草业科学2009，Vol.26Issue(11)：44-50,7.
甘南草地地上生物量的高光谱遥感估算研究
Hyperspectral remote sensing estimation models for aboveground fresh biomass in Gannan grassland
摘要
Abstract
In order to promote the application of hyperspectral remote sensing in the dynamic monitoring and yield estimation of grassland, the canopy spectral reflectance and the aboveground fresh biomass corresponding to the spectra of natural grassland were measured in Gannan grassland. This paper analyzed the spectral reflectance characteristics of four main grassland types, the correlation between the aboveground fresh biomass and reflective spectrum, and the correlation between aboveground fresh biomass and the first derivative spectrum. Using characteristic bands and their combination that were strongly correlated to the aboveground fresh biomass, this paper defined hyperspectral parameters as variables. Thus, the hyperspectral remote sensing estimation models of the grass aboveground fresh biomass were established in Gannan prairie. The estimation models were tested by the experiment data. The results showed that estimation model of D_(723) [y=3.526 lnD_(723)+18.923] was the best, and it's RMSE, relative error, and the correlation coefficient between the estimated value and measured value were 0.208 3, 8.8% and 0.896, Therefore, the model could preferably estimate the grass aboveground fresh biomass in Gannan prairie.关键词
牧草/地上生物量/高光谱遥感/估算模型/甘南草原Key words
grassland/aboveground fresh biomass/hyperspectral remote sensing/estimation model/Gannan分类
信息技术与安全科学引用本文复制引用
张凯,郭铌,王润元,王小平,王静..甘南草地地上生物量的高光谱遥感估算研究[J].草业科学,2009,26(11):44-50,7.基金项目
中国气象局新技术推广项目(CMATG2007Z09) （CMATG2007Z09）
甘肃省退牧还草科技支撑项目(甘退牧200301) （甘退牧200301）
