MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

http://www.majidkiavarz.com/files/Satellite-derived%20land%20surface%20temperature%20Current%20status%20and%20perspectives.pdf

Satellite-derived land surface temperature: Current status and perspectives

Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

/pdf/remote-sensing-of-the-environment-4yfxjaaswe.pdf

Remote sensing of the environment

An overview of MODIS Land data processing and product status

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

Preliminary estimate of calibration of the moderate resolution imaging spectroradiometer thermal infrared data using Lake Titicaca

Requirements for satellite land surface temperature validation using a silt playa

On the basis of the method developed by Price [1990] for selecting a limited number of channels to best represent the high-resolution spectra of materials within a spectral region, this paper presents a simplified procedure to reconstruct such spectra directly from their spectral measurements in the selected channels. Applying this procedure, it is shown that spectral reflectivities of more than 50 soil and vegetation samples measured in the laboratory at Johns Hopkins University (JHU) can be reconstructed using six selected channels in the 8–13 μm spectral region with an uncertainty of 0.005. It is also shown that the process of spectral channel selection proposed in this paper minimizes the propagation of measurement error to the whole reconstructed spectrum. Thus, if the reconstruction of spectrum is nearly insensitive to a small change in the center wavelengths and widths of the selected channels, the resulting errors on this reconstructed spectrum due to the measurement errors are increased by such a change. In order to validate this approach, the channels selected using the JHU data set are used to reconstruct the spectral data measured at the University of California at Santa Barbara for 43 types of soils. The results showed that the soil reflectance spectrum could be reconstructed by the channel reflectance measured in these six channels with their basis functions to within 0.005 almost over the full spectral range except for wavelengths around 8.6 μm and 9.5 μm for which the reconstruction is within 0.009. It should be kept in mind that these results refer to laboratory spectral data but not to remote sensing data where additional uncertainties will come from radiometric noise, errors associated with radiometric calibration, atmospheric corrections, and temperature/emissivity separation. Appreciable future work therefore has to be done with remote sensing data.

https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/1999JD900479

Channel selection for soil spectrum reconstruction in 8–13 μm region

This paper presents the status of MODIS land-surface temperature (LST) standard products. The accuracy of daily MODIS LST products has been validated in eighteen clear-sky cases with in-situ measurement data collected in field campaigns in 2000 and 2001, being better than 1 K in the range from 263 K to 322 K. Techniques to remove the LSTs contaminated with cloud effects are discussed in order to make the MODIS LST products suitable for regional and global change studies.

Yulin Zhang

Papers

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

Preliminary estimate of calibration of the moderate resolution imaging spectroradiometer thermal infrared data using Lake Titicaca

Requirements for satellite land surface temperature validation using a silt playa

Channel selection for soil spectrum reconstruction in 8–13 μm region

The MODIS land-surface temperature products for regional environmental monitoring and global change studies