Trigonometric correction factors renders the fAPAR-NDVI relationship from active optical reflectance sensors insensitive to solar elevation angle. - Muhammad Moshiur Rahman; David W. Lamb (Comput. Electron. Agric., 2016)

Using Worldview Satellite Imagery to Map Yield in Avocado (Persea americana): A Case Study in Bundaberg, Australia. - Andrew James Robson; Muhammad Moshiur Rahman; Jasmine Muir (Remote. Sens., 2017)

A refined method for rapidly determining the relationship between canopy NDVI and the pasture evapotranspiration coefficient. - Muhammad Shahinur Alam; David W. Lamb; Muhammad Moshiur Rahman (Comput. Electron. Agric., 2018)

Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of Mango. - Muhammad Moshiur Rahman; Andrew James Robson; Mila Bristow (Remote. Sens., 2018)

Reducing the influence of solar illumination angle when using active optical sensor derived NDVIAOS to infer fAPAR for spring wheat (Triticum aestivum L.). - Muhammad Moshiur Rahman; David W. Lamb; S. M. Samborski (Comput. Electron. Agric., 2019)

Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block Level. - Muhammad Moshiur Rahman; Andrew James Robson (Remote. Sens., 2020)

Potential of Time-Series Sentinel 2 Data for Monitoring Avocado Crop Phenology. - Muhammad Moshiur Rahman; Andrew James Robson; James Brinkhoff (Remote. Sens., 2022)

Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach. - Benjamin Adjah Torgbor; Muhammad Moshiur Rahman; James Brinkhoff; Priyakant Sinha; Andrew James Robson (Remote. Sens., 2023)

Exploring the Relationship Between Very-High-Resolution Satellite Imagery Data and Fruit Count for Predicting Mango Yield at Multiple Scales. - Benjamin Adjah Torgbor; Priyakant Sinha; Muhammad Moshiur Rahman; Andrew James Robson; James Brinkhoff; Luz Angelica Suarez (Remote. Sens., 2024)