Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Aptdec | 75 | 7 months ago | 2 | gpl-2.0 | C | |||||
NOAA APT satellite imagery decoder | ||||||||||
Heat Income | 29 | 5 years ago | Python | |||||||
Analysis of heat and income in U.S. cities | ||||||||||
Earth Viewer | 18 | a year ago | gpl-3.0 | Java | ||||||
Android application on Google Play. Animated planet Earth with live weather and satellite data. | ||||||||||
Climate | 11 | 6 years ago | mit | Jupyter Notebook | ||||||
Data and analysis of global warming | ||||||||||
Snips Demo Dev Kit | 7 | 5 years ago | mit | Python | ||||||
Official action code for Snips Voice Interaction Development Kit. (Temperature & Relay) | ||||||||||
Oceanographyproject | 5 | 5 years ago | mit | Jupyter Notebook | ||||||
Today satellites provide a surface signature of the temperature with a high spatial frequency: ie a good horizontal resolution but a low vertical resolution. Thanks to the ARGO database collected by buoys making vertical surveys, one has precise but sparse knowledge of the vertical thermal structure of the ocean. The objective of this project is to develop a methodology to statistically combine additional information to obtain a 3D time series sufficiently resolved horizontally and vertically to follow the eddies. It is based on a regression classification method that allows both to classify the temperature profiles and to propose a linear model between the satellite observations and the information of the buoys according to its label. | ||||||||||
Mfctr Cnn | 5 | 4 years ago | 1 | Python | ||||||
Tensorfolw code for" Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on Multiscale Feature Connected Convolutional Neural Network"(Remote sensing 2019) |