Extrapolating active layer thickness measurements across Arctic polygonal terrain using LiDAR and NDVI data sets.

ABSTRACT: Landscape attributes that vary with microtopography, such as active layer thickness (ALT), are labor intensive and difficult to document effectively through in situ methods at kilometer spatial extents, thus rendering remotely sensed methods desirable. Spatially explicit estimates of ALT can provide critically needed data for parameterization, initialization, and evaluation of Arctic terrestrial models. In this work, we demonstrate a new approach using high-resolution remotely sensed data for estimating centimeter-scale ALT in a 5 km² area of ice-wedge polygon terrain in Barrow, Alaska. We use a simple regression-based, machine learning data-fusion algorithm that uses topographic and spectral metrics derived from multisensor data (LiDAR and WorldView-2) to e

SUBMITTER: Gangodagamage C 

PROVIDER: S-EPMC4280899 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature