Low-level Adelges tsugae infestation detection in New England through partition modeling of Landsat data

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• 作者：Justin P. Williams^a ; ^{justinwilliams@fs.fed.us} ; Ryan P. Hanavan^b ; ^{rhanavan02@fs.fed.us} ; Barrett N. Rock^c ; ^{rock.bg@comcast.net} ; Subhash C. Minocha^d ; ^{subhash.minocha@unh.edu} ; Ernst Linder^e ; ^{elinder@unh.edu}
• 关键词：Landsat ; Adelges tsugae ; Invasive species ; NDVI ; Decision tree classification
• 刊名：Remote Sensing of Environment
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：190
• 期：Complete
• 页码：13-25
• 全文大小：2313 K
• 卷排序：190

文摘

Pixels with high NDVI and low MSI values had a high probability of being infested. Agreement between the classification and known infestations was greatest in conifer forests. 78.6% of test areas surveyed were found to be infested. New infestations were found nearly 19 km away from known reported infestations. Methods reported represent significant progress in detecting low-level infestations.