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Record #202768:

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 / Hans-Erik Andersen, and 5 others.

Title: 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 / Hans-Erik Andersen, and 5 others.
Author(s): Andersen, Hans-Erik.
Date: 2012.
Publisher: [Canadian Remote Sensing Society]
Abstract: Demonstrates application of modern multilevel sampling approach for estimating forest biomass resources in remote area of interior Alaska. Approach utilises combination of ground plots, LiDAR strip sampling, satellite imagery (multispectral and radar), and classified land-cover information.
Notes:

Offprint: Canadian Journal of Remote Sensing. Vol. 37, no. 6.

Keywords: 53.087.23 -- Remote sensing.
550.8 -- Geology and geophysics, applied.
581.526 -- Ecology, formational.
634.0 -- Forests and forestry.
A -- Geophysical sciences (general).
(*3) -- Arctic regions.
(*49) -- Alaska.
(*493) -- Alaska, interior.
Location(s): SCO: SPRI-PAM: (*49) : 634.0[A]
SPRI record no.: 202768

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500 ## ‡aOffprint: Canadian Journal of Remote Sensing. Vol. 37, no. 6.
520 3# ‡aDemonstrates application of modern multilevel sampling approach for estimating forest biomass resources in remote area of interior Alaska. Approach utilises combination of ground plots, LiDAR strip sampling, satellite imagery (multispectral and radar), and classified land-cover information.
650 07 ‡a53.087.23 -- Remote sensing.‡2udc
650 07 ‡a550.8 -- Geology and geophysics, applied.‡2udc
650 07 ‡a581.526 -- Ecology, formational.‡2udc
650 07 ‡a634.0 -- Forests and forestry.‡2udc
650 07 ‡aA -- Geophysical sciences (general).‡2local
651 #7 ‡a(*3) -- Arctic regions.‡2udc
651 #7 ‡a(*49) -- Alaska.‡2udc
651 #7 ‡a(*493) -- Alaska, interior.‡2udc
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