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Forest and Grassland Resources Research >

2020 , Vol. 0 >Issue 6: 135 - 142

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2020.06.022

Technical Application

Determination and Estimation of Pinus massoniana Stand Volume and Saturation Point Based on Landsat-8 OLI Data

  • Zhongqiu SUN ,
  • Fayun WU ,
  • Yang HU ,
  • Xianlian GAO ,
  • Jingping Gao
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  • 1. Academy of Inventory and Planning,National Forestry and Grassland Administration,Beijing,100714,China
    2. Ningxia University,Yinchuan 750021,China

Received date: 2020-09-24

  Revised date: 2020-11-06

  Online published: 2021-01-26

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Abstract

This paper takes 72 Pinus massoniana forest plots (25 m × 25 m) in Hunan Province as the research object based on the method of estimating the forest biomass saturation point proposed in previous studies (Scheme 1) and propose a simpler binomial saturation point estimation method (Scheme 2).According to the saturation point estimation method,the study proposes a new stock volume estimation model for a comparative analysis with multiple stepwise regressions.It finds that the maximum saturation point estimation results of Scheme 1 and Scheme 2 were 217.05 m3/hm2 and 206.86 m3/hm2,respectively.Based on the vegetation index information,the maximum saturation point estimation results of Scheme 1 and Scheme 2 were 196.95 m3/hm2 and 183.06 m3/hm2,respectively.In the modeling test phase,based on the newly-proposed binomial model and the multiple stepwise regression mode,R2 was 0.49 and 0.29,MAE was 53.76 m3/hm2 and 63.35 m3/hm2,and RMSE was 58.71 m3/hm2 and 69.53 m3/hm2,respectively.Compared with Scheme 1,the method for estimating the saturation point of forest stock volume (FSV) in Scheme 2 was more scientific and reasonable,and it was a simple method for determining the saturation point of the FSV by remote sensing data.In addition,compared with the multiple stepwise regression model,the binomial model proposed in this study had a better effect in estimating FSV.

Key words： remote sensing image; forest stock volume; saturation point; binomial estimation model; Pinus massoniana

Cite this article

Zhongqiu SUN , Fayun WU , Yang HU , Xianlian GAO , Jingping Gao . Determination and Estimation of Pinus massoniana Stand Volume and Saturation Point Based on Landsat-8 OLI Data[J]. Forest and Grassland Resources Research, 2020 , 0(6) : 135 -142 . DOI: 10.13466/j.cnki.lyzygl.2020.06.022

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