Classifying agricultural land in an urban landscape with application to waterfowl conservation | Posted on:2007-06-22 | Degree:M.R.M | Type:Thesis | University:Simon Fraser University (Canada) | Candidate:Buffett, Daniel | Full Text:PDF | GTID:2459390005990517 | Subject:Biology | Abstract/Summary: | | This project evaluates technical considerations and human resources required to remotely sense agricultural lands and demonstrates how the results can be used for waterfowl conservation. Using a hierarchical decision tree classifier and 3 agricultural classification schemes on Landsat 7 ETM data, the accuracy was calculated for several image transformation techniques. For an 8 class agricultural scheme, the Tasseled Cap transform had a higher overall accuracy (75.1% +/- 1.6) than the normalized difference vegetation index (60.6 +/- 1.8), second modified soil adjusted vegetation index (60.6 +/- 1.8), or arctangent to the simple ratio (59.4% +/- 1.8), and had comparable accuracy to the dataset using 84 data layers (77.6% +/- 1.5). The decision tree classifier replaced the requirement of raster based classification software and reduced the financial cost by 25%. A classified agricultural map was combined with a species--habitat model for American wigeon to set conservation goals for agricultural lands.;Subject words. Remote Sensing; British Columbia; crops; agriculture; conservation; waterfowl.;Keywords. Fraser River Delta; decision tree classifier; conservation; remote sensing; Landsat 7; waterfowl. | Keywords/Search Tags: | Agricultural, Waterfowl, Conservation, Decision tree classifier | | Related items |
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