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Extraction of forest height by using GF-2 cross-track stereo images

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：niwj@radi.ac.cn
  • Introduction：倪文俭(1982—　)，男，研究员，研究方向为森林遥感机理模型发展及基于多源遥感数据的森林植被碳储量及其动态变化监测。E-mail：niwj@radi.ac.cn
Wenjian NI12,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

Dafeng ZHANG12,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

Yao WANG12,  
  • Affiliation：

    Research Institute of Forest Resources Information Techniques of Chinese Academy of Forestry, Beijing 100091, China

Yong PANG3,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China

Zhiyu ZHANG1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

Jianli LIU12,  
  • Affiliation：

    Forestry Science and Technology Information Research Institute of Chinese Academy of Forestry, Beijing 100091, China

Yating HE4,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China

Wei GUO1

résumé

A map of carbon storage and its dynamics of forest vegetation comprise the basic dataset for the calculation of the carbon balance of terrestrial ecosystems. Accurate estimation of forest canopy height, which is an important indicator of forest aboveground biomass, is essential for the mapping of carbon storage of forest vegetation carbon. Existing research has indicated that stereo images acquired by professional spaceborne or airborne stereo systems can be used to extract forest canopy height. However, the acquisition of optical photogrammetric images is hindered by cloud coverage and rains. Regional mapping of forest aboveground biomass should be based on the synergy of multiple sources of optical stereo images. Although the Chinese GF-2 is not a satellite specially designed for professional spaceborne photogrammetric systems, GF-2 theoretically possesses a stereo mapping capability because of its high spatial resolution of 0.8 m and rolling capability of ±35°. This study aims to explore the practical feasibility of extracting forest canopy height by using GF-2 stereo imagery. Two scenes of GF-2 images acquired on June 20, 2015, and July 19, 2016, are processed by a commercial stereoscopic processing software to generate the point cloud. A Digital Surface Model (DSM) is derived through the rasterization of the GF-2 point cloud. The canopy height model (CHM) is extracted from GF-2 DSM subtracted by the digital elevation model from LiDAR data. GF-2 CHM and LiDAR CHM are compared. GF-2 CHM exhibits approximately the same spatial pattern as LiDAR CHM. Pixel-by-pixel linear regression shows that GF-2 CHM is highly correlated with LiDAR CHM, with R2 = 0.51 and root-mean-square error = 3.6 m. Stereo imagery acquired by the Chinese GF-2 can be used to describe the vertical structure of forest canopy top. Forest canopy height can be extracted from GF-2 stereo imagery if an understory elevation of the ground surface is available.

mots-clés

forest aboveground biomass;forest height;photogrammetry;stereoscopic observation;GF-2;lidar

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