Journal
EUROPEAN JOURNAL OF REMOTE SENSING
Volume 51, Issue 1, Pages 241-250Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/22797254.2017.1419442
Keywords
Unmanned aerial vehicle (UAV); remote sensing; photogrammetry; wheat; agricultural damage; wildlife
Categories
Funding
- Ministry of Agriculture of the Czech Republic [QJ1520187]
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Wildlife-induced damage of agricultural crops is an unfavorable consequence of elevated population densities of wild animals, especially wild boars. For the purposes of financial compensations for crop damage, provided by either governments or hunters responsible for game numbers, it is necessary to precisely assess the range of damage and temporal change. The use of an unmanned aerial vehicle (UAV) with an optical sensor payload represents a potential method of obtaining data of crop conditions without the necessity to enter the field and increase the damage. We propose a novel method for delineation of damaged areas via automatic segmentation of the crop field. Our method is based on photogrammetric reconstruction of the various crop heights within the field through the use of Structure from Motion technique with subsequent automatic classification. In this case study of wheat, the range of damage was estimated with an accuracy of 99.5% and 99.3% using field global navigation satellite system (GNSS) measurements and classification of an orthomosaic generated from UAV-based imagery, respectively.
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