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Работы, цитирующие эту работу

Работ: 13

Работа: Overview of the radiometric and biophysical performance of the MODIS vegetation indices

  1. Impact assessment of soil salinity on crop production in Uzbekistan and its global significance

    Sayidjakhon Khasanov, Rashid Kulmatov, Fadong Li +7

    СтатьяSoil and Environmental StudiesAgriculture Ecosystems & Environment2022Цитирований: 30
    ABI

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

    Khilola Amankulova, Nizom Farmonov, Uzbekkhon Mukhtorov +1

    СтатьяRemote Sensing in AgricultureGeocarto International2023Цитирований: 7
    ABI

  3. Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan

    Christopher Conrad, Maren Rahmann, Miriam Machwitz +3

    СтатьяRemote Sensing in AgricultureGlobal and Planetary Change2013Цитирований: 7
    ABI

  4. Sensitivity of Landsat 7 & 8-derived vegetation indices on semi-arid rangelands of southwestern Uzbekistan

    Toshpulot Rajabov, R. Douglas Ramsey, Bakhtiyor Mardonov +3

    СтатьяRangeland Management and Livestock EcologyGeocarto International2020Цитирований: 7
    ABI

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

    Nizom Farmonov, Khilola Amankulova, József Szatmári +4

    СтатьяRemote Sensing in AgricultureInternational Journal of Digital Earth2023Цитирований: 3
    ABI

  6. Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data

    Zhou Shi, G. Ruecker, Marc Mueller +7

    СтатьяRemote Sensing in AgricultureAgronomy Journal2007Цитирований: 2
    ABI

  7. 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

    СтатьяRemote Sensing in AgricultureThe Science of The Total Environment2023Цитирований: 0
    ABI

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

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

    СтатьяSugarcane Cultivation and ProcessingE3S Web of Conferences2024Цитирований: 0
    ABI

  9. Leveraging Vegetation Indices and Random Forest for Soil Nutrient Monitoring in Winter Wheat

    Shukhrat Shokirov, Ilhom Abdurahmanov, Zokhid Mamatkulov +7

    СтатьяRemote Sensing in AgricultureJournal of the Indian Society of Remote Sensing2025Цитирований: 0
    ABI

  10. Role of MODIS and Sentinel-5P in monitoring air pollution and its impact on vegetation health

    Lal Mohammad, Jatisankar Bandyopadhyay, Ismail Mondal +4

    СтатьяRemote Sensing in AgricultureAdvances in Space Research2025Цитирований: 0
    ABI

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

    Ritu Su, Yong Yang, Shujuan Chang +4

    СтатьяRemote Sensing in AgricultureAgronomy2025Цитирований: 0
    ABI

  12. 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

    СтатьяRemote Sensing in AgricultureLand2026Цитирований: 0
    ABI

  13. 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

    СтатьяSoil Geostatistics and MappingJ Open2026Цитирований: 0
    ABI