Online, map-based estimation of forest attributes

Author

McRoberts, Ronald E. ; Miles, Patrick D.

Author_Institution

USDA Forest Service, North Central Res. Station, St. Paul, MN, USA

fYear

2005

fDate

22-26 Aug. 2005

Firstpage

701

Lastpage

705

Abstract

Areal estimates of forest attributes are obtained from maps constructed using forest inventory plot data, satellite imagery, and the k-nearest neighbors technique. The map-based areal estimates are calculated by aggregating attribute predictions for individual image pixels and are statistically comparable to estimates obtained for the same areas using inventory plot data only. Online, map-based estimation provides general access to information derived from inventory data without revealing exact plot locations or proprietary ownership information, two crucial issues for forest inventory in the USA. Techniques are discussed for increasing the speed of online estimation without compromising accuracy.

Keywords

Internet; cartography; forestry; geographic information systems; image resolution; forest attributes; forest inventory plot data; image pixels; information access; k-nearest neighbors technique; map-based areal estimation; proprietary ownership information; satellite imagery; Conferences; Global Positioning System; Image databases; Large-scale systems; Pixel; Prototypes; Sampling methods; Satellites; State estimation; US Department of Agriculture;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on

ISSN

1529-4188

Print_ISBN

0-7695-2424-9

Type

conf

DOI

10.1109/DEXA.2005.149

Filename

1508355