|Mladinich, Carol - USGS|
|Bustos, Monica - ROCKY MOUNTAIN GEO RES CT|
|Ustin-Stitt, Susan - USGS|
|Root, Ralph - USGS-DECEASED 2004|
|Brown, Karl - USGS|
|Hager, Steve - NPS-RESIGNED NO CONTACT|
Submitted to: Rangeland Ecology and Management
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: June 14, 2006
Publication Date: September 1, 2006
Citation: Mladinich, C., Bustos, M., Ustin-Stitt, S., Root, R., Brown, K., Anderson, G.L., Hager, S. 2006. The use of Landsat 7 enhanced thematic mapper plus data for mapping leafy spurge. Rangeland Ecology and Management. 59(5):500-506. Interpretive Summary: In our quest to identify the proper tools for assessing rangeland weed infestations a multi-disciplinary team evaluated several remote sensing platforms. This paper specifically looked at Landsat 7, Enhanced Thematic Mapper data. While the tool is old, new methods of analysis are constantly being developed and refined. The results proved to be much better (mapping accuracy 63%) than expected. While, the uses of Landsat imagery did not provide the accuracy required for detailed mapping of small patches of the weed, it did demonstrate the potential for mapping broad-scale (regional) leafy spurge occurrence.
Technical Abstract: Euphorbia esula L. (leafy spurge) is an invasive weed that is a major problem in much of the Upper Great Plains region, including parts of Montana, South Dakota, North Dakota, Nebraska, and Wyoming. Infestations in North Dakota alone have had a serious economic impact, estimated at $87 million annually in 1991, to the state’s wildlife, tourism, and agricultural economy. Leafy spurge degrades prairie and badland ecosystems by displacing native grasses and forbs. It is a major threat to protected ecosystems in many national parks, national wild lands, and state recreational areas in the region. This study explores the use of Landsat 7 Enhanced Thematic Mapper Plus (Landsat) imagery and derived products as a management tool for mapping leafy spurge in Theodore Roosevelt National Park, in southwestern North Dakota. An unsupervised clustering approach was used to map leafy spurge classes and resulted in overall classification accuracies of approximately 63%. The uses of Landsat imagery did not provide the accuracy required for detailed mapping of small patches of the weed. However, it demonstrated the potential for mapping broad-scale (regional) leafy spurge occurrence. This paper offers recommendations on the suitability of Landsat imagery as a tool for use by resource managers to map and monitor leafy spurge populations over large areas.