Purpose: to improve the process of hydrogeological and reclamation monitoring of irrigated lands using the Interpolation method (Kriging, IDW).
Materials and methods. During the research, methods to obtain data depending on the geolocation of base points in the WSC 84 coordinate system, a method for measuring hydrogeological parameters on the field, methods for statistical processing of results, methods for creating analytical models Map Alegebra and IDW Geodatabase interpolation were used.
Results and discussion. The data obtained for the regions of the Syrdarya region by NDVI methods using Kriging, IDW interpolation and Landsat images were assessed, and the images were analyzed on the basis of ArcGIS geographic objects. Monitoring data on groundwater levels in Mirzaabad, Akaltyn and Khavast districts are disclosed in quantitative terms. At the initial stage, the structure of the geoinformation model of the Syrdarya region is organized on the basis of the ArcCatalog software tool of the ArcGIS software environment. Based on the geoinformation model, computational experiments were carried out to study the impact of changes in the level and mineralization of groundwater in the Syrdarya region on other objects. The use of the Landsat satellite to assess groundwater levels, soil salinity, plant temperature in crop areas, and the correlation between plant development and soil salinity was stud-ied.
Conclusions. Using the Map Alegebra and Interpolation IDW methods, remote monitoring of the groundwater level and mineralization in the Syrdarya region has been improved, a method of increasing the efficiency of monitoring the state of hydrogeological systems using GIS has been developed, hydrogeological reclamation monitoring using Landsat satellite images has been justified, as well as a method for analyzing soil salinity using NDVI images has been developed.
monitoring, irrigated lands, GIS technologies, geoinformation data, geoinformation model, Landsat, NDVI, ArcGIS, Syrdarya region
Dolidudko A. I. Monitoring of irrigated lands using geographic information technologies. Ways of Increasing the Efficiency of Irrigated Agriculture. 2024;92(1):99–120. (In Russ.).
1. Krivokoneva E.Yu., Goncharova I.Yu., 2011. [Land monitoring using GIS technologies]. Nauchnyy zhurnal Rossiyskogo NII problem melioratsii, no. 4(04), 4 p., available: https:rosniipm-sm.ru/article?n=479 [accessed 15.12.2023], EDN: OKJFCJ. (In Russian).
2. Gorokhova I.N., Filippov D.V., 2017. Primenenie geoinformatsionnykh tekhnologiy i materialov kosmicheskoy s"emki dlya monitoringa oroshaemykh zemel' Svetloyarskoy orositel'noy sistemy (Volgogradskaya oblast') [The application of geoinformation technology and aerospace photography for irrigate soils monitoring of Svetloyarsky Irrigation System (Volgograd region)]. Issledovanie Zemli iz kosmosa [Earth Research from Space], no. 4, pp. 79-87, DOI: 10.7868/S020596141704008X, EDN: ZGIHHV. (In Russian).
3. Chembarisov E.I., Rakhimova M.N., Dolidudko A.I., 2021. Gidrologicheskie i gidrokhimicheskie kharakteristiki kollektorno-drenazhnykh vod srednego techeniya basseyna r. Syrdar'i [Hydrological and hydrochemical characteristics of collector-drainage waters of the middle reaches of the Syrdarya river basin]. Gidrometeorologiya, izmenenie klimata i monitoring okruzhayushchey sredy: aktual'nye problemy i puti ikh resheniya: mezhdunarodnaya nauchno-prakt. konferentsiya [Hydrometeorology, Climate Change and Environmental Monitoring: Current Problems and Ways to Solve Them: International Scientific-Practical Confer-ence]. Tashkent, pp. 147-150. (In Russian).
4. Jamoljon D., Akmal A., 2021. Monitoring of groundwater status based on geoinformation systems and technologies. 2021 International Conference on Information Science and Communications Technologies (ICISCT). Tashkent, Uzbekistan, pp. 1-4, DOI: 10.1109/ICISCT52966.2021.9670175, EDN: LMVFST.
5. Akmalov Sh.B., Ruziev I.M., 2018. Geographical object based image analysis (GEOBIA). Sustainable Agriculture, no. 1(1), pp. 63-64.
6. Akmalov Sh.B., Ruziev I.M., 2019. The role of geo information (GIS) technologies in water management. Sustainable Agriculture, no. 1(2), pp. 9-11.
7. Ivushkin K., Bartholomeus H., Bregt A.K., Pulatov A., 2017. Satellite thermography for soil salinity assessment of cropped areas in Uzbekistan. Land Degradation & Development, no. 28(3), pp. 870-877, DOI: 10.1002/ldr.2670, EDN: XNBSDW.
8. Platonov A.E., Vincent B., 2005. Ispol'zovanie sputnikovykh snimkov dlya otsenki orosheniya [Using satellite images to assess irrigation]. Informatsionnaya sistema i distantsionnyy sbor dannykh [Information System and Remote Sensing]. Pt. 2, Tashkent, pp. 68-84. (In Russian).
9. Vargas R., Pankova E.I., Balyuk S.A., Krasilnikov P.V., Khasankhanova G.M. (eds.), 2017. Rukovodstvo po upravleniyu zasolennymi pochvami [Guide for Saline Soil Management]. Rome, FAO, 144 p. (In Russian).
10. Yusupov G., Ruziev I., Nurjanov S., 2020. On the establishment of the correlation dependence of results of physical properties, dynamic probing and filtration coefficient from the granulometric composition of alluvial sands in the valley of the Amudarya river. IOP Conference Series: Materials Science and Engineering, 883, 012035, DOI: 10.1088/1757-899X/883/1/012035.
11. Bekmukhamedov N.E., Ayupov K.A., Tsychueva N.Yu., Iskakov R.T., 2019. Metodika otsenki oroshayemykh zemel' po dannym distantsionnogo zondirovaniya Zemli [Methodology for assessing irrigated lands based on Earth remote sensing data]. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa: materialy 17-y Vserossiyskoy otkrytoy konferentsii [Modern Problems of Remote Sensing of the Earth from Space: Proc. of the 17th All-Russian Open Conference]. Moscow, Institute of Space Sciences RAS, p. 405, EDN: ZED-WNY. (In Russian).
