Résumé
The CAMCATT-AI4GEO extensive field experiment took place in Toulouse from 14 to 25 June 2021. Its main objective was the acquisition of a new reference dataset on an urban site to support the development and validation of data products for the future TRISHNA mission. This field campaign led to a unique set of data combining airborne VISNIR-SWIR hyperspectral imagery, multispectral thermal infrared imagery and 3D LiDAR acquisitions along with various ground data collected, for some of them, simultaneously to the flight. The ground-based dataset comprises surface reflectance measured spectrally using ASD spectroradiometers as well as in six spectral bands spreading from shortwave to thermal infrared and for two observation angles with a SOC410-DHR handheld reflectometer. It is completed with land surface temperature (LST) and emissivity (LSE) retrieved from thermal infrared radiance acquired in 6 spectral bands using CIMEL radiometers. It also includes meteorological data coming from 4 radio soundings performed during the flights, data routinely collected at the Blagnac airport reference station as well as air temperature and humidity acquired using instrumented cars following two different itineraries. As initially intended, this dataset will allow the validation of at-surface radiance, LST and LSE data products as well as higher-level products such as air temperature or comfort index. It will also provide valuable opportunities for other applications in urban climate studies, for example, the validation of microclimate models. This presentation aims to present the various data acquired during the CAMCATT-AI4GEO field experiment about the foreseen objectives and potential future applications.