A Deep Neural Network-Based Approach for Studying the Relationship Between Land Surface Temperature and Surface Air Temperature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-021-01483-7.pdf
Reference22 articles.
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2. Bhardwaj, A., Jain, K., & Chatterjee, R. S. (2019). Generation of high-quality digital elevation models by assimilation of remote sensing-based DEMs. Journal of Applied Remote Sensing, 13(04), 1.
3. Caesar, J., Alexander, L., & Vose, R. (2006). Large-scale changes in observed daily maximum and minimum temperatures: Creation and analysis of a new gridded data set. Journal of Geophysical Research. https://doi.org/10.1029/2005JD006280
4. Chen, F., Liu, Y., Liu, Q., & Qin, F. (2014). A statistical method based on remote sensing for the estimation of air temperature in China. International Journal of Climatology. https://doi.org/10.1002/joc.4113
5. De Ridder, K., Bertrand, C., Casanova, G., & Lefebvre, W. (2012). Exploring a new method for the retrieval of urban thermophysical properties using thermal infrared remote sensing and deterministic modeling. Journal of Geophysical Research, 117, D17108. https://doi.org/10.1029/2011JD017194
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