Open Access
Issue
E3S Web of Conf.
Volume 401, 2023
V International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2023)
Article Number 02004
Number of page(s) 8
Section Ecology, Hydropower Engineering and Modeling of Physical Processes
DOI https://doi.org/10.1051/e3sconf/202340102004
Published online 11 July 2023
  1. Nguyen K A, Liou Y A, Tran H P, Hoang P P and Nguyen T H 2020 Soil salinity assessment by using near-infrared channel and Vegetation Soil Salinity Index derived from Landsat 8 OLI data: a case study in the Tra Vinh Province, Mekong Delta, Vietnam Prog. Earth Planet. Sci. 7 0–3 [CrossRef] [Google Scholar]
  2. Zhu C, Ding J, Zhang Z, Wang J, Chen X, Han L, Shi H and Wang J 2023 Soil salinity dynamics in arid oases during irrigated and non‐irrigated seasons L. Degrad. Dev. [Google Scholar]
  3. Commons S 2018 Comparison Of Sentinel-2 And Landsat 8 OLI In The Mapping Of Soil Salinity In Hyde County , North Carolina [Google Scholar]
  4. Bannari A, Hameid Mohamed Musa N, Abuelgasim A and El-Battay A 2020 Sentinel-MSI and Landsat-OLI Data Quality Characterization for High Temporal Frequency Monitoring of Soil Salinity Dynamic in an Arid Landscape IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 13 2434–50 [CrossRef] [Google Scholar]
  5. Mamatkulov Z, Safarov E, Oymatov R, Abdurahmanov I and Rajapbaev M 2021 Application of GIS and RS in real time crop monitoring and yield forecasting: a case study of cotton fields in low and high productive farmlands ed L Foldvary and I Abdurahmanov E3S Web Conf. 227 03001 [CrossRef] [EDP Sciences] [Google Scholar]
  6. Oymatov R and Safayev S 2021 Creation of a complex electronic map of agriculture and agro-geo databases using GIS techniques E3S Web Conf. 258 1–12 [Google Scholar]
  7. Rakhmonov S, Umurzakov U, Rakhmonov K, Bozarov I and Karamatov O 2021 Land Use and Land Cover Change in Khorezm, Uzbekistan ed L Foldvary and I Abdurahmanov E3S Web Conf. 227 01002 [CrossRef] [EDP Sciences] [Google Scholar]
  8. Mukhtorov U, Aslanov I, Lapasov J, Eshnazarov D and Bakhriev M 2023 Creating Fertilizer Application Map via Precision Agriculture Using Sentinel-2 Data in Uzbekistan Uzbekkhon ed A Beskopylny, M Shamtsyan and V Artiukh Springer Int. Publ. 575 1915–21 [Google Scholar]
  9. Islomov S, Aslanov I, Shamuratova G, Jumanov A, Allanazarov K, Daljanov Q, Tursinov M and Karimbaev Q 2023 Monitoring of Land and Forest Cover Change Dynamics Using Remote Sensing and GIS in Mountains and Foothill of Zaamin, Uzbekistan ed A Beskopylny, M Shamtsyan and V Artiukh Springer Int. Publ. 575 1908–14 [Google Scholar]
  10. Kholdorov S, Jabbarov Z, Aslanov I, Jobborov B and Rakhmatov Z 2021 Analysing effect of cement manufacturing industry on soils and agricultural plants ed A Zheltenkov and A Mottaeva E3S Web Conf. 284 02005 [CrossRef] [EDP Sciences] [Google Scholar]
  11. Aslanov I, Jumaniyazov I and Embergenov N 2023 Remote Sensing for Land Use Monitoring in the Suburban Areas of Tashkent, Uzbekistan ed A Beskopylny, M Shamtsyan and V Artiukh Springer Int. Publ. 575 1899–907 [Google Scholar]
  12. Mehammednur Seid N, Yitaferu B, Kibret K and Ziadat F 2013 Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed Appl. Environ. Soil Sci. 2013 1–11 [Google Scholar]
  13. Shahabi M, Jafarzadeh A A, Neyshabouri M R, Ghorbani M A and Kamran K V 2016 Spatial modeling of soil salinity using multiple linear regression , Ordinary kriging and artificial neural network methods Spatial modeling of soil salinity using multiple linear regression , ordinary kriging and artificial neural network methods Introdu [Google Scholar]
  14. Teshaev N, Mamadaliyev B, Ibragimov A and Khasanov S 2020 The soil-adjusted vegetation index for soil salinity assessment in Uzbekistan InterCarto. InterGIS 26 324–33 [CrossRef] [Google Scholar]
  15. Zhang X and Huang B 2019 Prediction of soil salinity with soil-reflected spectra: A comparison of two regression methods Sci. Rep. 9 1–8 [CrossRef] [Google Scholar]
  16. Novais J J, Lacerda M P C, Sano E E, Demattê J A M and Oliveira M P 2021 Digital Soil Mapping Using Multispectral Modeling with Landsat Time Series Cloud Computing Based Remote Sens. 13 1181 [CrossRef] [Google Scholar]
  17. Abdurakhmonov S, Abdurahmanov I, Murodova D, Pardaboyev A, Mirjalolov N and Djurayev A 2020 Development of demographic mapping method based on gis technologies InterCarto, InterGIS 26 319–28 [CrossRef] [Google Scholar]
  18. Gujrati A and Jha V B 2018 SURFACE WATER DYNAMICS OF INLAND WATER BODIES OF INDIA USING GOOGLE EARTH ENGINE ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. IV5 467–72 [CrossRef] [Google Scholar]
  19. Nguyen C T, Chidthaisong A, Kieu Diem P and Huo L-Z 2021 A Modified Bare Soil Index to Identify Bare Land Features during Agricultural Fallow-Period in Southeast Asia Using Landsat 8 Land 10 231 [Google Scholar]
  20. Allbed A and Kumar L 2013 Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review Adv. Remote Sens. 02 373–85 [CrossRef] [Google Scholar]
  21. Al-khaier F 2003 Soil Salinity Detection Using Satellite Remote Sensing African J. Enviromental Sci. Technol. 2 7–20 [Google Scholar]
  22. Hartemink A E and Sonneveld M P W 2013 Soil maps of The Netherlands Geoderma 204–205 1–9 [CrossRef] [Google Scholar]
  23. Alikhanov B, Alikhanova S, Oymatov R, Fayzullaev Z and Pulatov A 2020 Land cover change in Tashkent province during 1992-2018 IOP Conf. Ser. Mater. Sci. Eng. 883 [Google Scholar]
  24. Kavvadias A, Psomiadis E, Chanioti M, Gala E and Michas S 2015 Precision agriculture - Comparison and evaluation of innovative very high resolution (UAV) and LandSat data CEUR Workshop Proc. 1498 376–86 [Google Scholar]
  25. Pierce F J and Clay D 2007 GIS Applications in Agriculture (London) [CrossRef] [Google Scholar]
  26. S. Egamberdiev, M Kholmurotov, E. Berdiev, T. Ochilov, R. Oymatov, and Z. Abdurakhmonov. Determination of substrate composition, light, and temperature for interior plant growth. E3S Web of Conferences 284, 03015 (2021) [CrossRef] [EDP Sciences] [Google Scholar]
  27. S. Khasanov, R. Oymatov and R. Kulmatov. Canopy temperature: as an indicator of soil salinity (a casestudy in Syrdarya province, Uzbekistan). IOP Conf. Series: Earth and Environmental Science, 1142 (2023) 012109, (2023) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.