Abstract | ||
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In this study, several major issues associated with forest biomass mapping have been investigated using an integrated dataset, and a preliminary forest biomass map of northeastern China is presented. Three biomass regression models, stepwise regression (SR), partial least-squares regression (PLSR), and support vector regression (SVR), were developed based on field biomass data, Geoscience Laser Altimeter System (GLAS) data, and Moderate Resolution Imaging Spectroradiometer (MODIS) data. The biomass estimates using the SVR model were the most reasonable. The accuracy of the biomass predictions was improved through a combination of bootstrapping and the SVR method. The rich temporal information in MODIS data and the multiple-angle information in Multi-angle Imaging Spectro Radiometer (MISR) data were also explored for forest biomass mapping. Results indicated that a MODIS time series data alone, without MISR data, was capable of mapping forest biomass. A forest biomass map was generated using the optimal biomass regression model and the MODIS time series data. Finally, an uncertainty analysis of the biomass map was carried out and a comparison with published results using other methods was made. |
Year | DOI | Venue |
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2014 | 10.1109/JSTARS.2013.2256883 | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of |
Keywords | Field | DocType |
partial least-squares regression,geoscience laser altimeter system (glas) data,geoscience laser altimeter system,stepwise regression,support vector regression,regression analysis,svr model,misr data,biomass prediction,modis time series data,random forests,temporal information,field biomass data,multiangle imaging spectroradiometer,northeastern china,least squares approximations,plsr,glas data,biomass regression model,multiple-angle information,biomass estimate,uncertainty analysis,vegetation mapping,moderate resolution imaging spectroradiometer,time series,forest biomass mapping,vegetation,support vector machines,bootstrapping | Biomass,Time series,Moderate-resolution imaging spectroradiometer,Altimeter,Vegetation,Stepwise regression,Regression analysis,Remote sensing,Mathematics,Radiometer | Journal |
Volume | Issue | ISSN |
7 | 1 | 1939-1404 |
Citations | PageRank | References |
10 | 0.91 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yuzhen Zhang | 1 | 10 | 0.91 |
Shunlin Liang | 2 | 611 | 116.22 |
Guoqing Sun | 3 | 162 | 49.24 |