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Use of airborne remote sensing to detect riverside Brassica rapa to aid in risk assessment of transgenic crops

Elliott, Luisa M.; Mason, David C.; Allainguillaume, Joel; Wilkinson, Mike J.

Authors

Luisa M. Elliott

David C. Mason

Mike J. Wilkinson



Abstract

High resolution descriptions of plant distribution have utility for many ecological applications but are especially useful for predictive modeling of gene flow from transgenic crops. Difficulty lies in the extrapolation errors that occur when limited ground survey data are scaled up to the landscape or national level. This problem is epitomized by the wide confidence limits generated in a previous attempt to describe the national abundance of riverside Brassica rapa (a wild relative of cultivated rapeseed) across the United Kingdom. Here, we assess the value of airborne remote sensing to locate B. rapa over large areas and so reduce the need for extrapolation. We describe results from flights over the river Nene in England acquired using Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) imagery, together with ground truth data. It proved possible to detect 97% of flowering B. rapa on the basis of spectral profiles. This included all stands of plants that occupied >2m square (>5 plants), which were detected using single-pixel classification. It also included very small populations (

Citation

Elliott, L. M., Mason, D. C., Allainguillaume, J., & Wilkinson, M. J. (2009). Use of airborne remote sensing to detect riverside Brassica rapa to aid in risk assessment of transgenic crops. Journal of Applied Remote Sensing, 3(1), 033562. https://doi.org/10.1117/1.3269615

Journal Article Type Article
Publication Date Dec 1, 2009
Journal Journal of Applied Remote Sensing
Electronic ISSN 1931-3195
Publisher Society of Photo-optical Instrumentation Engineers
Peer Reviewed Peer Reviewed
Volume 3
Issue 1
Pages 033562
DOI https://doi.org/10.1117/1.3269615
Keywords airborne remote sensing, riverside, Brassica rapa, risk assessment, transgenic crops
Public URL https://uwe-repository.worktribe.com/output/1002251
Publisher URL http://dx.doi.org/10.1117/1.3269615