资源科学 ›› 2016, Vol. 38 ›› Issue (6): 1054-1064.doi: 10.18402/resci.2016.06.05

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基于GF-1 WFV影像的丰宁县植被地上碳储量估算

孔凡婕1,2(), 李晓兵1,2(), 白云晓1,2, 李响1,2, 王宏1,2   

  1. 1. 北京师范大学地表过程与资源生态国家重点实验室,北京 100875
    2. 北京师范大学资源学院,北京 100875
  • 收稿日期:2016-02-22 修回日期:2016-04-28 出版日期:2016-06-20 发布日期:2016-06-18
  • 作者简介:

    作者简介:孔凡婕,女,北京人,硕士生,主要从事生态遥感研究。E-mail:kongfanjie@mail.bnu.edu.cn

  • 基金资助:
    国家重点基础研究发展计划课题(2014CB138803);国家自然科学基金项目(31570451);高分辨率对地观测系统重大专项(20-Y30B17-9001-14/16)

The estimation of aboveground vegetation carbon storage based on GF-1 WFV satellite images in Fengning County

KONG Fanjie1,2(), LI Xiaobing1,2(), BAI Yunxiao1,2, LI Xiang1,2, WANG Hong1,2   

  1. 1. State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing 100875,China
    2. College of Resources Science and Technology,Beijing Normal University,Beijing 100875,China
  • Received:2016-02-22 Revised:2016-04-28 Online:2016-06-20 Published:2016-06-18

摘要:

陆地植被碳储量的定量估算及其空间分布研究有助于了解区域碳平衡,为增汇减排管理及可持续发展提供科学依据。本文以河北省丰宁县为研究区,结合新型国产高分遥感影像GF-1 WFV 和2015年同步野外实测数据,分别建立基于植被指数的森林、灌丛和草地植被地上生物量一元曲线回归模型及多元线性回归模型,选择最优反演模型计算地上生物量,进一步估算植被地上碳密度和碳储量,并结合GIS技术分析其空间分布特征。结果表明:①所建立的多元回归模型对森林和草地植被生物量有较好的反演精度,R2分别为0.528和0.777,基于RVI的指数方程是估算灌丛生物量最佳模型,R2为0.620;②研究区2015年8月森林、灌丛和草地地上植被碳密度估算值分别为55.406tC/hm2、3.304tC/hm2和0.533tC/hm2,碳储量分别为15.714TgC、1.016TgC和0.080TgC,除农田植被外,植被地上碳储量总量为16.810TgC,森林植被为主要碳库;③丰宁县植被碳密度呈现随海拔升高而先升高后降低的趋势,植被地上碳库主要集中在海拔700~1500m之间。

关键词: GF-1 WFV影像, 碳密度, 植被碳储量, 丰宁县

Abstract:

Quantitative estimation of carbon storage of terrestrial vegetation and its distribution can help to understand the regional carbon balance,and provide scientific basis for the management of emission reduction and sustainable development. According to GF-1 WFV satellite remote sensing images and synchronous field surveys conducted in 2015 in Fengning county,Hebei,China we established single curve regression models and multiple linear regression models of aboveground biomass for forest,shrub and grassland. Optical inversion models were selected to calculate vegetation aboveground biomass,and aboveground carbon density and carbon storage were estimated. Spatial distribution features of the study area were analyzed using GIS. We found that our multiple regression models had good inversion precision,which can be well applied to estimate vegetation aboveground biomass for the forest and grassland (R2 values respectively 0.528 and 0.777). The exponential equation based on RVI was the best inversion model to estimate shrub aboveground biomass and the R2 value was 0.620. As at August 2015,the aboveground vegetation carbon densities were respectively 55.406tC/hm2,3.304tC/hm2 and 0.533 t C/hm2 for forest,shrub and grassland. Aboveground vegetation carbon storages were respectively 15.714TgC,1.016TgC and 0.080TgC for forest,shrub and grassland. The total aboveground vegetation carbon storage was 16.810TgC except for croplands,indicating that forest vegetation represents the main aboveground carbon pool. The vegetation carbon density in Fengning county increased, then decreased with rising of elevation. The vegetation aboveground carbon storage lies mainly at an altitude of 700~1500m.

Key words: GF-1 WFV satellite, carbon density, vegetation carbon storage, Fengning county