Thermal desorption is a method of soil treatment that heats soil in order to vaporize and extract contaminants. It relies on temperature measurements to assess the progress of the remediation, but these measurements are generally not numerous because of cost constraints. This paper proposes a low-complexity method to interpolate sparse temperature data over the whole site to generate visual representations that ease the treatment follow-up. The temperatures of the points that are not monitored are approximated by a weighted average of the 3 closest measurements, then a third-degree polynomial is fitted to the data via a finite element method. The resulting approximations yield an overall Root Mean Square Error (RMSE) of the temperature estimation of 35 K, which allows for realistic representations of the temperature at each point of the map with reduced sensor deployment.

热解吸是一种土壤处理方法，它加热土壤以蒸发和提取污染物。它依靠温度测量来评估修复的进度，但由于成本限制，这些测量通常并不多。本文提出了一种低复杂度的方法来插入整个站点的稀疏温度数据，以生成便于后续治疗的视觉表示。未监测点的温度通过 3 个最接近的测量值的加权平均值进行近似，然后通过有限元方法将三次多项式拟合到数据。所得近似值产生 35 K 温度估计的总体均方根误差 (RMSE)，