Jul 2026· The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences· Vol XLIX-B3-2026, pp. 421-429· 0 citations· 2 references
Abstract
Abstract. Urban vegetation is essential for mitigating the Urban Heat Island effect, yet its cooling performance depends on its three-dimensional structure. This study combines high-resolution Unmanned Aerial Vehicle - based LiDAR (Zenmuse L2) and thermal imaging (Zenmuse H20) to analyze vegetation structure and surface temperature across 4 urban parks in San Nicolás de los Garza, Mexico. LiDAR data were processed to generate Digital Terrain Model, Digital Surface Model and Canopy Height Model models, enabling the segmentation of individual trees and extraction of structural metrics such as canopy height, crown area and point density. Thermal orthomosaics were co-registered with LiDAR models to quantify temperature contrasts between vegetated and impervious areas. Results reveal consistent cooling effects in all parks, with vegetated zones showing 8–15 °C lower surface temperatures depending on canopy density and maturity. Larger parks with continuous canopies displayed the strongest thermal regulation. This integrated LiDAR–thermal approach provides a precise and scalable framework for assessing microclimatic benefits of urban vegetation, supporting climate-resilient planning in rapidly urbanizing regions.
Urban parks are widely regarded as important mitigation elements for reducing urban heat stress, and their cooling influence is commonly quantified using Park Cooling Distance (PCD) derived from satellite-based land surface temperature (LST) data. However, the physical interpretation and robustness of these metrics rem...
B. Stumpe, Jürgen Treptow, Bernd Marschner· Science of the Total Environ...· 0 citations
Airborne light detection and ranging (LiDAR) provides detailed 3-D structural information for forest attribute retrieval. However, existing parametric models for stand volume estimation often exhibit limited transferability and robustness across heterogeneous forest conditions. This study introduces a LiDAR 3-D structu...
S. Nie, Cheng Wang, Xiao-Xiao Zhu et al.· IEEE Transactions on Geoscie...· 0 citations
Climate change and rapid urbanisation are intensifying the urban heat island effect, increasing thermal stress, degrading air quality, and leading to rising energy demand. Monitoring neighbourhood-scale heat requires Land Surface Temperature (LST) observations at fine spatial and temporal resolutions, yet satellite the...
R. Andriambololonaharisoamalala, Petra Helmholz, Ivana Ivánová et al.· ISPRS International Journal...· 0 citations
Accurate knowledge of vegetation structure is crucial for many aspects of the scientific study of ecosystems. LiDAR is a leading technology for efficiently capturing vegetation structure and plays an important role in forestry and forest science. LiDAR systems can operate from a variety of platforms, including tripod...
M. Davoudkhani, Katja Richter, Anne Bienert et al.· PFG – Journal of Photogramme...· 0 citations
Alpine and pre-Alpine regions are more affected by climate change than other parts of Europe. Their complex topography and dispersed urban structure present both challenges and opportunities for solar design strategies. Dynamic building energy simulations typically rely on high-resolution weather data from reference st...
Alen Hausmeister, Jošt Rogelj, K. M. Rebec· Journal of Physics, Conferen...· 0 citations
Land-atmosphere interactions, urban thermal environments, and the impacts of land-use and land-cover (LULC) alterations are effectively grasped through the precise measurement of land surface temperature (LST). In this work, Landsat-8 OLI/TIRS imagery from 2014 and 2024 was utilized to track ten-year variations in LST...
