Modelling of soil moisture in high spatial resolution for farmed grasslands in China based on airborne thermal data

在内蒙古，降雨类型的异质性、放牧强度和地形的差异导致土壤水分具有很强的时空变异性，这对植被生长有很大影响，对CO2和水分通量也有影响。将使用大气边界层模式HIRVAC和MAGIM研究小组在2009年实地活动期间获得的热图像，用一种新的方法模拟近地表土壤水分的时空分布和变异性。热成像是使用微光飞机收集的，这是一个特别适合偏远地区的适当平台。由此产生的土壤水分网格将允许在田间和地方尺度上分析土壤水分的空间变异性。高的几何分辨率(1米)缩小了点表面和卫星测量之间的差距。

In Inner Mongolia the heterogeneity of rainfall patterns, differences in grazing intensity and topography lead to strong temporal and spatial variability of soil moisture which has great effects on vegetation growth and influences CO2 and water fluxes. The spatial and temporal distribution and variability of near surface soil moisture will be modelled with a new approach using the atmospheric boundary layer model HIRVAC and thermal imagery obtained during the 2009 field campaign within the MAGIM research group. Thermal imagery was collected using a microlite aircraft which emerged as an adequate platform particularly for remote areas. The resulting soil moisture grids will allow for the analysis of spatial soil moisture variability at field and local scale. The high geometrical resolution (1 m) closes the gap between point surface and satellite measurements.