The use of sun elevation angle for stereogrammetric boreal forest height in open canopies.

Abstract

Stereogrammetry applied to globally available high resolution spaceborne imagery (HRSI; Larix forests with slopes 35° and < 25° (during snow-free conditions) produced characteristic and consistently distinct distributions of elevation differences from reference lidar. The former include DSMs of near-ground surfaces with root mean square errors < 0.68 m relative to lidar. The latter, particularly those with angles < 10°, show distributions with larger differences from lidar that are associated with open canopy forests whose vegetation surface elevations are captured. Terrain aspect did not have a strong effect on the distribution of vegetation surfaces. Using the two DSM types together, the distribution of DSM-differenced heights in forests (μ = 6.0 m, σ = 1.4 m) was consistent with the distribution of plot-level mean tree heights (μ = 6.5 m, σ = 1.2 m). We conclude that the variation in sun elevation angle at time of stereopair acquisition can create illumination conditions conducive for capturing elevations of surfaces either near the ground or associated with vegetation canopy. Knowledge of HRSI acquisition solar geometry and snow cover can be used to understand and combine stereogrammetric surface elevation estimates to co-register and difference overlapping DSMs, providing a means to map forest height at fine scales, resolving the vertical structure of groups of trees from spaceborne platforms in open canopy forests.

Plant phenotyping relevance

ステレオ画像と太陽高度を用いて森林樹冠高を推定し、LiDARおよびプロット平均樹高と比較検証する手法が中心であるため。

Code and data availability

The article describes stereogrammetric DSM processing on NASA's ADAPT platform and R-based analysis, but no authors' public dataset, code repository, or supplement with paper-specific phenotyping assets is provided. ADAPT is a computing environment and R is a generic library, not paper-specific assets.

No evidence-backed public reproduction asset is currently recorded.