Abuzar, Mohammad; McAllister, Andy; Whitfield, Des (2015). Mapping Irrigated Farmlands Using Vegetation and Thermal Thresholds Derived from Landsat and ASTER Data in an Irrigation District of Australia. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 81(3), 229-238.

Abstract
An operational approach has been presented to demonstrate how bilevel classes of satellite-derived surface temperature and vegetation status can be jointly used to detect areas of current irrigation with sufficient spatial detail for the potential benefit of both growers and resource managers. An iterative thresh olding procedure to minimize within-class variance was used for bilevel segmentation. The approach was tested in an irrigation district of south-eastern Australia in 2012/2013 crop year. The overall accuracy of identifying farms with irrigated crops amounted to 88.4 percent. Seasonal data of active irrigation and growing vegetation helped define land cover classes for the better understanding of current management practices of irrigated crops.

DOI:
10.14358/PERS.81.3.229

ISSN:
0099-1112