QGIS Python Plugins Repository
Plugins tagged with: climate
5 records found —
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| Name | Featured | Downloads | Author | Latest Plugin Version | Created on ↑ | Stars (votes) | Stable | Exp. | |
|---|---|---|---|---|---|---|---|---|---|
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Otoklim | — | 4686 | Akhmad Faizal P S | 2018-06-02T06:26:29.755159+00:00 | 2017-09-27T11:47:47.280731+00:00 | (6) |
0.1.4 | 0.1.2 |
| This Plugin used to support the automation of the seasonal prediction & analysis produced by BMKG Climatological Station. | |||||||||
|
BHCgeo | — | 2360 | Carvalho Neto, R.M. - UFSM; Cruz, J.C. - UFSM; Cruz, R.C. - UNIPAMPA | 2023-04-12T13:34:57.822083+00:00 | 2020-05-04T19:40:13.725081+00:00 | (8) |
— | 0.3 |
| Calculates the Climatic Water Balance in each pixel | |||||||||
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Geodata to ENVI-met | — | 6003 | Helge Simon | 2024-04-05T13:22:32.842088+00:00 | 2022-07-08T08:51:54.246487+00:00 | (140) |
2.8 | — |
| This plugin lets you export ENVI-met model areas from geodata, run microclimate simulations from QGIS and also enables you to visualize climate model results in QGIS | |||||||||
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DMI Open Data | — | 3533 | Danish Meteorological Institute | 2023-09-05T12:58:42.274085+00:00 | 2022-11-28T13:09:38.605783+00:00 | (4) |
1.0.6 | 1.0.2 |
| This plugin lets you import data from DMIs Open Data | |||||||||
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Nimbo's Earth Basemaps | — | 6095 | Kermap | 2024-01-22T14:42:20.892455+00:00 | 2023-09-04T14:12:30.873471+00:00 | (139) |
0.5 | — |
| Nimbo's Earth Basemaps is an innovative Earth observation service providing cloud-free, homogenous mosaics of the world's entire landmass as captured by satellite imagery. Updated every month.<br><br>Along with this unprecedented refresh rate, Nimbo Earth Basemaps provides users with 4 data layers every month :<br><br>- Natural colors (RGB)<br>- Infrared (NIR)<br>- NDVI (vegetation helath index)<br>- Radar (SAR, VV/VH combination)<br><br>Maximum image resolution is 10m/px.<br>Images are served in WMS/WMTS format.<br><br>Nimbo Earth Basemaps meets a variety of requirements for geospatial analysis professionals, including visualizations fit for machine learning algorithm implementation, monitoring tasks and training models based on time series.<br><br>Nimbo Earth Basemaps' views consist of monthly syntheses using imagery from Sentinel 1 and 2 satellites from the European Copernicus programme.<br><br>Nimbo is developed and published exclusively by Kermap:<br><a href="https://kermap.com" >https://kermap.com</a> | |||||||||
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