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FOREST RESOURCES WANAGEMENT ›› 2011, Vol. 0 ›› Issue (4): 40-47.

• Science and Technology • Previous Articles     Next Articles

Study on Monitoring Method of Forest Biomass Based on MODIS

HAN Aihui1,2, ZHI Changgui2, WANG Xuejun1,2, XIA Chaozong2   

  1. 1. The Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing,100083;
    2. Academy of Forestry Inventory and Planning,State Forestry Administration,Beijing,100714,China
  • Received:2011-08-29 Revised:2011-09-05 Online:2011-08-28 Published:2020-12-21

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Abstract: In this paper,3 northeast provinces are used as the trial area. Multiple Linear Regression method is used to build the forest biomass RS estimation model. In the model building process,some plots’ data of national forest inventory are used as the basic data,and time-serial NDVI of MODIS data and Annual Average Precipitation,Annual Average Evapotranspiration,Annual Average Wettability,Annual Average accumulated temperature,longitude and latitude are also used as independent variables. Test result shows that the accuracy of the model estimation is relatively high,the difference between average biomass per hectare of test plots and the estimated value based on MODIS is 1.30%; but the average difference by positioning test analyzing is 21.87%. So this forest biomass model is suitable for forest biomass macro monitoring.

Key words: forest biomass, remote sensing, MODIS, multiple linear regression model

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