Huifang Zhang, Zhonggang Tang, Binyao Wang, Hongcheng Kan, Yi Sun, Yu Qin, Baoping Meng, Meng Li, Jianjun Chen, Yanyan Lv, Jianguo Zhang, Shuli Niu, and Shuhua Yi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-210,https://doi.org/10.5194/essd-2022-210, 2022
Preprint under review for ESSD
The accuracy of regional grassland AGB is always limited by insufficient ground measurements and large spatial gaps with satellite pixels. This paper used more than 37,000 UAV images as bridges to successfully obtain AGB values matching MODIS pixels. The new AGB estimation model had good robustness with an average R2 of 0.83 and RMSE of 34.13 g/m2. Our new dataset provides important input parameters for a comprehensive understanding of the QTP during global climate change.
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