Evaluation of Six Methods for Extracting Relative Emissivity Spectra from Thermal Infrared Images

Urban Thermal Environment and Heat Island in Ho Chi Minh City, Vietnam from Remote Sensing Data

“…If thermal radiation is measured in N bands, there will be N+1 unknown parameters including N layer of emissivity (for N-band) and 1 layer of surface temperature. The estimate of emissivity and temperature data in multispectral thermal infrared data requires additional assumptions to solve the unknown variable [9,11]. The assumption is often related to the emission measurements in the laboratory or in the field.…”

Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data

“…Li, Becker, Stoll, and Wan (1999) compares these methods with simulated TIMS (Thermal Infrared Multispectral Scanner) data, and shows that all these methods are sensitive to the uncertainties of atmosphere and an error of 20% in water vapor in mid-latitude summer atmosphere may lead to an error up to 0.03 in the relative emissivity in channel 1 of TIMS (at 8.379 Am), and the alpha method is even worse.…”

Generation of Added Values Products Supporting Risk Analysis

“…In the literature, different "nonexact" solutions are given to this problem, called Temperature and Emissivity Separation (TES). Details of the different algorithms that have been proposed so far are discussed in [Gillespie, 1998, ;Li et al, 1999]. In this project we use the TES algorithm [Gillespie, 1998] and where not possible the well established method of the Emissivity Spectrum Normalization (ESN) [Gillespie, 1985;Realmuto, 1990].…”