https://github.com/conormcmahon/imperial_valley_lst
Interrogating long-term change and spatial patterns of Land Surface Temperature in Imperial Valley, CA using satellite imagery.
Science Score: 13.0%
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Low similarity (3.5%) to scientific vocabulary
Repository
Interrogating long-term change and spatial patterns of Land Surface Temperature in Imperial Valley, CA using satellite imagery.
Basic Info
- Host: GitHub
- Owner: conormcmahon
- License: gpl-3.0
- Language: R
- Default Branch: main
- Size: 282 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Imperial Valley - Land Surface Temperature MODIS Investiation
Interrogating long-term change and spatial patterns of Land Surface Temperature in Imperial Valley, CA using MODIS satellite imagery.
Currently, takes list of annual files with 366 bands (one for each day of year) containing residuals away from long-term mean land surface temperature for each pixel and day. Computes linear regressions between temperature residual and year to look for long-term trends.
Run lstresidualpatterns.py first, which runs the regressions. Then lstresidualaggregation.py builds the regression data into an easier format with one file for each sensor and time of day.
Owner
- Name: Conor McMahon
- Login: conormcmahon
- Kind: user
- Repositories: 2
- Profile: https://github.com/conormcmahon
Working with LiDAR, optical imagery, and computer vision to provide monitoring of vegetation on landscape scales in the Southwestern United States.
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- Push event: 4
Last Year
- Push event: 4