| Title | Landsat ETM+ mosaic of northern Canada |
| |
| Author | Olthof, I; Butson, C; Fernandes, R ; Fraser, R; Latifovic, R; Orazietti,
J |
| Source | Earth observation of Canada's landmass: results and future needs: a workshop in honour of Josef Cihlar on the occasion of his retirement; by Trishchenko, A (ed.); Chen, W (ed.); Canadian Journal of Remote Sensing vol. 31, no. 5, 2005 p. 412-419, https://doi.org/10.5589/m05-025 |
| Year | 2005 |
| Alt Series | Earth Sciences Sector, Contribution Series 2005582 |
| Publisher | Informa UK Limited |
| Meeting | Earth observation of Canada's landmass: results and future needs: a workshop in honour of Josef Cihlar on the occasion of his retirement; Ottawa, ON; CA; September 30 - October 1, 2004 |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Province | Alberta; British Columbia; Manitoba; Newfoundland and Labrador; Northwest Territories; Nunavut; Ontario; Quebec; Yukon |
| Area | northern Canada |
| Subjects | Nature and Environment; remote sensing; satellite imagery; LANDSAT imagery; mapping techniques; statistical methods; vegetation; Data processing; Land cover |
| Illustrations | graphs; satellite images |
| Program | Reducing Canada's Vulnerability to Climate Change
|
| Program | Groundwater |
| Program | Canadian Space Agency, Government Related
Initiative Program (GRIP) |
| Released | 2014 06 02 |
| Abstract | Mapping northern Canada with medium spatial resolution (30 m) Landsat data is important to complement national multiagency activities in forested and agricultural regions, and thus to achieve full
Canadian coverage. Northern mapping presents unique challenges due to limited availability of field data for calibration or class labeling. Additional problems are caused by variability between individual Landsat scenes acquired under different
atmospheric conditions and at different times. Therefore, the generation of radiometrically consistent coverage is highly desirable to reduce the amount of reference data required for land cover mapping and to increase mapping efficiency and
consistency by stabilizing spectra of land cover classes among hundreds of Landsat scenes. The production chain and dataset of a normalized, 90 m resolution Landsat enhanced thematic mapper plus (ETM+) mosaic of northern Canada is presented in this
research note. A robust regression technique called Thiel-Sen (TS) is used to normalize Landsat scenes to consistent coarse-resolution VEGETATION (VGT) imagery. The derived dataset is available for any interested user and can be employed in
applications aimed at studying processes in the Canadian Arctic regions above the tree line. |
| GEOSCAN ID | 221603 |
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