Volume 44 Issue 9
Sep.  2019
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WEI Xuemei. Estimation of Forest Aboveground Biomass Based on Multi-source Data[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1385-1390. DOI: 10.13203/j.whugis20190149
Citation: WEI Xuemei. Estimation of Forest Aboveground Biomass Based on Multi-source Data[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1385-1390. DOI: 10.13203/j.whugis20190149
shu

Estimation of Forest Aboveground Biomass Based on Multi-source Data

  • 1.

    Provincal Fundamental Geomatic Center of Anhui, Hefei 230031, China

  • 2.

    Anhui Key Laboratory of Smart City and Geographical Condition Monitoring, Hefei 230031, China

Funds: 

Anhui Provincial Funds for Geographical Situation Monitoring of 2017 201788

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  • Author Bio:

    WEI Xuemei, master, senior engineer, specializes in basic geospatial data for constructing public geographic information service platform and geography national condition monitoring. E-mail:1394609345@qq.com

  • Received Date: April 07, 2019
  • Published Date: September 04, 2019
    Graphical Abstract
    • Abstract
  • Taking Landsat8 OLI(operational land imager) as the remote sensing data source, the secondary survey of forest resources and the census of geographical conditions as the main supplementary data, this paper carries out the inversion and estimation of aboveground biomass (AGB).Taking the natural forest in Jinzhai county, Anhui province as the research object, the quantitative inversion model of AGB is established by calculating the spectral, texture and topographic features of Landsat8 OLI covering the study area.By using the second class survey of forest resources, the general survey of geographical conditions and field survey data, the influence of different features on AGB estimation is analyzed.Experimental results show that the relative error between the measured value and the estimated value of the optimal inversion model is 0.708 718 and root mean square error is 1.318 983 based on the forest aboveground biomass obtained by the method adopted in this paper.According to the model, the total biomass of Jinzhai county is 4 723 728 530 t, and the results are in line with the actual situation.The quantitative inversion of AGB and the land method adopted in this study are available for large-scale monitoring of forest resources.
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    • References (16)
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