| e-sensing/sits |
415 |
|
0 |
0 |
over 2 years ago |
11 |
January 28, 2022 |
19 |
gpl-2.0 |
R |
| Satellite image time series in R |
| acgeospatial/Julia_Geospatial |
62 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Examples for a blog series on Geospatial Julia using ArchGDAL |
| seandavi/sars2pack |
56 |
|
0 |
0 |
almost 4 years ago |
0 |
|
18 |
other |
R |
| An R package with over 50 highly cited, read-to-use, up-to-date COVID-19 pandemic data resources |
| MBoustani/Geothon |
45 |
|
0 |
0 |
about 10 years ago |
0 |
|
7 |
apache-2.0 |
Python |
| Series of GeoSpatial/GIS Python code examples (Python GIS CookBook) |
| FCC/lpfmpoints |
19 |
|
0 |
0 |
about 9 years ago |
0 |
|
0 |
|
JavaScript |
| Evolution of LPFM Stations |
| terrai/rastercube |
15 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Python |
| rastercube is a python library for big data analysis of georeferenced time series data (e.g. MODIS NDVI) |
| brazil-data-cube/wtss.py |
13 |
|
0 |
0 |
over 2 years ago |
9 |
March 29, 2021 |
20 |
gpl-3.0 |
Python |
| Python Client API for Web Time Series Service |
| greenplum-db/gp-magic-query |
6 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Demo and training of Greenplum multi-modal analytics |
