|Title||North American Land-Change Monitoring System|
|Author||Latifovic, R; Homer, C; Ressl, R; Pouliot, D; Hossain, S N; Colditz, R R; Olthof, I; Giri, C P; Victoria, A|
|Source||Remote sensing of land use and land cover: principles and applications; by Giri, C P (ed.); 2012 p. 303-324, https://doi.org/10.1201/b11964|
|Alt Series||Natural Resources Canada, Contribution Series 20190164|
|File format||pdf (Adobe® Reader®)|
|Program||Remote Sensing Science|
|Released||2016 04 19|
In order to produce a consistent and accurate land cover time series at continental or global scales from satellite observations, an efficient monitoring approach is required.
International collaboration is an effective means to use expertise and combine resources to perform large area mapping and to develop and evaluate methods for land cover monitoring across different ecosystems. In this article, such an international
effort among organizations from Canada, Mexico and the United States aimed at creating a harmonized North American Land Change Monitoring System (NALCMS) is described. The article provides the NALCMS project overview, objectives, and its current
status followed by a presentation of the recently produced North American Land Cover 2005 map at 250m spatial resolution. Details on the satellite data processing methodology and land cover mapping approach used to produce this map are also
discussed. Furthermore, the article evaluates map accuracy based on a comparison with visually interpreted geospatial data and other national reference products. The continental accuracy assessment of the North American Land Cover yields a 68%
agreement with the primary label, and 82.2% with the primary or alternate label used to account for the effect of mixed pixels.
|Summary||(Plain Language Summary, not published)|
The article provides the NALCMS project overview, objectives, and its current status followed by the presentation of the recently produced North American
Land Cover 2005 database at 250m spatial resolution. Details on satellite data processing methodology and land cover mapping approach utilized to produce database are also discussed.