Mapping forest composition from the Canadian National Forest Inventory and land cover classification maps

被引:21
|
作者
Yemshanov, Denys [1 ]
McKenney, Daniel W. [1 ]
Pedlar, John H. [1 ]
机构
[1] Nat Resources Canada, Canadian Forest Serv, Great Lakes Forestry Ctr, Sault Ste Marie, ON P6A 2E5, Canada
关键词
National Forest Inventory; Land cover classification; Stochastic prediction; Species cover; Canada; Stand volume; Forest composition; Tree species; ACCURACY; IMPROVE; IMAGERY; MODEL;
D O I
10.1007/s10661-011-2293-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Canada's National Forest Inventory (CanFI) provides coarse-grained, aggregated information on a large number of forest attributes. Though reasonably well suited for summary reporting on national forest resources, the coarse spatial nature of this data limits its usefulness in modeling applications that require information on forest composition at finer spatial resolutions. An alternative source of information is the land cover classification produced by the Canadian Forest Service as part of its Earth Observation for Sustainable Development of Forests (EOSD) initiative. This product, which is derived from Landsat satellite imagery, provides relatively high resolution coverage, but only very general information on forest composition (such as conifer, mixedwood, and deciduous). Here we link the CanFI and EOSD products using a spatial randomization technique to distribute the forest composition information in CanFI to the forest cover classes in EOSD. The resultant geospatial coverages provide randomized predictions of forest composition, which incorporate the fine-scale spatial detail of the EOSD product and agree in general terms with the species composition summaries from the original CanFI estimates. We describe the approach and provide illustrative results for selected major commercial tree species in Canada.
引用
收藏
页码:4655 / 4669
页数:15
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