Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation
Description
This is the preprocessed remote sensing dataset used in the paper "Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation". It contains the preprocessed NOAA data along with the additional files necessary for the TSMP simulation.
Notes
Check our code on GitHub to see how to download and to do the post-processing with TSMP simulation: https://github.com/HakamShams/Focal_TSMP
Table of contents
- NOAA remote sensing vegetation products:
- Smoothed noise removed normalized difference vegetation index (SMN)
- Smoothed noise removed brightness temperature (SMT)
- Mask for cold surfaces and invalid pixels
- NOAA climatology for the years 1981-1988
- NOAA climatology for the years 1989-2016
- Mask for the valid pixels over land
- Static variables
- TSMP statistics
Other
Please check the license for NOAA STAR data at (https://www.star.nesdis.noaa.gov/star/productdisclaimer.php). The license for TSMP simulation can be found at Forschungszentrum Juelich Research Center (https://datapub.fz-juelich.de/slts/cordex/index.html) and the license for the static variables can be found at (https://datapub.fz-juelich.de/slts/regional_climate_tsmp_hi-cam/index.html).
Files
data.zip
Files
(6.0 GB)
| Name | Size | Download all |
|---|---|---|
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md5:d6954012af1bba8726af9aa21c7ddd2c
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6.0 GB | Preview Download |
Additional details
Funding
- SFB 1502/1-2022 450058266
- Deutsche Forschungsgemeinschaft