Mapping of agricultural lands of the Mekong delta based on multi-temporal satellite radar data

Remote sensing
UDC: 
528.854.4
DOI: 
10.22389/0016-7126-2025-1023-9-35-49
1 Vasilchenko A.A.
2 Kulik A.K.
3 Vypritsky A.A.
4 Balkushkin R.N.
5 Nguyen T.H.
6 Vu T.M.C.
Year: 
2025
№: 
9
1023
Pages: 
35-49

Federal Scientific Center of Agroecology, Integrated Land Reclamation and Protective Afforestation of the RAS

1, 
2, 
3, 
4, 

Southern Branch of Joint Vietnam-Russia Tropical Science and Technology Research Center

5, 
6, 
Abstract:
Monitoring of economic development of high-density areas is necessary to identify the transformation of agricultural lands and draw up schemes for rational nature management. The authors analyze the distribution features of radar indices, based on dual polarization, within the main agricultural lands of five provinces of the Mekong Delta, Vietnam. An algorithm for their mapping using the Radar Vegetation Index and annual composite images was developed, the accuracy of which made more than 87 per cent. The areas of rice fields, artificial plantations (gardens), aquafarms and vegetable fields and their spatial distribution were identified. Rice fields in the said area are located mainly in the northern and northwestern part at a distance of 70 km from the sea, where groundwater salinization is not observed. At the same time, gardens (mainly coconut) are located in the central part of the study area, on the border of sea water intrusion. Comparison of the mapping results with the global land cover products ESRI Land Cover and ESA WorldCover showed the advantages of using the algorithm, among which one can note the high accuracy of identifying rice fields and gardens. The analysis of the obtained data with statistical materials showed that plantings in private farms (about 30 per cent of the territory of the provinces) are not taken into account in statistical summaries, therefore mapping using space survey materials is the only source of information on the area of gardens
The work was carried out within the framework of the Ecolan 3.7 project
References: 
1.   Baranova M. S., Filippov O. V., Kochetkova A. I., Bryzgalina E. S. GIS-tekhnologii i sputnikovye dannye kak instrumenty monitoringa geodinamicheskikh protsessov Volgogradskogo vodokhranilishcha. Geograficheskii vestnik, 2016, no. 2 (37), pp. 148–160.
2.   Bartalev S. A., Ershov D. V., Lupyan E. A., Tolpin V. A. Vozmozhnosti ispol'zovaniya sputnikovogo servisa VEGA dlya resheniya razlichnykh zadach monitoringa nazemnykh ekosistem. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, no. 1, pp. 49–56.
3.   Biarslanov A. B., Shinkarenko S. S., Gadzhiev I. R. Primenenie ezhemesyachnykh kompozitnykh izobrazhenii Santinel-2 dlya analiza sezonnykh izmenenii ploshchadei podvizhnykh peskov. Materialy 21-i Mezhdunar. konf. «Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa» (Moskva, 13–17 noyabrya 2023 g.): Elektron. sb, Москва: ИКИ РАН, 2023, pp. 352. DOI: 10.21046/21DZZconf-2023a.
4.   Vasilchenko A.A., Vypritsky A.A. (2023) Mapping forest plantations of the Volgograd region according to remote sensing data using the BSFI and NDWI indices. Geodezia i Kartografia, 84(10), pp. 39-49. (In Russian). DOI: 10.22389/0016-7126-2023-1000-10-39-49.
5.   Kovyazin V.F., Nguyen T.A., Nguyen T.T. (2023) Monitoring the forest fund lands of Kon Tum province, Vietnam using remote sensing data of Earth. Geodezia i Kartografia, 84(8), pp. 57-64. (In Russian). DOI: 10.22389/0016-7126-2023-998-8-57-64.
6.   Marchukov V. S., Chin' L. Kh. Analiz spektral'nykh kharakteristik tropicheskoi rastitel'nosti V'etnama i razrabotka metodov deshifrirovaniya na osnove spektral'nykh indeksov. Izvestia vuzov. Geodesy and Aerophotosurveying, 2011, no. 3, pp. 74–77.
7.   Myshlyakov S. G. Vozmozhnosti radarnykh snimkov Sentinel-1 dlya resheniya zadach sel'skogo khozyaistva. Geomatika, 2016, no. 2 (31), pp. 16–24.
8.   Plotnikov D. E., De Abelleira D., Veron S. i dr. Sravnenie raznykh istochnikov obuchayushchei informatsii dlya regional'nogo kartografirovaniya pashni v razlichnykh regionakh mira. Sb. tez. dokl. 16-i Vseros. otkrytoi konf. «Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa» (Moskva, 12–16 noyabrya 2018 g.): Elektron. sb, 2018, pp. 27. DOI: 10.21046/2070-16DZZconf-2018a.
9.   Ton Sh., Dobrynin D. V., Mokievskii V. O. Dinamika mangrovykh lesov del'ty Mekonga (V'etnam) s 1988 po 2018 god. Izv. RAN. Ser. geograficheskaya, 2020, no. 4, pp. 530–540. DOI: 10.31857/S2587556620040123.
10.   Shinkarenko S. S., Bartalev S. A. Kartografirovanie sorovykh ponizhenii i solonchakov v Severnom Prikaspii na osnove mnogoletnikh dannykh Landsat. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, no. 5, pp. 153–165. DOI: 10.21046/2070-7401-2023-20-5-153-165.
11.   Shinkarenko S. S., Bartalev S. A. Metod kartografirovaniya sorovykh ponizhenii i solonchakov Severnogo Prikaspiya po dannym Landsat. Materialy 21-i Mezhdunar. konf. «Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa» (Moskva, 13–17 noyabrya 2023 g.), Москва: ИКИ РАН, 2023, 419 p. DOI: 10.21046/21DZZconf-2023a.
12.   Shinkarenko S. S., Bartalev S. A., Vasil'chenko A. A. Metod kartografirovaniya zashchitnykh lesnykh nasazhdenii na osnove raznovremennykh sputnikovykh izobrazhenii vysokogo prostranstvennogo razresheniya i bisezonnogo indeksa lesa. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, no. 4, pp. 207–222. DOI: 10.21046/2070-7401-2022-19-4-207-222.
13.   Shinkarenko S. S., Solodovnikov D. A., Bartalev S. A., Vasil'chenko A. A., Vypritskii A. A. Dinamika ploshchadei vodokhranilishch poluostrova Krym. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, no. 5, pp. 226–241.
14.   Filgueiras R., Mantovani E. C., Althoff D., Fernandes-Filho E. I., Cunha F. Fd. (2019) Crop NDVI Monitoring Based on Sentinel 1. Remote Sensing, no. 11 (12), DOI: 10.3390/rs11121441.
15.   Filipponi F. (2019) Sentinel-1 GRD Preprocessing Workflow. In Multidisciplinary Digital Publishing Institute Proceedings, Volume 18(1), no. 11, DOI: 10.3390/ECRS-3-06201.
16.   Hauser L. T., Binh N. A., Hoa P. V., Quan N. H., Timmermans J. (2020) Gap-Free Monitoring of Annual Mangrove Forest Dynamics in Ca Mau Province, Vietnamese Mekong Delta, Using the Landsat-7-8 Archives and Post-Classification Temporal Optimization. Remote Sensing, no. 12, DOI: 10.3390/rs12223729.
17.   Hoang-Phi P., Lam-Dao N., Pham-Van C., Chau-Nguyen-Xuan Q., Nguyen-Van-Anh V., Gummadi S., Le-Van T. (2020) Sentinel-1 SAR Time Series-Based Assessment of the Impact of Severe Salinity Intrusion Events on Spatiotemporal Changes in Distribution of Rice Planting Areas in Coastal Provinces of the Mekong Delta, Vietnam. Remote Sensing, no. 12 (19), DOI: 10.3390/rs12193196.
18.   Huang D., Xu L., Zou S., Liu B., Li H., Pu L., Chi H. (2024) Mapping Paddy Rice in Rice-Wetland Coexistence Zone by Integrating Sentinel-1 and Sentinel-2 Data. Agriculture, no. 14 (3), DOI: 10.3390/agriculture14030345.
19.   Jiang J., Zhang H., Ge J., Sun C., Xu L., Wang C. (2023) Cropland Data Extraction in Mekong Delta Based on Time Series Sentinel-1 Dual-Polarized Data. Remote Sensing, no. 15 (12), DOI: 10.3390/rs15123050.
20.   Lam C-N., Niculescu S., Bengoufa S. (2023) Monitoring and Mapping Floods and Floodable Areas in the Mekong Delta (Vietnam) Using Time-Series Sentinel-1 Images, Convolutional Neural Network, Multi-Layer Perceptron, and Random Forest. Remote Sensing, no. 15 (8), DOI: 10.3390/rs15082001.
21.   Lappe R., Ullmann T., Bachofer F. (2022) State of the Vietnamese Coast-Assessing Three Decades (1986 to 2021) of Coastline Dynamics Using the Landsat Archive. Remote Sensing, no. 14 (10), DOI: 10.3390/rs14102476.
22.   Medina A. J. M., Lopez R. S., Santisteban J. A. Z., Trauco K. M. T., Cayo E. Y. T., Haro N. H., Cruz M. O., Fernández D. G. (2024) An Analysis of the Rice-Cultivation Dynamics in the Lower Utcubamba River Basin Using SAR and Optical Imagery in Google Earth Engine (GEE). Agronomy, no. 14 (3), DOI: 10.3390/agronomy14030557.
23.   Phan H., Le Toan T., Bouvet A. (2021) Understanding Dense Time Series of Sentinel-1 Backscatter from Rice Fields: Case Study in a Province of the Mekong Delta, Vietnam. Remote Sensing, no. 13 (5), DOI: 10.3390/rs13050921.
24.   Saatchi S. (2019) SAR Methods for Mapping and Monitoring Forest Biomass. SAR Handbook: Comprehensive Methodologies for Forest Monitoring and Biomass Estimation. NASA. pp. 207–254. DOI: 10.25966/hbm1-ej07.
25.   Sorokin A., Stepanov A., Dubrovin K., Verkhoturov A. (2024) Enhancement of Comparative Assessment Approaches for Synthetic Aperture Radar (SAR) Vegetation Indices for Crop Monitoring and Identification-Khabarovsk Territory (Russia) Case Study. Remote Sensing, no. 16 (14), DOI: 10.3390/rs16142532.
26.   Sun Z., Luo J., Yang J., Yu Q., Zhang L., Xue K., Lu L. (2020) Nation-Scale Mapping of Coastal Aquaculture Ponds with Sentinel-1 SAR Data Using Google Earth Engine. Remote Sensing, no. 12 (18), DOI: 10.3390/rs12183086.
27.   Tran K. H., Menenti M., Jia L. (2022) Surface Water Mapping and Flood Monitoring in the Mekong Delta Using Sentinel-1 SAR Time Series and Otsu Threshold. Remote Sensing, no. 14 (22), DOI: 10.3390/rs14225721.
28.   Venter Z. S., Barton D. N., Chakraborty T., Simensen T., Singh G. (2022) Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover. Remote Sensing, no. 14 (16), DOI: 10.3390/rs14164101.
29.   Vu T. H., Binh D. V., Tran H. N., Khan M. A., Bui D. D., Stamm J. (2024) Quantifying Spatio-Temporal River Morphological Change and Its Consequences in the Vietnamese Mekong River Delta Using Remote Sensing and Geographical Information System Techniques. Remote Sensing, no. 16 (4), DOI: 10.3390/rs16040707.
30.   Wang C., Wang G., Zhang G., Cui Y., Zhang X., He Y., Zhou Y. (2024) Freshwater Aquaculture Mapping in УHome of Chinese CrawfishФ by Using a Hierarchical Classification Framework and Sentinel-1/2 Data. Remote Sensing, no. 16 (5), DOI: 10.3390/rs16050893.
31.   White L., Brisco B., Dabboor M., Schmitt A., Pratt A. (2015) A Collection of SAR Methodologies for Monitoring Wetlands. Remote Sensing, Volume 7, no. 6, pp. 7615–7645. DOI: 10.3390/rs70607615.
32.   Zhang M., Li Z., Tian B., Zhou J., Tang P. (2016) The backscattering characteristics of wetland vegetation and water-level changes detection using multi-mode SAR: A case study. International Journal of Applied Earth Observation and Geoinformation, no. 45, A, pp. 1–13. DOI: 10.1016/j.jag.2015.10.001.
33.   Zhang T., Tang B-H., Huang L., Chen G. (2022) Rice and Greenhouse Identification in Plateau Areas Incorporating Sentinel-1/2 Optical and Radar Remote Sensing Data from Google Earth Engine. Remote Sensing, no. 14 (22), DOI: 10.3390/rs14225727.
Citation:
Vasilchenko A.A., 
Kulik A.K., 
Vypritsky A.A., 
Balkushkin R.N., 
Nguyen T.H., 
Vu T.M.C., 
(2025) Mapping of agricultural lands of the Mekong delta based on multi-temporal satellite radar data. Geodesy and cartography = Geodeziya i Kartografiya, 86(9), pp. 35-49. (In Russian). DOI: 10.22389/0016-7126-2025-1023-9-35-49
Publication History
Received: 21.10.2024
Accepted: 22.07.2025
Published: 20.10.2025

Content

2025 September DOI:
10.22389/0016-7126-2025-1023-9