Browsing by Author Rahman, Muhammad


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Publication DateTitleAuthor(s)Date Added
2017Determining pasture evapotranspiration using active optical sensor derived normalized difference vegetation indexAlam, Muhammad S; Lamb, David ; Rahman, Muhammad Moshiur ; Bradbury, Ronald ; McCarthy, Cheryl29-Jun-2018
Aug-2019Estimation of fruit load in mango orchards: tree sampling considerations and use of machine vision and satellite imageryAnderson, N T; Underwood, J P; Rahman, M M ; Robson, A ; Walsh, K B2-May-2019
2016Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcaneRobson, Andrew ; Rahman, Muhammad Moshiur ; Falzon, Gregory ; Verma, Niva ; Johansen, Kasper; Robinson, Nicole; Lakshmanan, Prakash; Salter, Barry; Skocaj, Danielle4-Jan-2018
2016Evaluating satellite remote sensing as a method for measuring yield variability in Avocado and Macadamia tree cropsRobson, Andrew ; Rahman, Muhammad Moshiur ; Muir, Jasmine ; Saint, Ashley ; Simpson, Chad; Searle, Chris27-Feb-2017
2018Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of MangoRahman, Muhammad ; Robson, Andrew ; Bristow, Mila19-Mar-2019
2015The impact of solar illumination angle when using active optical sensing of NDVI to infer fAPAR in a pasture canopyRahman, Muhammad Moshiur ; Lamb, David ; Stanley, John 2-Jun-2015
Mar-2019In-situ partitioning of evaporation and transpiration components using a portable evapotranspiration dome—A case study in Tall Fescue (Festuca arundinacea)Alam, Muhammad Shahinur ; Lamb, David W ; Rahman, Muhammad Moshiur 22-Apr-2019
2014Methodology for measuring fAPAR in crops using a combination of active optical and linear irradiance sensors: a case study in Triticale (X 'Triticosecale' Wittmack)Rahman, Muhammad Moshiur ; Stanley, John ; Lamb, David ; Trotter, Mark 22-Sep-2014
2017Multi-temporal landsat algorithms for the yield prediction of sugarcane crops in AustraliaRahman, Muhammad Moshiur ; Muir, Jasmine ; Robson, Andrew 30-May-2018
2016Multi-temporal remote sensing for yield prediction in sugarcane cropsRahman, Muhammad Moshiur ; Robson, Andrew 6-Feb-2017
2014NDVI 'Depression' In Pastures Following GrazingRahman, Muhammad Moshiur ; Lamb, David ; Stanley, John ; Trotter, Mark 1-Jun-2017
2016A Novel Approach for Sugarcane Yield Prediction Using Landsat Time Series Imagery: A Case Study on Bundaberg RegionRahman, Muhammad Moshiur ; Robson, Andrew 23-Jan-2017
2014PA meets Lot - Integrating in-situ Sensor Data and Biomass Prediction Tools for Crops and PasturesRahman, Muhammad Moshiur ; Lamb, David ; Stanley, John ; Trotter, Mark 13-Mar-2017
2018Rapid measurement of pasture evapotranspiration components using proximal sensorsAlam, Muhammad Shahinur; Lamb, David W ; Rahman, Muhammad Moshiur 1-Apr-2019
Jan-2019Reducing the influence of solar illumination angle when using active optical sensor derived NDVIAOS to infer fAPAR for spring wheat (Triticum aestivum L.)Rahman, Muhammad M ; Lamb, David W ; Samborski, S M19-Mar-2019
2018A refined method for rapidly determining the relationship between canopy NDVI and the pasture evapotranspiration coefficientAlam, Muhammad Shahinur; Lamb, David ; Rahman, Moshiur M 23-Apr-2018
2017The role of directional LAI in determining the fAPAR-NDVI relationship when using active optical sensors in tall fescue ('Festuca arundinacea') pastureRahman, Muhammad Moshiur ; Lamb, David 13-Jul-2017
2018'Sugar from Space': Using Satellite Imagery to Predict Cane Yield and VariabilityMuir, Jasmine ; Robson, Andrew ; Rahman, M M 21-Jul-2019
2016Trigonometric correction factors renders the fAPAR-NDVI relationship from active optical reflectance sensors insensitive to solar elevation angleRahman, Muhammad Moshiur ; Lamb, David 9-Aug-2016
2014Use of proximal sensors to evaluate at the sub-paddock scale a pasture growth-rate model based on light-use efficiencyRahman, Muhammad Moshiur ; Lamb, David ; Stanley, John ; Trotter, Mark 14-May-2014