NDLI: Detection and mapping of irrigated farmland in Canterbury, New Zealand

Content Provider	IEEE Xplore Digital Library
Author	Pairman, D. Belliss, S.E. Cuff, J. McNeill, S.J.
Copyright Year	2011
Description	Author affiliation: Environment Canterbury, New Zealand (Cuff, J.) \|\| Landcare Research New Zealand Ltd., New Zealand (Pairman, D.; Belliss, S.E.; McNeill, S.J.)
Abstract	Identification of irrigated farm land is critical to a variety of environmental models. For this work, it is needed to model the impacts of irrigation on groundwater quality and flow rates. As the ground cover appearance for many land uses is quite dynamic, we take a multi-temporal remote sensing approach and classify each location as likely irrigated if it appears irrigated at any stage. Our model also uses a landform analysis to determine where irrigation is feasible. Either the presence of visible infrastructure or NDVI values higher than expected from rainfall data are then used as evidence for irrigated land. Paddocks identified by fieldwork as irrigated were 75.6% correctly classified, rising to 88.9% for a pasture subset. Cropping fields have proved more difficult as their NDVI also depends on their growth stage and the specific crop type.
Starting Page	696
Ending Page	699
File Size	869969
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049225
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Irrigation Green products Remote sensing Rain Accuracy Biological system modeling eCognition Irrigation detection multi-temporoal analysis
Content Type	Text
Resource Type	Article

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