Application of Sentinel-1 SAR Remote Sensing Imagery to Monitor the Construction Progress of the Pinglu Canal, Guangxi, China
DOI:
https://doi.org/10.67484/GeoGIS.106.1205.2026Keywords:
Sentinel-1, SAR, multi-temporal radar imagery, Pinglu Canal, construction monitoring, RGB composite imageryAbstract
The construction of hydraulic works is directly related to water resource safety and human life. Structures such as reservoirs, canals and dikes are often located in remote areas with fragmented transportation, which complicates monitoring. The monitoring process is strongly affected by weather and hydrological factors caused by adverse conditions (drought, flooding, rain, rising water levels, etc.). Monitoring the construction progress of large-scale hydraulic infrastructure in hard-to-access areas has become an urgent practical problem. This study presents a method using a time series of Sentinel-1 radar satellite images to monitor the construction progress of the Pinglu Canal (Guangxi, China). The proposed method enables remote monitoring of large infrastructure, overcoming weather limitations and field-access constraints, and opens a practical application direction for water resource management and cross-border infrastructure monitoring.
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[1] Luật Thủy lợi số 08/2017/QH14 ngày 19/6/2017. Quốc hội nước Cộng hòa Xã hội chủ nghĩa Việt Nam. https://thuvienphapluat.vn
[2] Nguyễn Bá Dũng, Lê Thị Kim Dung, Ngô Thị Mến Thương (2019). Ứng dụng ảnh radar thành lập bản đồ ngập lụt, thử nghiệm tại Huyện Chương Mỹ, Hà Nội. Tạp chí Khoa học Tài nguyên và Môi trường, 6/2019, tr. 26–32.
[3] Vũ Thị Minh Huệ, Phan Mạnh Hưng, Đinh Thị Hải Yến, Nguyễn Thị Minh Tâm (2022). Nghiên cứu ứng dụng giải đoán ảnh viễn thám trong xây dựng bản đồ thiệt hại ngập lụt thành phố Cần Thơ. Tạp chí Khoa học và Công nghệ Thủy lợi, 74/2022, tr. 1–10.
[4] Ouled Sghaier M., Hammami I., Foucher S., Lepage R. (2018). Flood extent mapping from time-series SAR images based on texture analysis and data fusion. Remote Sensing, 10(2), 237. https://doi.org/10.3390/rs10020237 DOI: https://doi.org/10.3390/rs10020237
[5] ErazoMesa E., MurilloSandoval P.J., RamírezGil J.G., Quiroga Benavides K., Echeverri Sánchez A. (2023). IS-SAR: an irrigation scheduling web application for Hass avocado orchards based on Sentinel-1 images. Irrigation Science, 42, 595–609. https://doi.org/10.1007/s00271-023-00890-5 DOI: https://doi.org/10.1007/s00271-023-00889-0
[6] Thông tin về kênh đào, https://vnexpress.net/kenh-dao-10-ty-usd-giup-trung-quoc-tang-ket-noi-voi-asean-4929366.html
[7] Xinhua (2022). China's new inland waterway — the Pinglu Canal. Xinhua News Agency. https://english.news.cn/20220828 [truy cập 01/06/2025]
[8] Torres R., Snoeij P., Geudtner D., Bibby D., Davidson M., Attema E., … Rostan E. (2012). GMES Sentinel-1 mission. Remote Sensing of Environment, 120, 9–24. https://doi.org/10.1016/j.rse.2011.05.028 DOI: https://doi.org/10.1016/j.rse.2011.05.028
[9] Lee J.S. (1980). Digital image enhancement and noise filtering by use of local statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2(2), 165–168. https://doi.org/10.1109/TPAMI.1980.4766994 DOI: https://doi.org/10.1109/TPAMI.1980.4766994
[10] Bouvet A., Mermoz S., Ballère M., Koleck T., Le Toan T. (2018). Use of the SAR shadowing effect for deforestation detection with Sentinel-1 time series. Remote Sensing, 10(8), 1250. https://doi.org/10.3390/rs10081250 DOI: https://doi.org/10.3390/rs10081250
[11] Ferretti A., Prati C., Rocca F. (2001). Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39(1), 8–20. https://doi.org/10.1109/36.898661 DOI: https://doi.org/10.1109/36.898661
[12] Jurakulov D.O., Pirnazarov I.M., Babayev N.Z. (2026). Phương pháp quan trắc biến dạng trong các công trình kỹ thuật. Tạp chí Trắc địa - Bản đồ, Tập 12, Số 02, tr. 41–49. https://doi.org/10.5281/7zenodo.19766838
[13] Nguyễn Đức Anh (2025). Ứng dụng phương pháp radar giao thoa (PSInSAR) xử lý ảnh Sentinel-1 xác định biến dạng bề mặt đất khu vực thị xã Mường Lay - Điện Biên. Tạp chí Trắc địa - Bản đồ, Tập 11, Số 04, tr. 55–66. https://doi.org/10.5281/zenodo.17042742
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Copyright (c) 2026 Xuân Hoàn Phạm, Lê Thị Kim Dung, Lương Nguyễn Hoàng Hoa, Vũ Ngọc Khánh, Nguyễn Đắc Huy (Tác giả)
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