15 May 2014

SNAMP Paper Wins an Award!

Dr. Marek Jakubowski's paper "Predicting surface fuel models and fuel metrics using LiDAR and CIR imagery in a dense, mountainous forest" has been awarded the 2014 ERDAS Award for Best Scientific Paper in Remote Sensing by the American Society for Photogrammetry and Remote Sensing (ASPRS). They bestowed the award for "an outstanding paper of scientific merit that advances the knowledge of remote sensing technology".

In the paper we compared the ability of several classification and regression algorithms to predict forest stand structure metrics and standard surface fuel models. We used clustering, regression trees, and support vector machine algorithms to analyze high density (average 9 pulses/m2), discrete return, small footprint lidar data, along with multispectral imagery. This is a comprehensive examination of the relative utility of lidar and optical imagery for forest fuel mapping, and should be useful for forest science and management.

SNAMP PUB #13: Jakubowski, M. K., Q. Guo, B. Collins, S. Stephens, and M. Kelly. 2013. Predicting surface fuel models and fuel metrics using lidar and CIR imagery in a dense, mountainous forest. Photogrammetric Engineering and Remote Sensing 79(1):37-49

For more on the paper, see the abstract here.

Comments

1 Shufei Lei says...

Congratulations to SNAMP and to Marek.

Posted at 4:11 p.m. on May 15, 2014

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