Identification of most spectrally distinguishable phenological stage of invasive Phragmites australis in Lake Erie wetlands (Canada) for accurate mapping using multispectral satellite imagery
Phragmites australis (Cav.) Trin. ex Steudel subspecies australis is one of the worst plant invaders in wetlands of North America. Remote sensing is the most cost-effective method to track its spread given its widespread distribution and rapid colonization rate. We hypothesize… Read More
Mapping invasive Phragmites australis in highway corridors using provincial orthophoto databases in Ontario
We mapped the distribution of invasive Phragmites australis (European common reed) in MTO-operated roadways of southern Ontario using airphotos from a provincial database, the Southwestern Ontario Orthophotography Project (SWOOP), which covers all highways from Windsor east to… Read More
Assessing efficacy of treatment programs to control invasive Phragmites in highway corridors of southwestern Ontario
The invasive haplotype M of Phragmites australis originated in Europe and was introduced to the Atlantic coast in the 1800s. It eventually made its way to southwestern Ontario in the late 1940s. Since 2010, invasive Phragmites has greatly expanded into coastal and inland wetlands… Read More
Use of World View 3 (WV 3) satellite imagery for early detection of invasive Phragmites australis in roadway corridors in Ontario
We tested the suitability of high-resolution (80 cm) multi-spectral satellite data from World View 3 (WV 3) to detect small patches of invasive Phragmites within 20-m buffer of the centre-line of the road. We used ENVI 5.5 to classify the image into seven classes: roads, trees,… Read More
Mapping options to track invasive Phragmites australis in the Great Lakes basin in Canada
We directly compared the performance of four remote-sensing methods for mapping invasive Phragmites in coastal wetlands of Long Point Bay, Lake Erie, Canada. We refer to the first method as Landsat, which uses Landsat images and NDVI (Normalized Difference Vegetation Index)… Read More