Publication Details
- Title:
- High-resolution land cover of South Dakota (2014)
- Author(s):
-
Haugan, Doug; Meneguzzo, Dacia M.; Liknes, Greg C.; Warnke, Marcus; Seidl, Anthony; Johnson, Matthew; Leidholt, Julia - Publication Year:
- 2022
- How to Cite:
-
These data were collected using funding from the U.S. Government and South Dakota Department of Agriculture & Natural Resrouces - Resource Conservation & Forestry Division and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
Haugan, Doug; Meneguzzo, Dacia M.; Liknes, Greg C.; Warnke, Marcus; Seidl, Anthony; Johnson Matthew; Leidholt, Julia. 2022. High-resolution land cover of South Dakota (2014). Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0068
*Appropriate use includes fine-scale assessment of tree cover, total extent of tree cover, county-level summaries of tree cover categories, and construction of cartographic products. - Abstract:
- This data publication contains 2014 high-resolution land cover data for each of the 66 counties within South Dakota. These data are a digital representation of land cover derived from 1-meter aerial imagery from the National Agriculture Imagery Program (NAIP). There is a separate file for each county. Data are intended for use in rural areas and therefore do not include land cover in cities and towns. Land cover classes (tree cover, other land cover, water, or city/town) were mapped using an object-based image analysis approach and supervised classification.
- Keywords:
- imageryBaseMapsEarthCover; Inventory, Monitoring, & Analysis; Resource inventory; Natural Resource Management & Use; Agroforestry; Water; tree cover; windbreaks; agroforestry; riparian; land cover; South Dakota
- Related publications:
- 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. https://research.fs.usda.gov/treesearch/34796
- Meneguzzo, Dacia M.; Liknes, Greg C.; Nelson, Mark D. 2013. Mapping trees outside forests using high-resolution aerial imagery: a comparison of pixel- and object based classification approaches. Environmental Monitoring and Assessment. 185: 6261-6275. https://doi.org/10.1007/s10661-012-3022-1
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