https://github.com/emilio-berti/monkey-rs
https://github.com/emilio-berti/monkey-rs
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/emilio-berti/monkey-rs
- Owner: emilio-berti
- Created: 2022-12-01T14:11:44.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2025-01-10T13:26:46.000Z (5 months ago)
- Last Synced: 2025-01-21T04:28:10.352Z (5 months ago)
- Language: Python
- Size: 6.67 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Remote Sensing For Monkeys
Just a code template I can clone when needed.
# MODIS
`MODIS` contains utilities to download MODIS data using `luna`. You need to store your NCEI credentials in this folder to use it.
```
writeRDS(c(username = , password = ), "credentials.rds")
```
## download-LST.R
This is best called in non-interactive mode.
You need to pass four arguments:
1. The start date
2. The end date
3. The region of interest (a .shp file)
4. The name of the directory where to download the data
For instance, `Rscript --vanilla download-LST.R 2024-08-01 2024-08-31 italy.shp LST` will download MODIS data for August 2024 for Italy in the `LST` folder. If `LST` does not exist, it will create it.
## merge-LST.R
The downloaded files are named something like `MOD11A1.A2024219.h19v04.061.2024222010545.hdf`.
- `MOD11A1.A` is the name of the MODIS product with LST
- `2024219` indicate the year and day of the year of the file
- `h19v04` is the hour and minute of collection
- `061` is the version of the MODIS product
- `2024222010545` is the product name and time
In the example above, for the day 219 (August 6), there are for files:
- `MOD11A1.A2024219.h18v04.061.2024222010522.hdf`
- `MOD11A1.A2024219.h18v05.061.2024222010530.hdf`
- `MOD11A1.A2024219.h19v04.061.2024222010545.hdf`
- `MOD11A1.A2024219.h19v05.061.2024222010512.hdf`
This can be merged using `merge-LST.R`, also best to be called in non-interactive mode.
You need to pass one arguments:
1. The name of the directory where the data was downloaded
For example, `Rscript --vanilla marge-LTS.R LST`
The merged rasters will be saved as `.tif` rather than `.hdf`.
## VIIRS
`VNP21A1D.A2024217.h19v05.002.2024221202133.h5`
[remotesensing.py](remotesensing.py) is the class template.
[mols-ndvi.py](mols-ndvi.py) is a workflow template.