Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska Public Deposited

http://ir.library.oregonstate.edu/concern/defaults/v118rf03f

This is the publisher’s final pdf. The published article is copyrighted by the Canadian Aeronautics and Space Institute and can be found at:  http://www.casi.ca/cdn-journal-of-remote-sensing.

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • The emergence of a new generation of remote sensing and geopositioning technologies, as well as increased capabilities in image processing, computing, and inferential techniques, have enabled the development and implementation of increasingly efficient and cost-effective multilevel sampling designs for forest inventory. In this paper, we (i) describe the conceptual basis of multilevel sampling, (ii) provide a detailed review of several previously implemented multilevel inventory designs, (iii) describe several important technical considerations that can influence the efficiency of a multilevel sampling design, and (iv) demonstrate the application of a modern multilevel sampling approach for estimating the forest biomass resources in a remote area of interior Alaska. This approach utilized a combination of ground plots, lidar strip sampling, satellite imagery (multispectral and radar), and classified land cover information. The variability in the total biomass estimate was assessed using a bootstrapping approach. The results indicated only marginal improvement in the precision of the total biomass estimate when the lidar sample was post-stratified using the classified land cover layer (reduction in relative standard error from 7.3% to 7.0%), whereas there was a substantial improvement in the precision when the estimate was based on the biomass map derived via nearest-neighbor imputation (reduction in relative standard error from 7.3% to 5.1%).
Resource Type
Date Available
Date Issued
Citation
  • Andersen, H.E., J. Strunk, H. Temesgen, D. Atwood, and K. Winterberger. 2011. Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in boreal forests of interior Alaska. Canadian Journal of Remote Sensing. 37(6): 596-611.
Academic Affiliation
Series
Rights Statement
Publisher
Language
Replaces
Additional Information
  • description.provenance : Made available in DSpace on 2012-06-22T17:49:44Z (GMT). No. of bitstreams: 1 Anderson_etal_2011.pdf: 710909 bytes, checksum: a9d5bf0b4c9017d1a367eab2b0b55d5f (MD5) Previous issue date: 2011-12
  • description.provenance : Approved for entry into archive by Deanne Bruner(deanne.bruner@oregonstate.edu) on 2012-06-22T17:49:44Z (GMT) No. of bitstreams: 1 Anderson_etal_2011.pdf: 710909 bytes, checksum: a9d5bf0b4c9017d1a367eab2b0b55d5f (MD5)
  • description.provenance : Submitted by Logan Bernart (logan.bernart@gmail.com) on 2012-06-15T21:22:11Z No. of bitstreams: 1 Anderson_etal_2011.pdf: 710909 bytes, checksum: a9d5bf0b4c9017d1a367eab2b0b55d5f (MD5)

Relationships

In Administrative Set:
Last modified: 07/06/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items