Southern Research Station

Title: Landsat TM Classifications For SAFIS Using FIA Field Plots

Author: Cooke, William H., III; Hartsell, Andrew J.

Date: 2001

Source:  In: Reams, Gregory A.; McRoberts, Ronald E.; Van Deusen, Paul C., eds. 2001. Proceedings of the second annual Forest Inventory and Analysis symposium; 2000 October 17-18; Salt Lake City, UT. Gen. Tech. Rep. SRS-47. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 15-18

Description: Wall-to-wall Landsat Thematic Mapper (TM) classification efforts in Georgia require field validation. We developed a new crown modeling procedure based on Forest Health Monitoring (FHM) data to test Forest Inventory and Analysis (FIA) data. These models simulate the proportion of tree crowns that reflect light on a FIA subplot basis. We averaged subplot crown proportions and compared them to Landsat TM classifications for validation. Resolution differences between field data and Landsat TM data make comparisons challenging. We recorded positive correlations between the two types of data for four of the five FIA plots tested. We attribute differences on the fifth plot to misregistration of the two data sources or misclassification of the TM imagery.

Keywords: 

View and Print this Publication (529 KB)

Publication Notes: 

• We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
• This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

 Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

Citation

Cooke, William H., III; Hartsell, Andrew J.  2001.  Landsat TM Classifications For SAFIS Using FIA Field Plots.   In: Reams, Gregory A.; McRoberts, Ronald E.; Van Deusen, Paul C., eds. 2001. Proceedings of the second annual Forest Inventory and Analysis symposium; 2000 October 17-18; Salt Lake City, UT. Gen. Tech. Rep. SRS-47. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 15-18.