Open Access
Issue
E3S Web Conf.
Volume 386, 2023
Annual International Scientific Conferences: GIS in Central Asia – GISCA 2022 and Geoinformatics – GI 2022 “Designing the Geospatial Ecosystem”
Article Number 02004
Number of page(s) 11
Section GIS in Water Resources Management
DOI https://doi.org/10.1051/e3sconf/202338602004
Published online 12 May 2023
  1. S. Abdurakhmonov, I. Abdurahmanov, D. Murodova, A. Pardaboyev, N. Mirjalolov, A. Djurayev, InterCarto, InterGIS 26 (2020) [Google Scholar]
  2. I. Musaev, A. Bokiev, M. Botirova, The Value of the Cards in Water Basins with the Installation of Solar Power Plants in Yangiyul District of Tashkent Province of Uzbekistan, E3S Web Conf. 227 05004 (2021) [CrossRef] [EDP Sciences] [Google Scholar]
  3. Z. Abdullaev, D. Kendjaeva, S. Xikmatullaev, Innovative approach of distance learning in the form of online courses, International Conference on Information Science and Communications Technologies (ICISCT) (IEEE) (2019) [Google Scholar]
  4. R. Oymatov, Z. Mamatkulov, M. Reimov, R. Makhsudov, R. Jaksibaev, Methodology development for creating agricultural interactive maps, IOP Conf. Ser. Earth Environ. Sci. 868. (2021) [Google Scholar]
  5. R. Oymatov, S. Safayev, Creation of a complex electronic map of agriculture and agro-geo databases using GIS techniques, E3S Web Conf. 258 (2021) [Google Scholar]
  6. Y. Qin, Z. Jixian, Methodology to develop land capability maps using geo-information systems (GIS), J. Geo-spatial Inf. Sci. 5 (2002) [Google Scholar]
  7. F. Tromboni, L. Bortolini, M. Martello, The use of water in the agricultural sector: A procedure for the assessment of large-scale irrigation efficiency with GIS, J. Irrig. Drain. 63 (2014) [Google Scholar]
  8. M. I. Ramos, A. J. Gil, F. R. Feito, A. García-Ferrer, Using GPS and GIS tools to monitor olive tree movements, J. Comput. Electron. Agric. 57 (2007) [Google Scholar]
  9. P. S. Thenkabail, Water productivity mapping using remote sensing data of various resolutions to support “more crop per drop”, 3 (2009) [Google Scholar]
  10. S. Mori, M. Kato, T. Ido, GISELA GIS-based evaluation of land use and agriculture market analysis under global warming, J. Appl. Energy 87 (2010) [Google Scholar]
  11. A. Kavvadias, E. Psomiadis, M. Chanioti, E. Gala, S. Michas, Precision agriculture Comparison and evaluation of innovative very high resolution (UAV) and LandSat data CEUR, Workshop Proc. 1498 (2015) [Google Scholar]
  12. O. A. Denton, V. O. Aduramigba-Modupe, A. O. Ojo, O. D. Adeoyolanu, K. S. Are, A. O. Adelana, A. O. Oyedele, A. O. Adetayo, A. O. Oke, Assessment of spatial variability and mapping of soil properties for sustainable agricultural production using geographic information system techniques (GIS), J. Cogent Food Agric. 3 (2017) [Google Scholar]
  13. B. Basso, L. Liu, Seasonal crop yield forecast: Methods, applications, and accuracies, 154 (Elsevier Inc.) (2019) [Google Scholar]
  14. Z. Mamatkulov, K. Abdivaitov, S. Hennig, E. Safarov, Land Suitability Assessment for Cotton Cultivation-A Case Study of Kumkurgan District, Uzbekistan, J. International Journal of Geoinformatics 181 (2022) [Google Scholar]
  15. S. Nikolaos, K. Kleomenis, D. Elias, S. Panagiotis, L. Panagiota, P. Vagelis, C. Christos, A Robust Remote Sensing–Spatial Modeling–Remote Sensing (R-M-R) Approach for Flood Hazard Assessment (Elsevier Inc.) (2019) [Google Scholar]
  16. P. C. Towers, A. Strever, C. Poblete-Echeverría, Comparison of vegetation indices for leaf area index estimation in vertical shoot positioned vine canopies with and without grenbiule hail-protection netting, J. Remote Sens. 11 (2019) [Google Scholar]
  17. J. Xue, B. Su, Significant remote sensing vegetation indices: A review of developments and applications, J. Sensors (2017) [Google Scholar]
  18. B. Y. Tam, W. A. Gough, T. Mohsin, The impact of urbanization and the urban heat island effect on day to day temperature variation, J. Urban Clim. 12 (2015) [Google Scholar]
  19. M. V. Wojtaszek, L. Ronczyk, Z. Mamatkulov, M. Reimov, Object-based approach for urban land cover mapping using high spatial resolution data, J. E3S Web of Conferences (2021) [Google Scholar]
  20. C. Alexander, Normalised difference spectral indices and urban land cover as indicators of land surface temperature (LST), Int. J. Appl. Earth Obs. Geoinf. 86 (2020) [Google Scholar]
  21. I. Aoshima, K. Uchida, A. Ushimaru, M. Sato, The influence of subjective perceptions on the valuation of green spaces in Japanese urban areas, J. Urban For. Urban Green. 34 (2018) [Google Scholar]
  22. H. R. Pourghasemi, N. Kariminejad, M. Hosseinalizadeh, A Conceptual Model of the Relationship Between Plant Distribution and Desertification Trend in Rangeland Ecosystems Using R Software, (Elsevier Inc.) (2019) [Google Scholar]
  23. A. Arabameri H. R. Pourghasemi, Spatial Modeling of Gully Erosion Using Linear and Quadratic Discriminant Analyses in GIS and R Spatial Modeling in GIS and R for Earth and Environmental Sciences, (Elsevier) (2019) [Google Scholar]
  24. B. Saipova, Z. Mamatkulov, Altiev A, M. Rajapbaev, K. Bekzod, Importance of land use and land cover change analyze in land resource management, AIP Conference Proceedings 2432(1) 040038 (2022) [CrossRef] [Google Scholar]
  25. M. Amiri, H. R. Pourghasemi, A. Arabameri, A. Vazirzadeh, H. Yousefi, S. Kafaei, Prioritization of Flood Inundation of Maharloo Watershed in Iran Using Morphometric Parameters Analysis and TOPSIS MCDM Model (Elsevier Inc.) (2019) [Google Scholar]
  26. M. H. Shahrokhnia, S. H. Ahmadi, Remotely Sensed Spatial and Temporal Variations of Vegetation Indices Subjected to Rainfall Amount and Distribution Properties, (Elsevier Inc.) (2019) [Google Scholar]
  27. K. Khasanov, A. Ahmedov, Comparison of Digital Elevation Models for the designing water reservoirs: A case study Pskom water reservoir, E3S Web of Conferences 264 03058 (2021) [CrossRef] [EDP Sciences] [Google Scholar]
  28. K. K. Bekanov, E. Safarov, Sh. Prenov, B. Yusupov, Optimization of Agricultural Land Use in Chimbay District of the Republic of Karakalpakstan Using GIS Technologies, International Journal of Geoinformatics 18 (2022) [Google Scholar]
  29. S. Abdurakhmonov, E. Safarov, M. Yakubov, S. Prenov, Review of mapping regional demographic processes using innovative methods and technologies, E3S Web of Conferences (2021) [Google Scholar]
  30. V. Balázsik, Z. Tóth, I. Abdurahmanov, Analysis of Data Acquisition Accuracy with UAV, Int. J. Geoinformatics 17 (2021) [Google Scholar]
  31. A. Babajanov, R. Abdiramanov, I. Abdurahmanov, U. Islomov, Advantages of formation non-agricultural land allocation projects based on GIS technologies, E3S Web Conf. 227 (2021) [Google Scholar]
  32. Z. Mamatkulov, J. Rashidov, G. Eshchanova, M. Berdiev, Z. Abdurakhmonov, Visualization and analysing the state of hydrotechnical construction via geospatial methods (on the example of Kharshi pumping stations cascade), IOP Conference Series: Earth and Environmental Science 614 (IOP Publishing Ltd) (2020) [Google Scholar]
  33. S. Khasanov, R. Oymatov, R. Kulmatov, IOP Conf. Ser.: Earth Environ. Sci. 1142, 012109 (2023) [CrossRef] [Google Scholar]
  34. Lehoczky M. Siki Z., Geodkart 72, 23 (2020) [CrossRef] [Google Scholar]
  35. S. Egamberdiev, M. Kholmurotov, E. Berdiev, T. Ochilov, R. Oymatov, Z. Abdurakhmonov, E3S Web Conf. 284, 03015 (2021) [CrossRef] [EDP Sciences] [Google Scholar]

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