From 6ddad2c8566122c104ec9688fe8d75c9df262492 Mon Sep 17 00:00:00 2001 From: "jean-matthieu.monnet" <jean-matthieu.monnet@inrae.fr> Date: Mon, 22 Mar 2021 09:21:44 +0100 Subject: [PATCH] Changed licence CC-By to GPLv3 --- README.md | 11 +++++++++++ area-based.1.data.preparation.Rmd | 2 +- area-based.2.model.calibration.Rmd | 2 +- coregistration.Rmd | 2 +- forest.structure.metrics.Rmd | 2 +- gaps.edges.detection.Rmd | 2 +- tree.detection.Rmd | 2 +- 7 files changed, 17 insertions(+), 6 deletions(-) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..dcd0b1f --- /dev/null +++ b/README.md @@ -0,0 +1,11 @@ +# `lidaRtRee` tutorials + +`lidaRtRee_tutorials` is a repository that provides tutorials for forest analysis with airborne laser scanning (ALS or lidar remote sensing) data, using functions from `R` packages [lidR](https://github.com/Jean-Romain/lidR/) (also available on [CRAN](https://cran.r-project.org/web/packages/lidR/index.html)) and [lidaRtRee](https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee). Tutorials are available as `Rmarkdown`, `html` and `pdf` files. Datasets useful for code running are also provided. + +# Available tutorials + +- [tree detection and segmentation](Tree-segmentation), +- [field plot co-registration with ALS data](Field-plot-coregistration-with-ALS-data), +- [forest structure metrics mapping](Forest-structure-metrics-mapping), +- [forest gaps and edges detection](Forest-gaps-and-edges-detection), +- [area-based approach for forest parameters estimation and mapping](Area-based-approach). \ No newline at end of file diff --git a/area-based.1.data.preparation.Rmd b/area-based.1.data.preparation.Rmd index 36fc58c..7981a67 100644 --- a/area-based.1.data.preparation.Rmd +++ b/area-based.1.data.preparation.Rmd @@ -18,7 +18,7 @@ knitr::opts_chunk$set(fig.align = "center") The code below presents a workflow to prepare inventory data for the calibration of area-based models with airborne laser scanning data and field measurements. -Licence: CC-BY / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/area-based.1.data.preparation.Rmd) +Licence: GNU GPLv3 / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/area-based.1.data.preparation.Rmd) Required `R` libraries : `ggplot2`, `sf`, `ggmap` diff --git a/area-based.2.model.calibration.Rmd b/area-based.2.model.calibration.Rmd index b0543ba..3a7c290 100644 --- a/area-based.2.model.calibration.Rmd +++ b/area-based.2.model.calibration.Rmd @@ -19,7 +19,7 @@ knitr::opts_chunk$set(fig.align = "center") --- The code below presents a workflow to calibrate prediction models for the estimation of forest parameters from ALS-derived metrics, using the area-based approach (ABA). The workflow is based on functions from `R` packages `lidaRtRee` and `lidR`. -Licence: CC-BY / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/area-based.2.model.calibration.Rmd) +Licence: GNU GPLv3 / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/area-based.2.model.calibration.Rmd) # Load data diff --git a/coregistration.Rmd b/coregistration.Rmd index 9ef664e..019164f 100644 --- a/coregistration.Rmd +++ b/coregistration.Rmd @@ -20,7 +20,7 @@ knitr::opts_chunk$set(fig.align = "center") --- This workflow compares a canopy height model (CHM) derived from airborne laser scanning (ALS) data with tree positions inventoried in the field, and then proposes a translation in plot position for better matching. The method is described in @Monnet2014. Here it is exemplified with circular plots, but it can be applied to any shape of field plots. The workflow is based on functions from packages `lidaRtRee` and `lidR`. Example data were acquired in the forest of Lac des Rouges Truites (Jura, France). -Licence: CC BY / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/coregistration.Rmd) +Licence: GNU GPLv3 / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/coregistration.Rmd) ## Material diff --git a/forest.structure.metrics.Rmd b/forest.structure.metrics.Rmd index 3af8544..105d3fa 100644 --- a/forest.structure.metrics.Rmd +++ b/forest.structure.metrics.Rmd @@ -17,7 +17,7 @@ knitr::opts_chunk$set(fig.align = "center") ``` --- -Licence: CC-BY / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/forest.structure.metrics.Rmd) +Licence: GNU GPLv3 / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/forest.structure.metrics.Rmd) The R code below presents a forest structure metrics computation workflow from Airborne Laser Scanning (ALS) data. Workflow is based on functions from packages `lidaRtRee` and `lidR`, packages `vegan` and `foreach` are also required. Metrics are computed for each cell of a grid defined by a resolution. Those metrics are designed to describe the 3D structure of forest. Different types of metrics are computed: diff --git a/gaps.edges.detection.Rmd b/gaps.edges.detection.Rmd index ddbc06a..ad9cab0 100644 --- a/gaps.edges.detection.Rmd +++ b/gaps.edges.detection.Rmd @@ -19,7 +19,7 @@ knitr::opts_chunk$set(fig.align = "center") --- This tutorial presents R code for forest gaps and edges detection from Airborne Laser Scanning (ALS) data. The workflow is based on functions from packages `lidaRtRee` and `lidR`. -Licence: CC BY / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/gap.edges.detection.Rmd) +Licence: GNU GPLv3 / [Source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/gap.edges.detection.Rmd) ## Study area and ALS data diff --git a/tree.detection.Rmd b/tree.detection.Rmd index 5a9e7b3..19aee4c 100644 --- a/tree.detection.Rmd +++ b/tree.detection.Rmd @@ -30,7 +30,7 @@ The code below presents a tree segmentation workflow from Airborne Laser Scannin Steps 1 and 3 are documented in [@Monnet10; @Monnet11c]. The detection performance of this algorithm was evaluated in a benchmark [@Eysn15]. -Licence: CC-BY / [source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/tree.detection.Rmd) +Licence: GNU GPLv3 / [source page](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/tree.detection.Rmd) ## Material ### Field inventory -- GitLab