1-4, IEEE, Piscataway, NJ,

20. Thinh, N. A., L. Hens (2017) , A digital shoreline analysis system (DSAS) applied on mangrove shoreling changes along the Giao Thuy coastal area (Nam Dinh, Vietnam) during 2005-2014, Vietnam Journal of Earth Sciences, 39, no. 1, p. 87-96,

21. To, D. V., P. T. P. Thao (2008) , A shoreline analysis using DSAS in Nam Dinh coastal area, International Journal of Geoinformatics, 4, no. 1, p. 37-42

22. Tran, A. T., D. N. Le, L. P. Vu, et al. (2016) , Shoreline change detection in the Southwest region of Vietnam from 1999 to 2016 using GIS and remote sensing data, Proceedings of the ESASGD 2016, p. 137-144, Transport Publishing House, Hanoi

23. Trung, N. V., N. V. Khanh (2016) , Monitoring coastline changes using Landsat multi-temporal data in the Cua Dai estuary, Thu Bon river, Quang Nam, Journal of Mining and Earth Sciences, 57, p. 81-89

24. Xiao, X., S. Boles, S. Frolking, et al. (2002) , Observation of flooding and rice transplanting of paddy rice fields at the site to landscape scales in China using VEGETATION sensor data, International Journal of Remote Sensing, 23, no. 15, p. 3009-3022,

25. Xu, H. (2006) , Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery, International Journal of Remote Sensing, 27, no. 14, p. 3025-3033,

26. Winasro, G., S. Budhiman (2001) , The potential application of remote sensing data for coastal study, Proc. 22nd Asian Conference on Remote sensing, p. 5, National University of Singapore, Singapore

27. Yang, Y., Y. Liu, M. Zhou, et al. (2015) , Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach, Remote Sensing of Environment, 171, p. 14-32,

Войти или Создать
* Забыли пароль?