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Shrub biomass estimation in Mu Us Sandland using simple GO model and multi-angle observations

机译:利用简单GO模型和多角度观测值估算毛乌素沙地灌木生物量

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Forest biomass is an important indicator in carbon sequestration capacity and forest carbon budget evaluation, but there is less focus on shrub biomass. Multi-angle images provide the volume scattering information which could improve inversion accuracy. HJ-1 satellites are the sun synchronous recurrent frozen orbit small satellite constellation for environment and disaster monitoring and forecasting and were launched on September 6, 2008, China, with a repetition cycle of two days. Now 6 angle observations have been built up from several days of HJ-1A / B images. Images were first calibrated both geometrically and atmospherically. A simplified Geometric-Optical(SGM) model was used for the parameters estimation. The background estimation was conducted from the LiSparse-RossThin kernel weights and the Walthall empirical model. Then, the three kernel weights of the LiSparse-RossThin model were retrieved for each location. Finally, the shrub cover and radius were retrieved from SGM model. Biomass was estimated from the shrub cover and radius. 21 plots for background estimation and verification were measured during July 2009. The R2 between simulated cover and measured cover is 0.21, but the RMSE of the model fitting is 0.09. The distribution of the shrub cover estimated from multi-angle HJ images is coincidence with fine resolution Google Earth image. So is the biomass distribution. The weak relationship may be because the higher spatial heterogeneity, the view angles' limitation, and the time variance among images. The multi-angle HJ images are low cost which is useful in far and extended sandland monitoring and evaluation. The results reported here also showed that the development of HJ satellite data for wide range of mapping application.
机译:森林生物量是固碳能力和森林碳预算评估的重要指标,但对灌木生物量的关注较少。多角度图像提供了体积散射信息,可以提高反演精度。 HJ-1卫星是用于环境和灾害监测与预报的太阳同步循环冻结轨道小卫星星座,于2008年9月6日在中国发射,重复周期为两天。现在,通过几天的HJ-1A / B图像已经建立了6个角度观测。首先对图像进行几何和大气校准。简化的几何光学(SGM)模型用于参数估计。背景估计是根据LiSparse-RossThin核权重和Walthall经验模型进行的。然后,针对每个位置检索LiSparse-RossThin模型的三个内核权重。最后,从SGM模型中获取了灌木的覆盖度和半径。生物量是根据灌木的覆盖面积和半径估算的。在2009年7月期间,共测量了21个用于背景估计和验证的地块。模拟覆盖层和测量覆盖层之间的R 2 为0.21,而模型拟合的均方根误差(RMSE)为0.09。根据多角度HJ图像估算的灌木覆盖度分布与高分辨率Google Earth图像一致。生物量分布也是如此。这种弱关系可能是因为较高的空间异质性,视角的局限性以及图像之间的时间差异。多角度HJ图像价格低廉,可用于远距离和扩展的沙地监测和评估。此处报告的结果还表明,HJ卫星数据的开发适用于广泛的制图应用。

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