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Forests 2014, 5(6), 1267-1283; doi:10.3390/f5061267

Mapping Forest Biomass Using Remote Sensing and National Forest Inventory in China

1
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
2
Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing 100875, China
3
Key Laboratory of Environmental Change and Natural Disaster of MOE, Beijing Normal University, Beijing 100875, China
4
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
*
Author to whom correspondence should be addressed.
Received: 21 January 2014 / Revised: 19 April 2014 / Accepted: 29 May 2014 / Published: 11 June 2014
(This article belongs to the Special Issue Applications of Remote Sensing to Forestry)
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Abstract

Quantifying the spatial pattern of large-scale forest biomass can provide a general picture of the carbon stocks within a region and is of great scientific and political importance. The combination of the advantages of remote sensing data and field survey data can reduce uncertainty as well as demonstrate the spatial distribution of forest biomass. In this study, the seventh national forest inventory statistics (for the period 2004–2008) and the spatially explicit MODIS Land Cover Type product (MCD12C1) were used together to quantitatively estimate the spatially-explicit distribution of forest biomass in China (with a resolution of 0.05°, ~5600 m). Our study demonstrated that the calibrated forest cover proportion maps allow proportionate downscaling of regional forest biomass statistics to forest cover pixels to produce a relatively fine-resolution biomass map. The total stock of forest biomass in China was 11.9 Pg with an average of 76.3 Mg ha−1 during the study period; the high values were located in mountain ranges in northeast, southwest and southeast China and were strongly correlated with forest age and forest density.
Keywords: biomass; forest inventory; remote sensing; forest cover proportion; spatial distribution biomass; forest inventory; remote sensing; forest cover proportion; spatial distribution
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Du, L.; Zhou, T.; Zou, Z.; Zhao, X.; Huang, K.; Wu, H. Mapping Forest Biomass Using Remote Sensing and National Forest Inventory in China. Forests 2014, 5, 1267-1283.

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