Tags

Patch 1.6.5 - Fix #69 add compression to syntheses

Patch 1.6.5 - Fix #68 Run snow annual map logs are not written into the log file

Patch 4 fix zs computation

Patch 3 - Manage Muscate format for Landsat densification products.

Patch 2 - Fix metadata creation when no densification

Patch 1 - fix path_out creation if not existing

Tag for lis version 1.6

Tag for lis version 1.5

Tag for lis version 1.4

Version 1.3.1

Added

    Use gdal_trace_outline from the gina-alaska package instead of gdal_polygonize if available

Changed

    Move OTB minimum 6.0.0 which include a fix to handle properly 1 byte TIFF image
    Restore and document correct behaviour for LIS installation with install target(lib, bin,include, python)
    New QGIS style files for raster and vector LIS product
    Use OTB Application Python API instead of call to subprocess
    Use Python Logging module for Python scripts instead of using print
    Changed compute_cloud_mask and compute_snow_mask by OTB applications
    Added a new app to generate the JSON configuration file (build_json.py)
    Changed the way the product is generated to avoid data duplication
    Change rasterize step to contour detection using 8 connectivity to generate the rgb composition
    Improved detection by adjusting default parameter red_pass2 from 0.120 to 0.40
    Improve code quality (pep8 and pylint)
    Improve installation instructions in the README.md
    Fix cpu usage to respect the "nb_threads" parameter set in the json file.
    The output product now use the input product directory name as PRODUCT_ID in the xml file.

- fix segfault if no bin in histogram of altitudes
- fix link error related to python library (boost python)

LIS version 1.2

version 1.1.1

s2 rf param to 12, and cherry-pick update from simon

wrong version in run_detector

LIS release version 1.1.0:

- use gdal python bindings to avoid subprocess call (need to do the same for otb)
- improve testing (more tests, with s2 extract, comment test related to dbf...)
- Update documentation related to validation datasets availale now on zenodo
- move from gpl to afero gpl