Combining accuracy assessment of land-cover maps with environmental monitoring programs

Stehman, S. V.; Czaplewski, R. L.; Nusser, S. M.; Yang, L.; Zhu, Z.

Abstract:

A scientifically valid accuracy assessment of a large-area, land-cover map is expensive. Environmental monitoring programs offer a potential source of data to partially defray the cost of accuracy assessment while still maintaining the statistical validity. In this article, three general strategies for combining accuracy assessment and environmental monitoring protocols are described. These strategies range from a fully integrated accuracy assessment and environmental monitoring protocol, to one in which the protocols operate nearly independently. For all three strategies, features critical to using monitoring data for accuracy assessment include compatibility of the land-cover classification schemes, precisely co-registered sample data, and spatial and temporal compatibility of the map and reference data. Two monitoring programs, the National Resources Inventory (NRI) and the Forest Inventory and Monitoring (FIM), are used to illustrate important features for implementing a combined protocol.

Genre:

Conference Paper

ProdID:

70022494

Citation Author:

Stehman, S. V.; Czaplewski, R. L.; Nusser, S. M.; Yang, L.; Zhu, Z.

Citation Contributing Office:

Citation Datum:

Citation Day:

Citation Edition:

Citation Editor:

Citation End Page:

126

Citation Issue:

Citation Keywords:

Citation Language:

English

Citation Larger Work Title:

Environmental Monitoring and Assessment

Citation LatN:

Citation LatS:

Citation LonE:

Citation LonW:

Citation Month:

Citation No Pagination:

Citation Number Of Pages:

Citation Online Only Flag:

Citation Phsyical Description:

Citation Projection:

Citation Public Comments:

Citation Publisher:

Citation Series:

Citation Series Code:

Citation Series Number:

Citation Search Results Text:

Combining accuracy assessment of land-cover maps with environmental monitoring programs; 2000; Conference Paper; Environmental Monitoring and Assessment; Stehman, S. V.; Czaplewski, R. L.; Nusser, S. M.; Yang, L.; Zhu, Z.