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

H...............H

Show simple item record

dc.contributor.author Elliott, Luisa M.
dc.contributor.author Mason, David C.
dc.contributor.author Allainguillaume, Joel
dc.contributor.author Wilkinson, Michael J.
dc.date.accessioned 2010-03-23T16:51:52Z
dc.date.available 2010-03-23T16:51:52Z
dc.date.issued 2009-11-09
dc.identifier.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 , vol 3 , pp. paper no. 033562 . en
dc.identifier.other PURE: 146786
dc.identifier.other dspace: 2160/4520
dc.identifier.uri http://hdl.handle.net/2160/4520
dc.description 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, paper no. 033562. Sponsorship: BBSRC IMPF: 00.64 en
dc.description.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 ( en
dc.language.iso eng
dc.relation.ispartof Journal of Applied Remote Sensing en
dc.title Use of airborne remote sensing to detect riverside Brassica rapa to aid in risk assessment of transgenic crops en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1117/1.3269615
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Cadair


Advanced Search

Browse

My Account