Works matching AU RAHMAN, MUHAMMAD MOSHIUR
Results: 8
Assessing the Potential of Sentinel-2 Derived Vegetation Indices to Retrieve Phenological Stages of Mango in Ghana.
- Published in:
- Horticulturae, 2022, v. 8, n. 1, p. 11, doi. 10.3390/horticulturae8010011
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- Article
Assessing and mapping the vulnerability index of Bangladesh to natural and climate-induced disasters: A spatial analysis at the subdistrict level.
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- Journal of Agrometeorology, 2024, v. 26, n. 4, p. 459, doi. 10.54386/jam.v26i4.2710
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- Article
Exploring the Relationship Between Very-High-Resolution Satellite Imagery Data and Fruit Count for Predicting Mango Yield at Multiple Scales.
- Published in:
- Remote Sensing, 2024, v. 16, n. 22, p. 4170, doi. 10.3390/rs16224170
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- Article
Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach.
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- Remote Sensing, 2023, v. 15, n. 12, p. 3075, doi. 10.3390/rs15123075
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- Article
Potential of Time-Series Sentinel 2 Data for Monitoring Avocado Crop Phenology.
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- Remote Sensing, 2022, v. 14, n. 23, p. 5942, doi. 10.3390/rs14235942
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- Article
Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block Level.
- Published in:
- Remote Sensing, 2020, v. 12, n. 8, p. 1313, doi. 10.3390/rs12081313
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- Article
Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of Mango.
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- Remote Sensing, 2018, v. 10, n. 12, p. 1866, doi. 10.3390/rs10121866
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- Article
Using World View Satellite Imagery to Map Yield in Avocado (Persea americana): A Case Study in Bundaberg, Australia.
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- Remote Sensing, 2017, v. 9, n. 12, p. 1223, doi. 10.3390/rs9121223
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- Article