Latin American GRSS and ISPRS Remote Sensing Conference
10 - 13 November 2025 • Iguazu Falls, Brazil
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
|
Daily Overview |
| Session | |
|
OP10: Social Applications: Epidemiology and Education Location: Cesar Lattes Auditorium Session Chair: Marcelo Scavuzzo | |
| Presentation 1 | |
2:00pm - 2:20pm
Spatio-Temporal Evaluation of Land Surface Temperature (LST) in Urban Areas: Assessing Its Adequacy for Dengue Risk Models 1: Instituto "Mario Gulich" (UNC-CONAE), Córdoba, Argentina; 2: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy Dengue, one of the main global threats to public health, has experienced a significant increase in its incidence due to the geographic expansion of the Aedes aegypti and Aedes albopictus vectors. This phenomenon is driven by factors such as climate change, urbanization and the emergence of urban heat islands (UHIs), which lead to elevated temperatures that promote the development and transmission of the virus. This study evaluates the spatial and temporal variations of land surface temperature (LST) in Córdoba, Argentina, using remote sensors such as MODIS and Landsat, with the objective of analyzing their relationship with UHIs and Ae. aegypti activity. Besides, we analyzed LST dynamics across data from 2014 to 2024 in a recently urbanized area in order to assess the thermal impact of land cover change. Spatial analysis revealed up to 5 °C differences in LST within the city, with significantly higher values in areas with reduced vegetation. In a specific case, the conversion of a vegetated area into a public park led to an average LST increase of 4 °C over six years, showing greater thermal intensification than a nearby stable vegetated site. Cluster analysis grouped mosquito trap locations based on LST levels, revealing consistent seasonal trends and lower normalized difference vegetation index (NDVI) values in hotter areas. Although the correlation between LST and Ae. aegypti egg counts was generally weak, it strengthened when time lags were considered, with oviposition peaks occurring approximately four weeks after temperature peaks. Our findings confirm the influence of urban land cover changes on thermal variations and its potential to affect Ae. aegypti dynamics. As urban expansion continues, integrating thermal landscape monitoring into vector surveillance systems may help anticipate shifts in mosquito activity and dengue risk. Additionally, our results highlight the importance of using LST data at higher temporal frequency for enhanced vector risk assessment. | |

