6533b852fe1ef96bd12aab81

RESEARCH PRODUCT

Performance of TES method over urban areas at a high spatial resolution scale

subject

description

The Temperature and Emissivity Separation (TES) algorithm is used to retrieve the LSE and LST values from hyperspectral sensors. In this work we analyse the performance of this methodology over urban areas. Three different sources of error in the processing chain of the remote sensing imagery are detected: the algorithm itself, the atmospheric correction and the 3D structure of the urban scenes. The TITAN tool is used to model all the radiative components of the signal registered by a sensor. Results show that: first, the TES algorithm used reproduces the LSE (LST) of urban materials within an RMSE of 0.017 (0.9 K). Second, 20 % of uncertainty in the water vapour content of the total atmosphere introduce an RMSE of 0.005 (0.4 K) for the LSE (LST) product. Third, for a standard case, the 3D structure of an urban canyon leads to an RMSE of 0.005 (0.2 K) for the LSE (LST) retrieval of the asphalt placed at the bottom of the scene.