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19 works

Work: Red and photographic infrared linear combinations for monitoring vegetation

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

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

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    ArticleRemote Sensing in AgricultureInternational Journal of Digital Earth20233 citations
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  7. Extraction of Cotton Information with Optimized Phenology-Based Features from Sentinel-2 Images

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

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

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

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

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

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

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  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

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

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

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  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

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

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

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