Please use this identifier to cite or link to this item:
Title: Application of knowledge for automated land cover change monitoring.
Authors: Comber, Alexis J.
Law, A. N. R.
Lishman, J. R.
First Published: 2004
Publisher: Taylor & Francis
Citation: International Journal of Remote Sensing, 25(16): 3177-3192.
Abstract: This paper outlines an approach for updating baseline land cover datasets. Knowledge about land cover, as used during manual mapping, is combined with simple remote sensing analyses to determine land cover change direction. The philosophy is to treat reflectance data as one source of information about land cover features. Applying expert knowledge with reflectance and bio-geographic data allows generic solutions to the problem. The approach is demonstrated in areas of semi-natural vegetation and shown to differentiate ecologically subtle but spectrally similar land cover classes. Further, the advantages of manual mapping techniques and of high resolution remotely sensed imagery are combined. This approach is suitable for incorporation into automated approaches: it makes no assumption about the distribution of land cover features, can be applied to different remotely sensed data and is not classification specific. It has been incorporated into SYMOLAC, an expert system for monitoring land cover change.
DOI Link: 10.1080/01431160310001657795
ISSN: 0143-1161
Type: Article
Appears in Collections:Published Articles, Dept. of Geography

Files in This Item:
File Description SizeFormat 
18a. comber_ijrs_resubmission.pdf1.3 MBAdobe PDFView/Open

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.