Classification Accuracy for Stratification with Remotely Sensed Data
Authors: Czaplewski R.L.1; Patterson P.L.2
Source: Forest Science, Volume 49, Number 3, June 2003 , pp. 402-408(7)
Abstract:
Tools are developed that help specify the classification accuracy required from remotely sensed data. These tools are applied during the planning stage of a sample survey that will use poststratification, prestratification with proportional allocation, or double sampling for stratification. Accuracy standards are developed in terms of an “error matrix,” which is familiar to remote sensing specialists. In addition, guidance is provided to determine when new remotely sensed classifications are needed to maintain acceptable levels of statistical precision with stratification. FOR. SCI. 49(3):402–408.Keywords: Forest inventory and monitoring; forest statistics; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resources; natural resource management
Document Type: Miscellaneous
Affiliations: 1: Project Leader Rocky Mountain Research Station, USDA Forest Service, 2150 Centre Ave, Bldg. A, Suite 350, Fort Collins, CO, 80526-1891, Phone: (970) 295-5973; Fax: (970) 295-5959 rczaplewski@fs.fed.us 2: Project Scientist Rocky Mountain Research Station, USDA Forest Service, 2150 Centre Ave, Bldg. A, Suite 350, Fort Collins, CO, 80526-1891, Phone: (970) 295-5966 plpatterson@fs.fed.us
