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Object-based random forest wetland mapping in Conne River, Newfoundland, Canada
- Publication Year :
- 2021
- Publisher :
- SPIE, 2021.
-
Abstract
- The Conne River watershed is dominated by wetlands that provide valuable ecosystem services, including contributing to the survivability and propagation of Atlantic salmon, an important subsistence species that has shown a dramatic decline over the past 30 years. To better understand and improve the management of the watershed, and in turn, the Atlantic salmon, a wetland inventory of the area is developed using advanced remote sensing methods including field-collected data, object-based image analysis of Sentinel-1, Sentinel-2, and digital elevation model Earth observation data. The resulting classification maps consisted of bog, fen, swamp, marsh, and open water wetlands with an overall accuracy of 92% and a kappa coefficient of 0.916. Among wetland classes, user and producer accuracies range between 84% and 100%. Results show the dominance of peatland wetlands such as bog and fen, and the relative rareness of marsh wetlands.
- Subjects :
- Watershed
Marsh
Peat
roads
Wetland
Swamp
Ecosystem services
wetlands
remote sensing
vegetation
Bog
image segmentation
visualization
watershed
accuracy assessment
Hydrology
multispectral classification
geography
geography.geographical_feature_category
feature extraction
Vegetation
classification
General Earth and Planetary Sciences
Environmental science
image classification
data modeling
synthetic aperture radar
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....8e660376ab6817bbb27f6808fe185342