Estimating Coarse Woody Debris Volume Using Image Analysis and Multispectral LiDAR
| Autor: | Chris Hopkinson, Gregory J. McDermid, Jahan Kariyeva, Gustavo Lopes Queiroz, Julia Linke |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Canopy
010504 meteorology & atmospheric sciences woody debris Multispectral image Forest management 0211 other engineering and technologies 02 engineering and technology woody material 01 natural sciences geobia remote sensing boreal forest Radiometric calibration lidar 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Taiga Forestry lcsh:QK900-989 15. Life on land Random forest Lidar machine learning lcsh:Plant ecology Environmental science Coarse woody debris random forest |
| Zdroj: | Forests, Vol 11, Iss 2, p 141 (2020) Forests Volume 11 Issue 2 |
| ISSN: | 1999-4907 |
| Popis: | Coarse woody debris (CWD, parts of dead trees) is an important factor in forest management, given its roles in promoting local biodiversity and unique microhabitats, as well as providing carbon storage and fire fuel. However, parties interested in monitoring CWD abundance lack accurate methods to measure CWD accurately and extensively. Here, we demonstrate a novel strategy for mapping CWD volume (m3) across a 4300-hectare study area in the boreal forest of Alberta, Canada using optical imagery and an infra-canopy vegetation-index layer derived from multispectral aerial LiDAR. Our models predicted CWD volume with a coefficient of determination (R2) value of 0.62 compared to field data, and a root-mean square error (RMSE) of 0.224 m3/100 m2. Models using multispectral LiDAR data in addition to image-analysis data performed with up to 12% lower RMSE than models using exclusively image-analysis layers. Site managers and researchers requiring reliable and comprehensive maps of CWD volume may benefit from the presented workflow, which aims to streamline the process of CWD measurement. As multispectral LiDAR radiometric calibration routines are developed and standardized, we expect future studies to benefit increasingly more from such products for CWD detection underneath canopy cover. |
| Databáze: | OpenAIRE |
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