Forest canopies have an important influence on the global climate balance. Through the analysis of the temperature of the canopy, it is possible to infer about the physiological aspects of the plants, helping to understand the behavior of the vegetation and, consequently, in the environmental monitoring and management of green areas. This study aims to validate the MOD11A2 V006 product from canopy surface temperature data obtained by an infrared radiation sensor. For the validation of the MOD11A2 product, a comparative analysis was performed between the land surface temperature (LST) data, obtained by the MODIS sensor, and the canopy temperature data, obtained by the SI-111 infrared radiation sensor coupled to the Itatiaia National Park (PNI) micrometeorological tower. Meteorological variables and land surface temperature collected from January to December 2018 in the PNI were also analyzed. The results reveal that the MOD11A2 product overestimates the canopy temperature in the daytime (MB ranging from 1.56 to 3.57 °C) and underestimates in the night time (MB ranging from − 0.18 to − 4.22 °C). During daytime, the months corresponding to the dry season presented a very high correlation (r = 0.74 and 0.86) and the highest values for the Willmott index (d = 0.70 and 0.64). At nighttime, the MOD11A2 product did not present a good performance for the LST estimation, especially in the rainy season. Therefore, we observed that the MOD11A2 product has limitations to estimate the land surface temperature and that possible changes in the algorithm of this product can be performed for high atmospheric humidity conditions.

林冠层对全球气候平衡具有重要影响。通过对冠层温度的分析，可以推断出植物的生理特性，从而有助于了解植被的行为，从而有助于对绿地的环境监测和管理。这项研究旨在通过红外辐射传感器获得的机盖表面温度数据来验证MOD11A2 V006产品。为了验证MOD11A2产品，在MODIS传感器获得的陆地表面温度（LST）数据和与Itatiaia国家公园耦合的SI-111红外辐射传感器获得的冠层温度数据之间进行了比较分析。 （PNI）微气象塔。还分析了2018年1月至12月在PNI中收集的气象变量和地表温度。结果表明，MOD11A2产品在白天高估了顶篷温度（MB在1.56至3.57°C范围内），而在夜间低估了顶篷温度（MB在− 0.18至− 4.22°C范围内）。在白天，与旱季相对应的月份具有很高的相关性（r = 0.74和0.86）和Willmott指数的最大值（d = 0.70和0.64）。在夜间，MOD11A2产品在LST估算中表现不佳，尤其是在雨季。因此，我们观察到MOD11A2产品在估算陆地表面温度方面存在局限性，并且可以针对高大气湿度条件对该产品的算法进行可能的更改。