Muhammad Moshiur Rahman

According to our database, Muhammad Moshiur Rahman authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

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., June, 2023

2022

Potential of Time-Series Sentinel 2 Data for Monitoring Avocado Crop Phenology.

Muhammad Moshiur Rahman, Andrew James Robson, James Brinkhoff

Remote. Sens., December, 2022

2020

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

2019

Reducing the influence of solar illumination angle when using active optical sensor derived NDVI_AOS to infer fAPAR for spring wheat (<i>Triticum aestivum</i> L.).

Muhammad Moshiur Rahman, David W. Lamb, S. M. Samborski

Comput. Electron. Agric., 2019

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

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

2017

Using Worldview Satellite Imagery to Map Yield in Avocado (<i>Persea americana</i>): A Case Study in Bundaberg, Australia.

Andrew James Robson, Muhammad Moshiur Rahman, Jasmine Muir

Remote. Sens., 2017

2016

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