A Region-Growing Segmentation Approach to Delineating Timberline from Satellite-Derived Tree Fractional Cover Products

Tianqi Zhang,Jitendra Kumar,Forrest M. Hoffman,Valeriy Ivanov,Jingfeng Wang,Aleksey Y. Sheshukov,Wenbo Zhou, Paul Montesano,Desheng Liu

Remote sensing（2025）SCI 2区SCI 3区

Environmental Sciences Division

Cited 0|Views20

Abstract

Timberline marks the transitions from continuous forests to sparse forests and tundra landscapes. As the spatial distribution and dynamics of timberline are closely associated with regional energy and carbon balance, mapping timberline is important to a wide range of environmental and ecological studies. However, current timberline delineation approaches remain under-developed. We proposed an automatic timberline delineation method based on a seeded region-growing segmentation technique and satellite-derived products of tree fractional cover. We applied our approach to the West Siberian Plain and Alaska treeline regions as defined by the Circumpolar Arctic Vegetation Map. The results demonstrate the effectiveness of the proposed method for the accurate delineation of the timberlines that spatially align well with very-high-resolution satellite images. Based on the delineated timberlines, we find regional-scale tree encroachment to be not as substantial as previously reported. The proposed approach can be applied to understanding climate-induced forest responses and inform forest management practices.

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【要点】：本文提出了一种基于种子区域生长分割技术的自动化林线划分方法，利用卫星衍生的树分数覆盖产品，提高了林线界定的准确性。

【方法】：通过种子区域生长分割技术，结合卫星衍生的树分数覆盖产品，实现了林线的自动划分。

【实验】：在北极圈植被图定义的西西伯利亚平原和阿拉斯加林线区域应用该方法，结果表明该方法能有效划分林线，与高分辨率卫星图像的空间对应良好，发现区域尺度上的树木入侵并不如先前报道的那么显著。