Skip to page content
USDA Forest Service
  
Treesearch

Research & Development Treesearch

 
Treesearch Home
About Treesearch
Contact Us
Research & Development
Forest Products Lab
International Institute of Tropical Forestry
Northern
Pacific Northwest
Pacific Southwest
Rocky Mountain
Southern Research Station
Help
 

Science.gov - We Participate


USA.gov  Government Made Easy


Global Forest Information Service

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

You are here: Home / Search / Publication Information
Bookmark and Share

Publication Information

View PDF (2.2 MB)

Title: Re-sampling remotely sensed data to improve national and regional mapping of forest conditions with confidential field data

Author: Czaplewski, Raymond L. Ph.D.;

Date: 2005

Source: In: Marsden, Michael; Downing, Marla; Riffe, Mark, comps. Workshop proceedings: quantitative techniques for deriving national-scale data; Westminster, CO, July 26–28, 2005. FHTET-05-12. Fort Collins, CO: U.S. Dept. of Agriculture, Forest Service, Forest Health Technology Enterprise Team: 263-284

Publication Series: Other

Description: Forest Service Research and Development (R&D) and State and Private Forestry Deputy Areas, in partnership with the National Forest System Remote Sensing Applications Center (RSAC), built a 250-m resolution (6.25-ha pixel) dataset for the entire USA. It assembles multi-seasonal hyperspectral MODIS data and derivatives, Landsat derivatives (i.e., summary statistics for the 70 or so Landsat pixels within each 6.25-ha pixel), and other national geospatial datasets (e.g., climate, soils, ecoregions). All datasets are re-sampled to the same 250-m grid used for standard MODIS derivatives. There are approximately 100 layers in this “stack” of full-coverage geospatial data.

Keywords: remote sensing, hyperspectral data, mapping, MODIS, Landsat

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.
  • You may send email to rmrspubrequest@fs.fed.us to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)

XML: View XML

Citation:


Czaplewski, Raymond L. 2005. Re-sampling remotely sensed data to improve national and regional mapping of forest conditions with confidential field data. In: Marsden, Michael; Downing, Marla; Riffe, Mark, comps. Workshop proceedings: quantitative techniques for deriving national-scale data; Westminster, CO, July 26–28, 2005. FHTET-05-12. Fort Collins, CO: U.S. Dept. of Agriculture, Forest Service, Forest Health Technology Enterprise Team: 263-284

 


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

USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.