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Nozimjon Teshaev

15 works

Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Kari Niyazi str., 39, 100000, Tashkent, Uzbekistan,

  1. The soil-adjusted vegetation index for soil salinity assessment in Uzbekistan

    Nozimjon Teshaev, Bunyod Mamadaliyev, Azamjon Ibragimov +1

    ArticleEngineering and Agricultural InnovationsInterCarto InterGIS202050 citations
    ABI

  2. Analysis of soil salinity in irrigated agricultural land using remote sensing data: case study of Chinoz district in Uzbekistan

    Rustam Oymatov, Nozimjon Teshaev, Rahimjon Makhsudov +1

    ArticleEngineering and Agricultural InnovationsE3S Web of Conferences202318 citations
    ABI

  3. Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine

    I. A. Aslanov, Nozimjon Teshaev, Kholmurod Khayitov +3

    ArticleRangeland Management and Livestock EcologyE3S Web of Conferences202315 citations
    ABI

  4. Characterizing land surface dynamics in Aral Sea basin of Uzbekistan using climatic and remote sensing data to project future conditions

    I. A. Aslanov, Nozimjon Teshaev, Zаfаrjon Jаbbarov +4

    ArticleTransboundary Water Resource ManagementE3S Web of Conferences20243 citations
    ABI

  5. Monitoring Trends of SO<sub>2</sub> level Using Time-Series Sentinel-5 Images Based on Google Earth Engine

    Bakhodir Muslimbekov, Nozimjon Teshaev, Sarvar Abdurakhmonov +1

    ArticleAir Quality Monitoring and ForecastingE3S Web of Conferences20243 citations
    ABI

  6. Importance of Big Data variables in Agriculture: A comprehensive literature review with a particular focus on variables

    Jasmina Gerts, Sayidjakhon Khasanov, Erkin Karimov +1

    Review articleSmart Agriculture and AIE3S Web of Conferences20242 citations
    ABI

  7. Advances and Prospects in Machine Learning for GIS and Remote Sensing: A Comprehensive Review of Applications and Research Frontiers

    Nozimjon Teshaev, Bobomurod Makhsudov, Izzatilla Ikramov +1

    Review articleRemote Sensing in AgricultureE3S Web of Conferences20241 citations
    ABI

  8. Analyses of Land Use Land Cover Change Detection of the Ugam Chatkal National Park, Uzbekistan

    Mukhiddin Juliev, Nozimjon Teshaev, Gulnora Djalilova +3

    ArticleEngineering and Agricultural Innovations20240 citations
    ABI

  9. Assessment of forest fires in Zaamin national park using remote sensing: Comparative analysis of NBR and NDVI

    Nozimjon Teshaev, Aziz Inamov, Kurbon Juraev

    ArticleFire effects on ecosystemsAIP conference proceedings20250 citations
    ABI

  10. Temporal evolution of climate-related land changes in Zarafshan Valley: MODIS and google earth engine perspective

    Rustam Oymatov, Nozimjon Teshaev, I. A. Aslanov +1

    ArticleRemote Sensing in AgricultureAIP conference proceedings20250 citations
    ABI

  11. Comparative analysis of Random Forest and Support Vector Machine for LULC classification in Tashkent Region using Landsat-8 imagery

    Nuriddin Mirjalalov, Nozimjon Teshaev, Eshkabul Safarov +3

    ArticleLand Use and Ecosystem ServicesInterCarto InterGIS20250 citations
    ABI

  12. Monitoring climate dynamics and cryospheric changes in Ugam Chatkal National Park, Uzbekistan: a remote sensing and GIS-based analysis

    Asamberdi Egamberdiev, Nozimjon Teshaev, Bakhodir Abdimuminov +3

    ArticleCryospheric studies and observationsInterCarto InterGIS20250 citations
    ABI

  13. A Machine Learning-Validated Comparison of LAI Estimation Methods for Urban–Agricultural Vegetation Using Multi-Temporal Sentinel-2 Imagery in Tashkent, Uzbekistan

    Bunyod Mamadaliev, N Kranjcic, S K Khamidjonov +1

    ArticleRemote Sensing in AgricultureLand20260 citations
    ABI

  14. MULTI-SENSOR INTEGRATION OF ENMAP HYPERSPECTRAL, MULTISPECTRAL, AND SAR DATA FOR CROP MONITORING IN IRRIGATED AGRICULTURE: A MACHINE LEARNING COMPARATIVE STUDY

    Nozimjon Teshaev, Bobomurod Makhsudov

    OtherZenodo (CERN European Organization for Nuclear Research)20260 citations
    ABI

  15. MULTI-SENSOR INTEGRATION OF ENMAP HYPERSPECTRAL, MULTISPECTRAL, AND SAR DATA FOR CROP MONITORING IN IRRIGATED AGRICULTURE: A MACHINE LEARNING COMPARATIVE STUDY

    Nozimjon Teshaev, Bobomurod Makhsudov

    OtherZenodo (CERN European Organization for Nuclear Research)20260 citations
    ABI