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Title: Assessing tree cover in agricultural landscapes using high-resolution aerial imagery
Author: Liknes, Greg C.; Perry, Charles H.; Meneguzzo, Dacia M.;
Source: Journal of Terrestrial Observation. 2(1): 38-55.
Publication Series: Scientific Journal (JRNL)
Trees used in agroforestry practices, such as windbreaks, provide a variety of ecosystem benefits and are recognized globally as an important land use. However, efforts to inventory and monitor agroforestry land use have been sporadic, short-lived, or focused on small spatial extents. There are a variety of satellite-derived datasets that provide information about tree cover over broad spatial extents, but most are based on satellite sensors with resolutions too coarse to accurately observe narrow plantings of trees. We derived area estimates of land with tree cover in North Dakota and South Dakota from the National Land Cover Dataset, the Cropland Data Layer, MODIS Vegetative Continuous Fields, and a MODIS land cover product. We compared these image-based estimates to estimates based on in situ observations of forest land from the USDA Forest Service's Forest Inventory and Analysis (FIA) program.
Keywords: image segmentation, Random Forests, NAIP, agroforestry
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Liknes, Greg C.; Perry, Charles H.; Meneguzzo, Dacia M. 2010. Assessing tree cover in agricultural landscapes using high-resolution aerial imagery. Journal of Terrestrial Observation. 2(1): 38-55.
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