为提高热红外遥感识别地热异常区的准确度，选取高原铁路廊道作为研究区，基于Landsat8数据采用单窗算法反演得到白天地表温度，并基于ECO2LSTE数据得到夜间地表温度；然后，利用随机森林方法选取海拔、坡度、坡向、累积太阳辐射、NDVI、NDSI、NDWI以及反照率作为输入因子，得到去除太阳辐射效应的地表温度；最后，选取去除太阳辐射效应的地表温度、断裂密度、到水系距离和地磁异常作为指标因子，采用确定性系数模型定量识别地热异常区，并利用已知温泉点对结果进行评价。结果表明： 1）随机森林方法可有效去除非地热引起的温度变化，减弱太阳辐射效应，提高地热异常区识别的准确度； 2）地热异常区评价结果与已知温泉点分布较为一致，高异常区和中异常区的识别结果可靠； 3）高原铁路廊道主要途经7个地热异常区，经过高异常区和中异常区的廊道长度分别为72 km和125 km，泸定—康定、理塘盆地及周边、巴塘、贡觉、昌都—察雅、八宿、波密—鲁朗是需要重点防范高温热害的区段。研究结果初步实现了高原铁路廊道的地热异常区定量化和精细化识别。
To improve the accuracy of identifying geothermal
anomaly areas by thermal infrared remote sensing, a plateau railway corridor is
selected as the research area. The daytime surface temperature is retrieved
using the singlewindow algorithm based on Landsat8 data, and the nighttime surface
temperature is obtained by ECO2LSTE.
Next, the altitude, slope, aspect, cumulative solar radiation, NDVI,
NDSI, NDWI, and albedo are selected as input factors using the random forest
method, and the surface temperature without the solar radiation effect is
obtained. Finally, the surface temperature after removing the solar radiation
effect, fault density, buffer distance to river, and magnetic anomaly are
selected as index factors. The geothermal anomaly area is quantitatively
identified using the certainty factor model, and the results are evaluated
using the known hot spring points. The results reveal the following: (1) The
random forest method can effectively remove the temperature changes caused by
nongeothermal factors, reduce the effect of solar
radiation, and improve the accuracy of identifying geothermal anomalies. (2)
The evaluation results of geothermal anomaly areas are consistent with the
distribution of known hot spring points, and the identification results of high and mediumanomaly areas are reliable. (3)
The plateau railway corridor mainly passes through seven geothermal anomaly
areas, and the lengths of the line passing through the high and mediumanomaly areas are 72 km and 125
km, respectively. LudingKangding, Litang basin and its
surrounding areas, Batang, Gongjue, ChangduChaya,
Basu, and BomiLulang are the sections that need to
focus on preventing high temperature and heat damage. The research results have
preliminarily realized the quantitative and refined identification of
geothermal anomalies in the plateau railway corridor.
