EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 401 (2023) E3S Web of Conf., 401 (2023) 02002 References
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 02002
Number of page(s) 9
Section Ecology, Hydropower Engineering and Modeling of Physical Processes
DOI https://doi.org/10.1051/e3sconf/202340102002
Published online 11 July 2023
  1. Aoshima I, Uchida K, Ushimaru A and Sato M 2018 The influence of subjective perceptions on the valuation of green spaces in Japanese urban areas Urban For. Urban Green. 34 166–74 [CrossRef] [Google Scholar]
  2. B U M, Aslanov I and Lapasov J 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]
  3. Kobayashi N, Tani H, Wang X and Sonobe R 2020 Crop classification using spectral indices derived from Sentinel-2A imagery J. Inf. Telecommun. 4 67–90 [Google Scholar]
  4. Malik M S, Shukla J P and Mishra S 2019 Relationship of LST, NDBI and NDVI using landsat-8 data in Kandaihimmat watershed, Hoshangabad, India Indian J. Geo-Marine Sci. 48 25–31 [Google Scholar]
  5. Tam N T, Dat H T, Tam P M, Trinh V T and Hung N T 2020 Agricultural Land-Use Mapping with Remote Sensing Data Agricultural Land-Use Mapping with Remote Sensing Data [Google Scholar]
  6. 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]
  7. Aslanov I, Kholdorov S, Ochilov S, Jumanov A, Jabbarov Z, Jumaniyazov I and Namozov N 2021 Evaluation of soil salinity level through using Landsat-8 OLI in Central Fergana valley, Uzbekistan ed V Kankhva E3S Web Conf. 258 03012 [CrossRef] [EDP Sciences] [Google Scholar]
  8. Chezgi J 2019 Application of SWAT and MCDM Models for Identifying and Ranking Suitable Sites for Subsurface Dams (Elsevier Inc.) [Google Scholar]
  9. Zheng Z, Zeng Y, Li S and Huang W 2016 A new burn severity index based on land surface temperature and enhanced vegetation index Int. J. Appl. Earth Obs. Geoinf. 45 84–94 [Google Scholar]
  10. 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]
  11. Denton O A, Aduramigba-Modupe V O, Ojo A O, Adeoyolanu O D, Are K S, Adelana A O, Oyedele A O, Adetayo A O and Oke A O 2017 Assessment of spatial variability and mapping of soil properties for sustainable agricultural production using geographic information system techniques (GIS) Cogent Food Agric. 3 1–12 [Google Scholar]
  12. 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]
  13. Bhunia G S, Shit P K, Pourghasemi H R and Edalat M 2019 Prediction of Soil Organic Carbon and its Mapping Using Regression Analyses and Remote Sensing Data in GIS and R (Elsevier Inc.) [Google Scholar]
  14. Aslanov I 2022 Preface IOP Conf. Ser. Earth Environ. Sci. 1068 9–11 [Google Scholar]
  15. Mladen Jić, Ivan Pčak and Tomislav J 2013 Methodology to develop land capability maps using geo-information systems (GIS) African J. Agric. Res. 8 1354–60 [Google Scholar]
  16. Yin H, Prishchepov A V., Kuemmerle T, Bleyhl B, Buchner J and Radeloff V C 2018 Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series Remote Sens. Environ. 210 12–24 [Google Scholar]
  17. Mukhtorov U 2021 Stimulating the efficient use of agricultural land based on the improved methodology for land tax calculation ed V Breskich and S Uvarova E3S Web Conf. 244 03013 [CrossRef] [EDP Sciences] [Google Scholar]
  18. 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]
  19. Lehoczky M and Abdurakhmonov Z 2021 Present Software of photogrammetric processing of digital images ed L Foldvary and I Abdurahmanov E3S Web Conf. 227 04001 [CrossRef] [EDP Sciences] [Google Scholar]
  20. 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]
  21. Chen W, Pourghasemi H R, Zhang S and Wang J 2019 A Comparative Study of Functional Data Analysis and Generalized Linear Model Data-Mining Techniques for Landslide Spatial Modeling (Elsevier Inc.) [Google Scholar]
  22. Fabre S, Gimenez R, Elger A and Rivière T 2020 Unsupervised Monitoring Vegetation after the Closure of an Ore Processing Site with Multi-Temporal Optical Remote Sensing Sensors 20 4800 [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.