Browsing by Author "Sinha, P"

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    An assessment of the potential of remote sensing based irrigation scheduling for sugarcane in Australia : Final report 2015/082
    (Cotton Research and Development Corporation, 2017) Sinha, P; Lamb, DW; Robson, A
    There is currently no operational method of managing irrigation in Australia’s sugar industry on the basis of systematic, direct monitoring of sugar plant physiology. Satellite remote sensing systems, having come a long way in the past 10 years now offer the potential to apply the current ground-based ‘FAO’ or ‘crop coefficient (Kc)’ approach in a way that offers a synoptic view of crop water status across fields. In particular, multi-constellation satellite remote sensing, utilising a combination of freely available Landsat and Sentinel 2 imagery, supplemented by paid-for imagery from other existing satellite systems is capable of providing the necessary spatial resolution and spectral bands and revisit frequency. The significant correlations observed between Kc and spectral vegetation indices (VIs), such as the widely used normalised difference vegetation index (NDVI) in numerous other crops bodes well for the detection and quantification of the spatial difference in evapotranspiration (ETc) in sugar which is necessary for irrigation scheduling algorithms.