Commit 3594573e authored by Manuel Grizonnet's avatar Manuel Grizonnet
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DOC: add nice link to Data-LIS DOI

parent 4ebe14bf
......@@ -5,7 +5,7 @@ This code implements the snow cover extent detection algorithm LIS (Let It Snow)
The algorithm documentation with examples is available here:
* [![Algorithm theoretical basis documentation](https://zenodo.org/badge/DOI/10.5281/zenodo.1414452.svg)](https://doi.org/10.5281/zenodo.1414452)
* [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1414452.svg)](https://doi.org/10.5281/zenodo.1414452)
To read more about the "Centre d'Expertise Scientifique surface enneigée" (in French):
......@@ -13,7 +13,7 @@ To read more about the "Centre d'Expertise Scientifique surface enneigée" (in F
The input files are Sentinel-2 or Landsat-8 level-2A products from the [Theia Land Data Centre](https://theia.cnes.fr/) or [SPOT-4/5 Take 5 level-2A products](https://spot-take5.org) and a Digital Terrain Model (DTM) like SRTM for instance reprojected at the same resolution as the input image.
##Usage
## Usage
Run the python script run_snow_detector.py with a json configuration file as unique argument:
......@@ -146,7 +146,9 @@ let-it-snow is now installed.
Enable tests with BUILD_TESTING cmake option. Use ctest command to run tests. Do not forget to clean your output test directory when you run a new set of tests.
Data (input and baseline) to run validation tests are available on [Zenodo](http://doi.org/10.5281/zenodo.166511).
Data (input and baseline) to run validation tests are available on Zenodo:
* [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.166511.svg)](https://doi.org/10.5281/zenodo.166511)
Download LIS-Data and extract the folder. It contains all the data needed to run tests. Set Data-LIS path var in cmake configuration files.
Baseline : Baseline data folder. It contains output files of S2Snow that have been reviewed and validated.
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