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update readme
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markusmnzngr committed Mar 2, 2023
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -27,21 +27,21 @@ Our published research data for a case study area - city of Dresden (Germany) ca
* Gridded building roof heights can be used as supplementary data for the identification of roof points. A *PostgreSQL* script to [rasterize roofs heights](/src/postgresql/3DCityDB_rasterize_lod2_roof_heights.pgsql) for 3D city models stored in a [3D City Database](https://www.3dcitydb.org/3dcitydb/) is included in the repository.Information on how to set up the database and run the script is given in [this readme](/src/postgresql/readme_pgsql.md)

## Key Features
### Urban forest classification
### Urban Forest Classification

<img src="images/classification.jpg" height="400">

The classified point cloud and a canopy height model are generated as output.


### Individual crown parameterization
### Individual Crown Parameterization

<img src="images/parameterization.jpg" height="400">

Tree positions as point features and crown segments as polygon features are generated as output.


### 3D tree modeling
### 3D Tree Modeling

<img src="images/modeling.jpg" height="400">

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6 changes: 3 additions & 3 deletions data/readme_data.md
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# Input data
# Test Data

The supplied data for a small test area in Berlin is structured in 3 directories.

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[Tree Prototype](/data/tree_prototypes) contains 10 pre-defined tree prototypes.

All of them have height/width/depth of 1 m. In this way they can be scaled individually depending on specific parameters.
All of them are normalized to a height/width/depth of 1 m. In this way they can be scaled individually depending on specific parameters.
The prototypes differ in their ratio of crown height to trunk height. The variety ranges from only crown to almost exclusively trunk.

## License
## Data License
The supplied data was made freely available by the [“Geoportal Berlin”](https://fbinter.stadt-berlin.de/fb/index.jsp) under the license ["Data license Germany - attribution - Version 2.0"](https://www.govdata.de/dl-de/by-2-0) and can be downloaded at the following links:

* [LiDAR](https://fbinter.stadt-berlin.de/fb/berlin/service_intern.jsp?id=a_als@senstadt&type=FEED)
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4 changes: 2 additions & 2 deletions src/R/readme_rmd.md
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# Setting up Urban forest classification and individual crown parameterization
# Setting up the workflow fo urban forest classification and individual crown parameterization

The *R*-workflow for urban forest classification and individual crown parameterization is implemented as a standalone script containing the individual processing steps and generating output files for the results.

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* Run either the complete script or individual chunks of code
* The first chunk of codes checks if all required packages are installed
+ If the installation causes trouble, you might try a stepwise installation of the required packages
* The second chunk of code defines the input path
* The second chunk of code defines the input paths
+ By default, the paths point to the supplied [test data](/data/readme_data.md)
* The third chunk of code sets the workflow variables
+ Variables may need adjustment according to input LiDAR data specifications or the available multispectral image
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---
title: "Urban forest classification and individual crown parameterization"
author: "markusmnzngr"
date: "2023-02-17"
output: html_document
---


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