Calculating environmental moisture for per-field discrimination of rice crops

By T. V. Van Niel, T. McVicar, Hongliang Fang, Shunlin Liang. 2003

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Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection (2013, background): “…Irrigation Area study site (‘Coleambally’ herein) is a rice based irrigation system located in southern New South Wales (NSW, Australia; 34.0034°E, 145.0675°S) which has been extensively used for time series remote sensing research (Van Niel & McVicar, 2003, 2004a,b; Van Niel et al., 2003, 2005).”
Using variance analysis of multitemporal MODIS images for rice field mapping in Bali Province, Indonesia (2012, methodology): “…remote sensing has been widely applied and is recognized as a powerful and effective tool for identifying agriculture crops (Bachelet 1995, Le Toan et al. 1997, Fang 1998, Fang et al. 1998, Liew et al. 1998, Okamoto and Kawashima 1999, Niel et al. 2003, Bouvet et al. 2009, Pan et al. 2010).”