Quantifying hail damage for crop loss assessment: techniques using remote sensing and geographic information systems

Chandler, Owen and Apan, Armando and Pullinger, Rod and Bullen, Ken (2003) Quantifying hail damage for crop loss assessment: techniques using remote sensing and geographic information systems. In: 11th Australasian Remote Sensing and Photogrammetry Conference (ARSPC 2002): Images to Information, 2-6 Sep 2002, Brisbane, Australia.

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Hail damage results in losses of approximately 3% of total broad-acre crop production every year across the Darling Downs region of Queensland. Current practices of hail
damage assessment are both time and labour intensive. The use of remote sensing and geographic information systems can provide alternative techniques for the assessment of crop hail damage. Remote sensing is currently providing valuable data for precision agriculture and land-use/ land-cover mapping but rarely has it been used for insurance and loss calculation. Results have indicated the usefulness of Landsat 7 ETM+ imagery in the calculation of area and quantum of damage for loss adjusting purposes.
Depending upon the analysis techniques used, an average accuracy of 5% to 30% difference was established from that observed in the field. It was identified that the
Normalised Difference Vegetation Index (NDVI) had the strongest correlation to defoliation followed closely by the Tasselled Cap Transformation (Greenness), while the Modified Soil Adjusted Vegetation Index (MSAVI2) showed unexpected low accuracies. Higher accuracies were obtained from the introduction of a reduced boundary to reduce the impact of mixed pixels, with the 2-pixel boundary, resulting in the highest accuracies.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 30 Nov 2007 11:55
Last Modified: 26 Aug 2016 06:53
Uncontrolled Keywords: hail; storm damage; Darling Downs
Fields of Research : 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070104 Agricultural Spatial Analysis and Modelling
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/11193

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