Reconstructed remote sensing land surface temperature data in North America in 2002-2018
Authors/Creators
- 1. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
- 2. State Key Laboratory of Remote Sensing Science, Institute of remote sensing and Digital Earth Research, Chinese Academy of Science and Beijing Normal University
- 3. College of Urban and Environment Sciences, Peking University
- 4. Civil and Environmental Engineering, University of Connecticut
- 5. Bren School of Environmental Science & Management, University of California
- 6. School of Geography, South China Normal University, Guangzhou
- 7. National Climate Center
- 8. Institute of Atmospheric Physics, Chinese Academy of Sciences
Description
In order to more accurately study the change trend of land surface temperature in North America in recent years, we combined remote sensing and meteorological station data and used various restoration models to generate more accurate and more complete remote sensing land surface temperature data. Our data covered the North American continent from 2002 to 2018, with a spatial resolution of 0.05°×0.05°. In order to facilitate the statistics of the data, we set the projection mode of the data as World_Cylindrical_Equal_Area. We collated the data from different time dimensions, including month, season and year.
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