In recent years there have been global warming events in most areas of the hemisphere. The effects of global warming can result in changes in climate patterns in a certain time, which makes changes in the composition of the global atmosphere and increases air temperature. Increased infrastructure development and reduced vegetation that functions to absorb heat cause an increase in surface temperature. With the development of remote sensing technology, it can be used for study and research purposes. This research was conducted in Grobogan Regency which is one of the regions that is currently quite developed. This study aims to determine the relationship between vegetation height and land surface temperature (LST) and the relationship between vegetation density levels based on NDVI values with vegetation height using correlation and regression analysis methods. Data used to determine vegetation height parameters using Airborne LiDAR while to determine land surface temperature and NDVI using Landsat 8 OLI/TIRS C1 Level 1 Satellite Imagery. The result of Airborne LiDAR data is a canopy height model (CHM) where the lowest parameter of vegetation height is 1 meter and the highest parameter of vegetation height is 28 meters. While the results of the Landsat 8 OLI/TIRS C1 Level 1 Satellite Image are in the form of temperature and NDVI variation maps where there is a temperature range of 22.8°C - 27.2°C. After analyzing the correlation of vegetation height with ground surface temperature and vegetation density based on NDVI values with vegetation height, it can be concluded that vegetation height with ground surface temperature has a very low relationship with a value range of 0.00 - 0.20 and vegetation density based on NDVI values with vegetation height has a low relationship with a value range of 0.21 - 0.40.