Towards improved land use mapping of irrigated croplands: performance assessment of different image classification algorithms and approaches

Autor: Amit Kumar Basukala, Carsten Oldenburg, Jürgen Schellberg, Murodjon Sultanov, Olena Dubovyk

Publikováno v: European Journal of Remote Sensing, Vol 50, Iss 1, Pp 187-201 (2017)

Accurate agricultural land use (LU) map is essential for many agro-environmental applications. With advances in technology, object-based image classification and non-parametric machine learning algorithms evolved. Still, no particular method has univ

Externí odkaz: https://doaj.org/article/50604a04c15e4658b677847bf04eb2a5

Combining remote sensing and modeling approaches to assess soil salinity in irrigated areas of the Aral Sea Basin

Autor: John P. A. Lamers, Mirzakhayot Ibrakhimov, Christopher Conrad, Murodjon Sultanov, Kakhramon Djumaboev, Akmal Akramkhanov, Usman Khalid Awan

Publikováno v: Central Asian Journal of Water Research, Vol 5, Iss 2, Pp 64-81 (2020)
Central Asian Journal of Water Research, Vol 5, Iss 2, Pp 101-117 (2020)

Accurate assessment of the soil salinization is an important step for mitigation of agricultural land degradation. Remote sensing (RS) is widely used for salinity assessment, but knowledge on prediction precision is lacking. A RS-based salinity asses

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e99aff034d6d5444493c8ffb0aa32ce
https://drive.google.com/file/d/1I9EuBatDAOUJQr9ZtVpeVISv8cSPsrom/view

Optimization of Information Processes of Multilevel Intelligent Systems

Autor: Gayrat Ishankhodjayev, Murodjon Sultanov, Dilmurod Mirzaahmedov, Dilmurod Azimov

Publikováno v: The 5th International Conference on Future Networks & Distributed Systems.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e2bb903d7baff1df5f064d053eff4c9f
https://doi.org/10.1145/3508072.3508212

Modelling End-of-Season Soil Salinity in Irrigated Agriculture Through Multi-temporal Optical Remote Sensing, Environmental Parameters, and In Situ Information

Autor: Christopher Conrad, Akmal Akramkhanov, Murodjon Sultanov, Mirzakhayot Ibrakhimov, Christian Bauer

Publikováno v: PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 86:221-233

Accurate information of soil salinity levels enables for remediation actions in long-term operating irrigation systems with malfunctioning drainage and shallow groundwater (GW), as they are widespread throughout the Aral Sea Basin (ASB). Multi-tempor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da8022f27de1d0e416112caae525b2c4
https://doi.org/10.1007/s41064-019-00062-3

PROMOTING OF THE GEOSPATIAL METHODS: INTRODUCTION INTO INTERNATIONAL EDUCATIONAL COURSES IN ENVIRONMENTAL PROTECTION AND DISASTER RISK MANAGEMENT

Autor: Micael Runnström, Dominykas Šlikas, Abdurashit Nizamiev, Sattarbergan Avezov, António Amaro Costa Vieira, Muzaffar Matchanov, Mayra Bekaeva, Erkinbek Toktoraliev, Justyna Kozlovska, Viktor Statov, Murodjon Sultanov, Eimuntas Parseliunas, Eleni Tomai, Mirabel Santos, Margarita Kokla, Darius Popovas, Jorge Rocha, Ali Mansourian, Salauat Abdireimov, Ruslan Akmatov, Damira Tilenova, Arunas Buga, Romuald Obuchovski, Gulshaan Ergeshova, Ruslan Umaraliev, Jurate Suziedelyte-Visockiene, Marinos Kavouras, Roger Groth, Petter Pilesjö

Publikováno v: EDULEARN Proceedings.

Different types of disasters such as draughts, floods, landslides, debris flows, earthquakes, and extreme temperatures have struck the region of Central Asia and other parts of the World as well. Spatial Information Science and Technologies, includin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b9d471e4b35dda31f212ac943289d95c
https://doi.org/10.21125/edulearn.2019.0739