Terrestrial Hydrology Research Group

Princeton University

Global Land Surface Temperature Data

To access the data, please give some details about yourself and its intended usage. Please cite the following reference in any work that uses the dataset:

Coccia, G., Siemann, A.L., Pan, M., Wood, E.F., 2015: Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS. Remote Sensing of Environment, 170, pp. 290-305.

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Flood in Australia.

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