Hasil Pencarian - Muhammad Moshiur Rahman

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  1. 1
    Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block Level

    Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block Level oleh Muhammad Moshiur Rahman, Andrew Robson

    Diterbitkan 2020-04-01
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  2. 2
    Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of Mango

    Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of Mango oleh Muhammad Moshiur Rahman, Andrew Robson, Mila Bristow

    Diterbitkan 2018-11-01
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  3. 3
    Potential of Time-Series Sentinel 2 Data for Monitoring Avocado Crop Phenology

    Potential of Time-Series Sentinel 2 Data for Monitoring Avocado Crop Phenology oleh Muhammad Moshiur Rahman, Andrew Robson, James Brinkhoff

    Diterbitkan 2022-11-01
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  4. 4
    Using Worldview Satellite Imagery to Map Yield in Avocado (Persea americana): A Case Study in Bundaberg, Australia

    Using Worldview Satellite Imagery to Map Yield in Avocado (Persea americana): A Case Study in Bundaberg, Australia oleh Andrew Robson, Muhammad Moshiur Rahman, Jasmine Muir

    Diterbitkan 2017-11-01
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  5. 5
    Developing a reference method for indirect measurement of pasture evapotranspiration at sub-meter spatial resolution

    Developing a reference method for indirect measurement of pasture evapotranspiration at sub-meter spatial resolution oleh Muhammad Shahinur Alam, David William Lamb, Muhammad Moshiur Rahman, Marcus Randall

    Diterbitkan 2024-12-01
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  6. 6
    Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach

    Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach oleh Benjamin Adjah Torgbor, Muhammad Moshiur Rahman, James Brinkhoff, Priyakant Sinha, Andrew Robson

    Diterbitkan 2023-06-01
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  7. 7
    Assessing the Potential of Sentinel-2 Derived Vegetation Indices to Retrieve Phenological Stages of Mango in Ghana

    Assessing the Potential of Sentinel-2 Derived Vegetation Indices to Retrieve Phenological Stages of Mango in Ghana oleh Benjamin Adjah Torgbor, Muhammad Moshiur Rahman, Andrew Robson, James Brinkhoff, Azeem Khan

    Diterbitkan 2021-12-01
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