一种简单有效的MODIS LST内插方法

Zhuotong Nan ([email protected], 南卓铜)

本软件实现了一种新的基于相似性原理的MODIS陆表温度(LST)的插值方法。这种LST数据空间插值方法利用具有相似温度变化特征的已知LST像元集合推算缺失的LST。在青藏高原的案例表明传统的地统计方法基本无法处理大范围连续的数据丢失（比如因为云），而本方法明显优于传统方法，可能较合理的得到缺失LST。此方法尤其适用于大范围山地区域。

This tool implements a new interpolation method for MODIS land surface temperature (LST) following the theory of similarity. It estimates the missing LST pixels by known LST pixel sets which bear similar characteristics of LST variation as the missing pixels. A case study on the Qinghai Tibet plateau has already been carried out, showing its obvious advantages over the traditional geostatistic methods, the latter was unable to do with a large area and temporally continuous data missing situations. This approach is especially good for a study area with a large area and mountainous terrain.

fig 1a, with this approach

fig 1b, with Kriging

Continue reading →