Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China

  title={Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China},
  author={Yunxiang Jin and Xiuchun Yang and Jianjun Qiu and Jinya Li and Tian Gao and Qiong Wu and Fen Zhao and Hailong Ma and Haida Yu and Bin Xu},
  journal={Remote Sensing},
Grassland biomass is essential for maintaining grassland ecosystems. Moreover, biomass is an important characteristic of grassland. In this study, we combined field sampling with remote sensing data and calculated five vegetation indices (VIs). Using this combined information, we quantified a remote sensing estimation model and estimated biomass in a temperate grassland of northern China. We also explored the dynamic spatio-temporal variation of biomass from 2006 to 2012. Our results indicated… CONTINUE READING
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  • The precision of the model for estimating biomass based on ground data and remote sensing was greater than 73%.


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