Assessing tree cover in agricultural landscapes using high-resolution aerial imageryAuthor(s): Greg C. Liknes; Charles H. Perry; Dacia M. Meneguzzo
Source: Journal of Terrestrial Observation. 2(1): 38-55.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: View PDF (3.42 MB)
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.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
CitationLiknes, 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.
Keywordsimage segmentation, Random Forests, NAIP, agroforestry
- Harmonizing estimates of forest land area from national-level forest inventory and satellite imagery
- Forest land area estimates from vegetation continuous fields
- Evaluating Classified MODIS Satellite Imagery as a Stratification Tool
XML: View XML