Stories.md

@@ -62,7 +62,7 @@ Discussion of these topics strengthened the focus for the last year of the proje
 
 # **Module test with THW Heidelberg: Mission planning module and automatic damage classification module**
 In the last project year, one major focus is on the demonstration and evaluation of the LOKI framework together with end users.
-In this context, THW Heidelberg tested the modules of [UAV mission planning](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Project-Results:-UAV-Mission-Planning) and [automatic damage classification](../project_results/automatic_damage_clf.html) modules, as part of the [LOKI framework](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/LOKI-Framework). Following a live demo of the two modules, we jointly discussed current functionalities and how the modules might be integrated in workflows of THW Heidelberg.
+In this context, THW Heidelberg tested the modules of [UAV mission planning](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Project-Results:-UAV-Mission-Planning) and [automatic damage classification](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Automatic-3D-Damage-Classification) modules, as part of the [LOKI framework](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/LOKI-Framework). Following a live demo of the two modules, we jointly discussed current functionalities and how the modules might be integrated in workflows of THW Heidelberg.
 We also collected valuable feedback on how to further improve the modules so they meet requirements of THW in case of an earthquake event.
 
 Furthermore, we presented the [modular structure](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/LOKI-Framework) of the LOKI framework, which allows using modules as stand-alone applications and [combining them](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Framework-interfaces) for a specific use case.
@@ -147,7 +147,7 @@ Moreover, ASB Mannheim was among the first relief organizations in germany with
 <img src="https://git.gfz-potsdam.de/loki/loki_wiki/-/raw/main/wiki/docs/stories/media/asb1.jpg" alt="LOKI System" width="900">
 <img src="https://git.gfz-potsdam.de/loki/loki_wiki/-/raw/main/wiki/docs/stories/media/asb4.jpg" alt="LOKI System" width="900">
 
-Major topics that were discussed:
+__Major topics that were discussed:__
 <ul><li>Current role and challenges for deployment of UAVs in emergency response</li><li>Potential improvements of current situation though information provided by LOKI framework</li><li>Temporal constraints for information obtained from LOKI framework</li><li>Integration of LOKI framework into existing workflows of emergency response</li></ul>
 
 __Outcomes of the workshops__ are included in the further development and iterative improvement of the LOKI [framework](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/LOKI-Framework). Moreover, stakeholders and LOKI partners agreed on a continuous exchange on the progress of the framework and to plan [joint tests and evaluations of the LOKI framework](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Framework-and-Module-Tests-and-Use-Cases), as soon as a first prototype will be available.
@@ -162,12 +162,11 @@ __Role of transdisciplinary research__: The scientific treatment of hazard respo
 
 # **3D data acquisition for developement and evaluation of automatic 3D damage classification**
 
-In on-site experiments and through collaborations with external partners we acquired 3D datasets and reference data for the development and evaluation of our tools for Machine Learning-based 3D damage classification:
+In on-site experiments and through collaborations with external partners we acquired 3D datasets and reference data for the development and evaluation of our tools for the module of [automatic 3D damage classification](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Automatic-3D-Damage-Classification):
 
-In this short video, one of the acquired sites (INF 288, Heidelberg) is shown. The video explains the basic concept of UAV-based classification of building damage in the LOKI project:
+In this short video, one of the acquired sites (demolition building in Heidelberg) is shown. The video explains the basic concept of UAV-based classification of building damage in the LOKI project:
 
 <iframe width="900" height="450" src="https://www.youtube.com/embed/_d8qYMEJUPg" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-All details on the datasets can be found [here](../project_results/automatic_damage_clf.html). 
 
 __Stay tuned - some of the datasets will be openly available soon!__
 
@@ -177,7 +176,7 @@ __Stay tuned - some of the datasets will be openly available soon!__
 [HELIOS++](https://www.geog.uni-heidelberg.de/gis/helios.html) is a general-purpose simulation software for virtual laser scanning data acquisition. Such data can be used to complement real data in many use cases. Some examples include the generation of training data for machine learning, especially deep learning, for the validation of algorithms working on point clouds, for acquisition parameter surveys or for experimentation with novel sensors.
 <img src="https://git.gfz-potsdam.de/loki/loki_wiki/-/raw/main/wiki/docs/stories/media/hpp.jpg" width="900">
 
-In LOKI we apply virtual laser scanning in HELIOS++ for the development of methods for automatic, Machine Learning-based [3D damage classification](../project_results/automatic_damage_clf.html). The simulated point clouds provide fit-for-purpose input for training and validation of the developed methods.
+In LOKI we apply virtual laser scanning in HELIOS++ for the development of methods for automatic, Machine Learning-based [3D damage classification](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Automatic-3D-Damage-Classification). The simulated point clouds provide fit-for-purpose input for training and validation of the developed methods.
 <br><br>
 <img src="\project_results\media\HELIOSpp_LOKI.png" alt=\"damage_clf\" width="900">
 The __modern implementation in C++__ as well as the possibility to use __Python bindings__ allows a much faster simulation of complex scenes and the __integration of HELIOS++ into existing workflows__ (e.g. of the LOKI framework).
@@ -201,7 +200,7 @@ __Key features of the method:__
 
 <img src="https://git.gfz-potsdam.de/loki/loki_wiki/-/raw/main/wiki/docs/stories/media/cd-pb-m3c2.jpg" alt=\"damage_clf\" width="900">
 
-In LOKI we investigate how this method can be applied as part of the module for [automatic 3D damage classification](../project_results/automatic_damage_clf.html) of buildings.
+In LOKI we investigate how this method can be applied as part of the module for [automatic 3D damage classification](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Automatic-3D-Damage-Classification) of buildings.
 
 __Find all details in the full paper:__
 > Zahs, V., Winiwarter, L., Anders, K., Williams, J.G., Rutzinger, M. & Höfle, B. (2022): [Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification.](https://www.sciencedirect.com/science/article/abs/pii/S0924271621003166) ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 183, pp. 541-559. doi: 10.1016/j.isprsjprs.2021.11.018.
@@ -217,15 +216,14 @@ In December 2021, projects of the funding priority "early detection of earthquak
 # **Annual LOKI project meeting 2021**
 In the second annual LOKI project meeting in February 2021, project partners focused on the following main topics:
 
-* Change is quantified between homologous planar surfaces of successive 3D point clouds
-* Discuss and evaluate the current development status of the modules of the LOKI framework
-* Coordination at the interfaces of the project partners 
+* Discuss and evaluate the current development status of the [modules of the LOKI framework](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/LOKI-Framework)
+* Coordination at the [interfaces of the modules](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Framework-interfaces)
 * Create a common basis for the further development of the LOKI framework
-* Agreement on important next steps for joint collaboration
+* Agreement on important next steps for the joint collaboration
 
 ***
 # **Completeness Mapping**
-The completeness mapping tool enables to assess the completeness of OSM building footprints. It is already tested and validated via a dataset provided by experts. It is included as a project into the [Map Swipe App](https://mapswipe.org/en/index.html). 
+As part of the [crowdsourcing tool](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Project-Results:-Crowdsourcing), the completeness mapping tool enables to assess the completeness of OSM building footprints. It is already tested and validated via a dataset provided by experts. It is included as a project into the [Map Swipe App](https://mapswipe.org/en/index.html). 
 Colleagues from [GIScience](https://www.geog.uni-heidelberg.de/gis/index.html) and [3DGeo](https://www.geog.uni-heidelberg.de/3dgeo/index.html) research groups and [HeiGIT](https://heigit.org/) tested the tool and evaluated the completeness during a mapping event in September 2020. The study sides were Medellin (Colombia), Siros (Greece), Tokyo (Japan) and Taipeh (Taiwan). Information about this event was also shared on the [GIScience News Blog](http://k1z.blog.uni-heidelberg.de/2020/09/16/osm-completeness-mapping-for-airborne-situation-assessment-following-an-earthquake/).
 
 Areas which reveal an incomplete mapping of building footprints can be priorities in future mapping events. 
@@ -237,7 +235,7 @@ The related publication is currently available as pre-print:
 
 ***
 # **LOKI Kick-off Meeting 2020**
-In February 2020 the kick-off meeting for the LOKI project was hosted by the GIScience and 3DGeo research groups of Heidelberg University.
-The meeting allowed the exchange of methods and expected results of the subprojects and project partners and the definition of their contribution to the overall project. Moreover, interfaces between work packages (data, software, methodology etc.) and project partners were jointly elaborated.
+In February 2020 the kick-off meeting for the LOKI project was hosted by Heidelberg University (project coordinator).
+The meeting allowed the exchange of methods and expected results of the subprojects and [project partners](https://git.gfz-potsdam.de/loki/loki_wiki/-/wikis/Consortium-and-Cooperation-Partners) and the definition of their contribution to the overall project. Moreover, interfaces between work packages (data, software, methodology etc.) and project partners were jointly elaborated.
 
 <img src="https://git.gfz-potsdam.de/loki/loki_wiki/-/raw/main/wiki/docs/stories/media/group_kickoff.jpg" alt="damage_clf" width="900">