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Meaningful implementation of REDD+ requires accurate, high-resolution, spatially explicit maps of forested areas and forest carbon stocks, as well as predictions of their change in the future.
Maps of forested sites showing clustering of hybrids.
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To this end, a circa 2000 Landsat-derived land cover map of the forested ecosystems of Canada has created a new window into understanding the composition and configuration of land cover patterns in forested Canada.
In the sample design we propose, pixels in a map of the (forested) domain of interest are ordered along a number line according to a space-filling curve following simple geometric patterns.
High-resolution digital maps of land use and forested wetlands were derived from remote sensing imagery.
Multi-temporal C-band SAR data were shown to be capable of mapping forested wetlands and monitoring hydroperiod (i.e., temporal fluctuations in inundation and soil moisture) at the study site, and the discrimination of wetland from upland was improved with 10 m digital elevation data.
These maps cover over 3.5 million ha of the 8.5 million ha of forested land in the former Cariboo Forest Region of British Columbia, Canada.
The goal of this research was to demonstrate the utility of an unsupervised, quantitative technique based on Light Detection And Ranging (LiDAR) data and multi-spectral satellite imagery for mapping local-scale ecosystems over a heterogeneous landscape of forested and non-forested ecosystems.
The limited maps of biodiversity across the world's forested ecosystems were developed using either raster data or point data.
These could be artifacts of forested areas that were converted since the production of the maps or differences in NLCD classifications over time.
Lidar point clouds have been used not only to map the spatial distribution of vegetation [2 4], but also to analyze the vertical structure of forested and savanna ecosystems [5 8].
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