Version 1.1.0:

Version 0.1.0:
- First release
- Generated with the [QGIS Plugins
templater](https://oslandia.gitlab.io/qgis/template-qgis-plugin/)



Added

* A new data preparation algorithm that combine the first three steps
of hedges preparation. This is now much more convenient to prepare
hedges data as running the three steps independently could be heavy
going. New algorithm can be found in Data preparation section as
"Topological pipeline" (`hedgetools:topologicalpipeline`).
* Both "Catgegorize Wooded Area" and "Preprocess Categorize Wooded
Area" are now duplicated in "Extraction - Lidar" section to make it
easier to follow extraction steps with lidar data.
* Generation of tree cover from lidar data now has a new algorithm
that allow to generate tree cover on vegetation classes with a given
height (`hedgetools:generatetreecoverlidarHAG`), instead of the
algorithm that use only lidar vegetation classes. Both algorithms are
available in `Extraction - Lidar` with prefix "1-" as they represent
the same step of extraction.
* Lidar metrics algorithms (`hedgetools:lidarfeaturemetrics` &
`hedgetools:lidarrastermetrics`) has now a new metric available:
Normalized relative density per strata (NRD). Find out detail on this
metric in documentation.
* HedgeTools now implement algorithms to model hedge's windbreak
effect on landscape from wind data observations. Three new algorithms
are available under the group "Functionality - Windbreak" to both
prepare wind data (`hedgetools:buildwindroseslayer`) and compute the
shelter index (`hedgetools:windbreakraster` and
`hedgetools:windbreakpoints`). Check the documentation to have more
detail on these algorithms.

Changed

* DHM generation algorithm (`hedgetools:generatedhm`) now has a
boolean parameter to fix potential negative values that could lead to
statistical biases. If the parameter is True negative values are
clipped to 0.
* Distance to forest algorithm (`hedgetools:networkdistancetoforest`)
now as a `gap` parameter that allow user to give a maximum distance to
consider hedge and forest that are spatially distant as connected. All
pair of hedge and forest geometry with a distance inferior at gap are
considered as connected. This feature give user more leeway in
connectivity analysis with HedgeTools.
* Topographic position algorithm (`hedgetools:topographicposition`)
now output geomorphon's raster to help user understand hedges
topographic position.

Fixed

* Categorization of wooded areas (`hedgetools:cwa`) could lead to
ZeroDivisionErrors, this is now fixed.
* Lidar tiles preprocessing algorithm
(`hedgetools:lidarpreprocessing`) failed when no mask layer was
provided. Moreover masking could lead to bad height evaluation if
polygons of mask where to strict and removed soil points. Masking
option is now removed and algorithm only preprocess full lidar tiles.
This could take a bit more longer to run but provide better data.
* Fix empty fields after running width algorithm (`hedgetools:width`).
* Incorrect display of geometries after strata proportion algorithm
(`hedgetools:strataproportion`) is now fixed.
* Median axis simplification (`hedgetools:simplifyarc`) was not
simplifying correctly hedges with the same source and target vid
(loop). This is now fixed.
* Algorithms that split hedges (`hedgetools:topologicalpolygon`,
`hedgetools:splitbyinterval`, `hedgetools:splitbyorientation`) were
triggering an error when the line used for clipping the polygon was to
short. This is now fixed.
* Fixed logs being written to the last launched algorithm when running
multiple algorithms concurrently.

[0.1.0] - 2025-04-09

- First release
- Generated with the [QGIS Plugins
templater](https://oslandia.gitlab.io/qgis/template-qgis-plugin/)

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