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19 ta ish

Ish: Red and photographic infrared linear combinations for monitoring vegetation

  1. Reconstructing the Spatio-Temporal Development of Irrigation Systems in Uzbekistan Using Landsat Time Series

    Jana Edlinger, Christopher Conrad, John P. A. Lamers +2

    MaqolaRemote Sensing in AgricultureRemote Sensing201211 iqtibos
    ABI

  2. Water Productivity Mapping (WPM) Using Landsat ETM+ Data for the Irrigated Croplands of the Syrdarya River Basin in Central Asia

    Alexander E. Platonov, Prasad S. Thenkabail, Çhandrashekhar Biradar +11

    Sharh maqolaRemote Sensing in AgricultureSensors20089 iqtibos
    ABI

  3. Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012

    Christopher Conrad, Sarah Schönbrodt‐Stitt, Fabian Löw +2

    MaqolaRemote Sensing in AgricultureRemote Sensing20168 iqtibos
    ABI

  4. Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology

    Khilola Amankulova, Nizom Farmonov, Uzbekkhon Mukhtorov +1

    MaqolaRemote Sensing in AgricultureGeocarto International20237 iqtibos
    ABI

  5. Evaluating the effects of rapid urbanization on the encroachment of the east Kolkata Wetland ecosystem: a remote sensing and hybrid machine learning approach

    Ismail Mondal, Jatisankar Bandyopadhyay, SK Ariful Hossain +5

    MaqolaLand Use and Ecosystem ServicesEnvironment Development and Sustainability20245 iqtibos
    ABI

  6. Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation

    Nizom Farmonov, Khilola Amankulova, József Szatmári +4

    MaqolaRemote Sensing in AgricultureInternational Journal of Digital Earth20233 iqtibos
    ABI

  7. Extraction of Cotton Information with Optimized Phenology-Based Features from Sentinel-2 Images

    Yuhang Tian, Yanmin Shuai, Congying Shao +7

    MaqolaRemote Sensing in AgricultureRemote Sensing20232 iqtibos
    ABI

  8. Comparison of spectro-biophysical and yield parameters of cotton in irrigated lowlands of Amudaria River

    Shavkat Kenjabaev, Christopher Conrad, Odilbek Eshchanov +3

    MaqolaRemote Sensing in AgricultureInterCarto InterGIS20200 iqtibos
    ABI

  9. Comparison of PlanetScope, Sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression

    Khilola Amankulova, Nizom Farmonov, Parvina Akramova +2

    MaqolaRemote Sensing in AgricultureHeliyon20230 iqtibos
    ABI

  10. Quantifying key vegetation parameters from Sentinel-3 and MODIS over the eastern Eurasian steppe with a Bayesian geostatistical model

    Zhenwang Li, Lei Ding, Beibei Shen +11

    MaqolaRemote Sensing in AgricultureThe Science of The Total Environment20230 iqtibos
    ABI

  11. OCHIQ SUN’IY YO`LDOSH MA’LUMOTLARIDAN FOYDALANISHNING KARTOGRAFIK JIHATLARI

    Nodira Xudayberganova

    MaqolaRemote Sensing in AgricultureEurasian Journal of Academic Research20230 iqtibos
    ABI

  12. Integrating the Sentinel-1, Sentinel-2 and topographic data into soybean yield modelling using machine learning

    Khilola Amankulova, Nizom Farmonov, Khasan Omonov +2

    MaqolaRemote Sensing in AgricultureAdvances in Space Research20240 iqtibos
    ABI

  13. A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery

    Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei +7

    MaqolaRemote Sensing in AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing20240 iqtibos
    ABI

  14. Spatiotemporal analysis and identifying the driving forces of land use change in the Abay district (Karagandy Region, Kazakhstan)

    Onggarbek Alipbeki, Pavel Grossul, Daniyar Rakhimov +5

    MaqolaLand Use and Ecosystem ServicesE3S Web of Conferences20240 iqtibos
    ABI

  15. Sugarcane Mapping and Harvest Monitoring using ML and Google Earth Engine

    Ala Ud Din Awan, Muhammad Hasan Mustafa, Ali Abdul Razzaq Al Tahir +3

    MaqolaSugarcane Cultivation and ProcessingE3S Web of Conferences20240 iqtibos
    ABI

  16. Quantifying Grazing Intensity from Aboveground Biomass Differences Using Satellite Data and Machine Learning

    Ritu Su, Yong Yang, Shujuan Chang +4

    MaqolaRemote Sensing in AgricultureAgronomy20250 iqtibos
    ABI

  17. 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

    MaqolaRemote Sensing in AgricultureLand20260 iqtibos
    ABI

  18. Impact of Soil Salinization and Groundwater Levelson Vegetation Cover in Irrigated Agroecosystems: An Analysis Based on GIS and Vegetation Indices

    Mamur M. Akhunboboyev, Ikhtiyor Zikirov, Aziz Kenjayev

    MaqolaSoil Geostatistics and MappingJ Open20260 iqtibos
    ABI

  19. Degradation processes and the effectiveness of intensive grazing in foothill pastures of Uzbekistan

    Rukhiddin Turaev, Kamola Khaitova, Ramziddin Sharopov +7

    MaqolaRangeland Management and Livestock EcologyFrontiers in Sustainable Food Systems20260 iqtibos
    ABI