09. RESEARCH ON AN ALGORITHM TO SEPARATE WATER AND LAND BOUNDARIES USING LANDSAT OPTICAL SATELLITE IMAGES FOR RIVER EROSION STUDY
Thanh bên bài viết
Đã nộp
22 Tháng hai 2022
Đã xuất bản
6 Tháng sáu 2019
Giới thiệu
This research aims to introduce an algorithm for separating water and land boundaries using Landsat optical satellite images. The Landsat image is first radiation calibrated and atmospheric calibrated using a FLAASH model. Thresholding algorithm combining with image ratio was then applied to separate boundaries between water and land. The results of separating water and land boundaries from two Landsat-5 and Landsat-8 images of the confluence of Thao river, Da river and Lo river taken in 2008 and 2017 show that the algorithm has effectively separated water and land boundaries of this region. This research enables an important method to identify changes and to monitor landslide erosion in Vietnam river basins.
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Trích dẫn
[1]. Vu Danh Tuyen, Pham Thi Thu Huong, Quach Thi Chuc, Nguyen Tien Thanh (2017). Applying the remote sensing and GIS technology to separate the river shoreline for monitoring the erosion in the cofluence of Thao, Da and Lo river. Journal of Natural resource and Environment, 23(277).
[2]. Nguyen Van Trung, Nguyen Van Khanh. Nguyen Van Trung, Nguyen Van Khanh (2016). Monitoring the the change of shoreline by using LANSAT data time series in Cua Dai, Thu Bon river, Quang Nam. Journal of Geo - Mining technology Volume.
[3]. NOAA (1997). Shoreline mapping. URL: http://anchor.ncd.noaa.gov/psn/shoreline.html.
[4]. Pham Bach Viet, Truong Ngoc Tuong, Nguyen Thanh Minh (2004). Using Time Series Remotely Sensed Data to Trace Historical Changes of LocAn River Mouth Area, Proceedings of International Symposium on 7. Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences: 172-177.
[5]. http://www.aars-acrs.org/acrs/proceeding/ACRS1989/Papers/OCN89-1.htm.
[6]. Vu Minh Cat (2002). Applying remote sensing and GIS to research the downstream of Ba river. Journal of Agriculture and Rural Development.
[7]. Vu Minh Cat (2003). Evaluating the change of downstream of Thu Bon river from Giao Thuy to Cua Dai by using remote sensing and GIS technology. Journal of Water Resource and Environment Science, Thuy Loi University, 15-20.
[8]. White, K., Asmar, H.M., (1999). Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile Delta. Geomorphology 29, 93 - 105.
[9]. Xu, J.X., (2002). A study of thresholds of runoff and sediment for the land accretion of the Yellow River Delta. Geogr. Res. 21 (2), 163 - 170.
[10]. Rokni, Komeil, et al. (2014). Water feature extraction and change detection using multitemporal Landsat imagery. Remote Sensing 6.5: 4173-4189.
[11]. Pham Tich Xuan (2012). Impact of river bank erosion in the confluence Thao - Da - Lo river. Journal of Earth Science, 34(1), 18-24.
[12]. National Aeronautics and Space Administration (NASA), LANDSAT Science data user’s Handbook.
[13]. Hoang Anh Huy (2016). Applying LANDSAT 8 OLI imagery to identify vegetation cover in Hanoi. Journal of Science Vietnam National University, 32, 101.
[14]. Mishra N., Haque, M., Leigh, L. et al. (2014). Radiometric Cross Calibration of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+). Remote Sensing 6.12: 12619-12638.
[15]. Hoang Anh Huy (2017). Applying FLAASH model to calibrate the effect of atmosphere LANDSAT imagery. Journal of Hydro- Meteorological, volume 679 p.41-45.
[2]. Nguyen Van Trung, Nguyen Van Khanh. Nguyen Van Trung, Nguyen Van Khanh (2016). Monitoring the the change of shoreline by using LANSAT data time series in Cua Dai, Thu Bon river, Quang Nam. Journal of Geo - Mining technology Volume.
[3]. NOAA (1997). Shoreline mapping. URL: http://anchor.ncd.noaa.gov/psn/shoreline.html.
[4]. Pham Bach Viet, Truong Ngoc Tuong, Nguyen Thanh Minh (2004). Using Time Series Remotely Sensed Data to Trace Historical Changes of LocAn River Mouth Area, Proceedings of International Symposium on 7. Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences: 172-177.
[5]. http://www.aars-acrs.org/acrs/proceeding/ACRS1989/Papers/OCN89-1.htm.
[6]. Vu Minh Cat (2002). Applying remote sensing and GIS to research the downstream of Ba river. Journal of Agriculture and Rural Development.
[7]. Vu Minh Cat (2003). Evaluating the change of downstream of Thu Bon river from Giao Thuy to Cua Dai by using remote sensing and GIS technology. Journal of Water Resource and Environment Science, Thuy Loi University, 15-20.
[8]. White, K., Asmar, H.M., (1999). Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile Delta. Geomorphology 29, 93 - 105.
[9]. Xu, J.X., (2002). A study of thresholds of runoff and sediment for the land accretion of the Yellow River Delta. Geogr. Res. 21 (2), 163 - 170.
[10]. Rokni, Komeil, et al. (2014). Water feature extraction and change detection using multitemporal Landsat imagery. Remote Sensing 6.5: 4173-4189.
[11]. Pham Tich Xuan (2012). Impact of river bank erosion in the confluence Thao - Da - Lo river. Journal of Earth Science, 34(1), 18-24.
[12]. National Aeronautics and Space Administration (NASA), LANDSAT Science data user’s Handbook.
[13]. Hoang Anh Huy (2016). Applying LANDSAT 8 OLI imagery to identify vegetation cover in Hanoi. Journal of Science Vietnam National University, 32, 101.
[14]. Mishra N., Haque, M., Leigh, L. et al. (2014). Radiometric Cross Calibration of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+). Remote Sensing 6.12: 12619-12638.
[15]. Hoang Anh Huy (2017). Applying FLAASH model to calibrate the effect of atmosphere LANDSAT imagery. Journal of Hydro- Meteorological, volume 679 p.41-45.
Các tác giả
Hoang Anh, H. (2019). 09. RESEARCH ON AN ALGORITHM TO SEPARATE WATER AND LAND BOUNDARIES USING LANDSAT OPTICAL SATELLITE IMAGES FOR RIVER EROSION STUDY. Tạp Chí Khoa học Tài Nguyên Và Môi trường, (25), 69–75. Truy vấn từ https://tapchikhtnmt.hunre.edu.vn/index.php/tapchikhtnmt/article/view/161
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