Allometric models of Picea spp. biomass for airborne laser sensing as related to climate variables

Abstract

Over the past two decades, active airborne laser sensing technology has been intensively used to scan the forest cover, providing such morphometric indicators of trees as the width and projection area of the crown, the height of the tree. The author’s database of harvest data of 1550 model trees of genus Picea spp. of Eurasia is used in the work. Allometric models of biomass components, including the crown width, tree height, winter temperatures and precipitation as independent variables, are designed. The biomass of all components of equal-sized trees is described by the propeller-shaped 3D picture. In cold regions, when precipitation increases, the biomass decreases, but as one moves to cold regions, it is characterized by an opposite or neutral trend. As the temperature increases in humid regions, the biomass increases, but as the transition to dry conditions begins to decrease.

Estimation of Carbon Stocks of Birch Forests on Abandoned Arable Lands in the Cis-Ural Using Unmanned Aerial Vehicle-Mounted LiDAR Camera

“…Since the early 2000s, LiDAR has been used worldwide as an alternative to traditional forest inventory methods of observations. Unmanned aerial vehicle (UAV) surveys provide objective and maximally accurate data concerning forest stands, including tree heights, crown diameters, and volume, and the number of trees per unit area [23,[41][42][43][44][45][46][47][48][49]. Tree height estimation using a laser approximated more closely to the real height of felled trees than traditional field measurements [50].…”