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Remote Sens. 2014, 6(12), 12409-12426; doi:10.3390/rs61212409

Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and Airborne LiDAR

1
ASRC Federal InuTeq, contractor to US Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, 47914 252nd Street, Sioux Falls, SD 57198, USA
2
USGS EROS, 47914 252nd Street, Sioux Falls, SD 57198, USA
*
Author to whom correspondence should be addressed.
Received: 27 June 2014 / Revised: 22 November 2014 / Accepted: 3 December 2014 / Published: 10 December 2014
(This article belongs to the Special Issue Remote Sensing of Changing Northern High Latitude Ecosystems)
View Full-Text   |   Download PDF [4227 KB, uploaded 10 December 2014]   |  

Abstract

Vegetation structure, including forest canopy height, is an important input variable to fire behavior modeling systems for simulating wildfire behavior. As such, forest canopy height is one of a nationwide suite of products generated by the LANDFIRE program. In the past, LANDFIRE has relied on a combination of field observations and Landsat imagery to develop existing vegetation structure products. The paucity of field data in the remote Alaskan forests has led to a very simple forest canopy height classification for the original LANDFIRE forest height map. To better meet the needs of data users and refine the map legend, LANDFIRE incorporated ICESat Geoscience Laser Altimeter System (GLAS) data into the updating process when developing the LANDFIRE 2010 product. The high latitude of this region enabled dense coverage of discrete GLAS samples, from which forest height was calculated. Different methods for deriving height from the GLAS waveform data were applied, including an attempt to correct for slope. These methods were then evaluated and integrated into the final map according to predefined criteria. The resulting map of forest canopy height includes more height classes than the original map, thereby better depicting the heterogeneity of the landscape, and provides seamless data for fire behavior analysts and other users of LANDFIRE data. View Full-Text
Keywords: GLAS; LiDAR; Alaska; LANDFIRE; forest height GLAS; LiDAR; Alaska; LANDFIRE; forest height
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Peterson, B.; Nelson, K.J. Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and Airborne LiDAR. Remote Sens. 2014, 6, 12409-12426.

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