Commit ac66ad66 authored by Germain Salgues's avatar Germain Salgues

Merge branch 'develop' of http://tully.ups-tlse.fr/grizonnet/let-it-snow into develop

parents 875f6a65 fd78f30f
# Change Log
All notable changes to LIS will be documented in this file.
All notable changes to Let It Snow (LIS) will be documented in this file.
## [1.5] - UNRELEASED
## [Unreleased]
### Added
- Add a mode to build_json.py script to configure and run LIS on Level 2A MAJA native products
- Add a tutorial to describe how to run LIS on MAJA native products
- Add a mode to build_json.py script to configure and run LIS on SEN2COR Level 2A products
- Add a tutorial to describe how to run LIS on SEN2COR products
- Add a mode to build_json.py script to configure and run LIS on U.S. Landsat Analysis Ready Data (ARD) Level 2A products
- Add a tutorial to describe how to run LIS on Landsat ARD products
- The expert mask now includes a 5th bit for the clouds that were present in the product/original cloud mask
- The expert mask now includes an optional 6th bit propagating the slope correction flag from the product mask when available
- The cold cloud removal (pass 1.5) now use an area threshold to process only significant snow areas within clouds and reduce time.
- Link ATBD and LIS Data for test validation to their Zenodo DOI in README.md
### Fixed
- Fix all python scripts headers to avoid to mix python versions
- Fix preprocessing json option which was broken which allows to resample input DTM
- Fix typos in README.md documentation
- Change nodata management (read -32768 from input and write 0 in the
output) in DTM resampling to avoid error in snow line estimation
on area without DTM information
## [1.4] - 2018-02-14
### Added
......@@ -30,7 +45,7 @@ All notable changes to LIS will be documented in this file.
## [1.3.1] - 2017-11-23
### Hotfix
### Fixed
- Fix the intermediate data format (used 1 bit instead of type uint8)
## [1.3] - 2017-11-02
......
......@@ -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](http://tully.ups-tlse.fr/grizonnet/let-it-snow/blob/master/doc/tex/ATBD_CES-Neige.pdf)
* [![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.
......
......@@ -13,8 +13,9 @@
\begin{center}
{ \huge \bfseries Algorithm theoritical basis documentation for an operational snow cover extent product from Sentinel-2 and Landsat-8 data (Let-it-snow)\\}
\rule{\linewidth}{0.5mm}
{ \large \bfseries Simon Gascoin (CNRS/CESBIO), Manuel Grizonnet (CNES/CT/DSI), Tristan Klempka (CNES/CT/DSI)\\ }
{ \large \bfseries V1.0 (Updated for LIS 1.2) - \today \\ }
{ \large \bfseries Simon Gascoin (CNRS/CESBIO), Manuel Grizonnet (CNES), Tristan
Klempka (CNES Intern), Germain Salgues (Magellium) \\ }
{ \large \bfseries V1.0 (Updated for LIS 1.4) - \today \\ }
% \vspace{3cm}
% \includegraphics[width=1\textwidth]{./Images/Theia_en.png}
......
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