Applying terrestrial lidar for evaluation and calibration of airborne lidar-derived shrub biomass estimates in Arctic tundra
- Resource Type
- Authors
- Natalie T. Boelman; Heather E. Greaves; Troy S. Magney; Lee A. Vierling; Kevin L. Griffin; Case M. Prager; Jan U. H. Eitel
- Source
- Remote Sensing Letters. 8:175-184
- Subject
- Canopy
Biomass (ecology)
010504 meteorology & atmospheric sciences
ved/biology
Ecology
ved/biology.organism_classification_rank.species
0211 other engineering and technologies
Sampling (statistics)
02 engineering and technology
Atmospheric sciences
01 natural sciences
Shrub
Tundra
Lidar
Earth and Planetary Sciences (miscellaneous)
Calibration
Environmental science
Electrical and Electronic Engineering
Root-mean-square deviation
021101 geological & geomatics engineering
0105 earth and related environmental sciences
- Language
- ISSN
- 2150-7058
2150-704X
Monitoring of climate-driven expansion of low-stature shrubs in Arctic tundra can be improved through application of high-resolution remote sensing. However, the destructive nature of harvest sampling that is usually performed for validation of these data is resource intensive and can limit future comparisons by destroying benchmark measurements. We compared aboveground shrub biomass estimates derived from terrestrial laser scanning (TLS) and airborne laser scanning (ALS) with the goal of determining whether TLS data can be used to accurately calibrate ALS estimates of shrub biomass in Arctic tundra. We used a leave-one-out cross-validation calibration of canopy volume against harvested shrub biomass to establish predictive relationships between TLS canopy volume and harvested shrub biomass, and between ALS canopy volume and TLS-derived shrub biomass estimates. TLS produced more accurate predictions of shrub biomass (R2 = 0.78; root mean square deviation [RMSD] = 102 g) than did ALS, but the accur...