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UID:pretalx-spathum24-QJEF3B@pretalx.com
DTSTART;TZID=CET:20240925T173000
DTEND;TZID=CET:20240925T180000
DESCRIPTION:Roofs strongly shape the image of our cities and settlements. H
 istorical roofs contribute to the value of numerous buildings as testimoni
 es to our culture and history. However\, it can be observed that historica
 l roof coverings and roof structures are subject to considerable change an
 d are often lost during renovations or conversions. Currently\, Germany’
 s heritage protection laws are being revised so that solar roofs can large
 ly be approved on listed buildings\, and\, in addition\, cities and munici
 palities are about to revoke or change their preservation statutes as well
 . It can be assumed that the use of roofs for energy generation through ph
 otovoltaic (PV) and solar thermal systems will be an essential factor in t
 he change of listed buildings in the future. This represents a major chall
 enge for the heritage and requires extensive knowledge of the building's r
 oofing materiality\, construction and cultural significance. Therefore\, a
  central database with information about all roofs of listed buildings wou
 ld be of great interest to assess and oversee future developments. The que
 stion arises as to how the roofs can be systematically researched and anal
 ysed\, especially within large inventories.\n\nThe Lower Saxony State Offi
 ce for Monument Preservation (NLD) is leading an interdisciplinary researc
 h project with the Institute for Geodesy and Photogrammetry at the Technic
 al University of Braunschweig (IGP) to develop a monument roof cadastre fo
 r Lower Saxony. The suitability of monument roofs for solar systems will b
 e the focus of the project. The goal is to develop an ArcGIS-based tool th
 at analyses and evaluates roofs\, not only based on their solar potential 
 but also on their roof material\, geometry and visibility.\n\nThe applicat
 ion will be used for an expanded solar cadastre\, which will include quali
 fied heritage data for the first time. The map will provide information on
  the impact of PV and solar thermal systems on listed roofs and informs wh
 ich roof areas are less suitable for solar panels. Finally\, the results w
 ill be integrated into Lower Saxony's geographic information systems and m
 ade publicly accessible through publication in the online monument atlas o
 f Lower Saxony. This roof cadastre will benefit local preservation authori
 ties and those involved in planning. The qualified data allows a better pl
 anning of solar systems\, since the visibility and optical limitation of t
 he monument value can be clarified in advance. The research also allows fo
 r the identification of historical material on non-listed objects. Finally
 \, the roof cadastre provides information about the distribution of roofin
 g materials. This creates insights into the historical development. In add
 ition\, the data can provide information about the longevity of certain ro
 ofing materials. The results associated with the project shall not only im
 prove the handling of the objects in practice but also contribute to a gre
 ater knowledge of the inventory.\n\nModern geographic information technolo
 gy is key to the project. Analysis methods of geoinformatics and criteria 
 from monument preservation and construction history are combined. A 5.6 km
 ² study area in the city centre of Hanover was selected for the developme
 nt of a prototype of the roof cadastre. It contains various building types
  from different epochs with different roof shapes and materials. The study
  area is shown in Figure 1. The data basis for the study area was provided
  by the Lower Saxony State Office for Geoinformation and State Surveying (
 LGLN). It consists of 3D building models in LoD2\, TrueDOP\, DSM\, DTM and
  ALS data. The data basis is described in more detail in Wichmann et al. (
 2023).\n\nThe roof cadastre is the overall result of several analysis proc
 esses. The analysis processes are divided into several automated work pack
 ages (Figure 2). Each process results in either a new data set or generate
 s the parameter values relating to a roof area. The final process combines
  all these parameters into the overall result.\n\nAs shown in Figure 2\, t
 he first step is to calculate and evaluate the solar potential of the list
 ed buildings. For this step\, various existing approaches were tested and 
 compared (e.g. Nelson\, 2020\; Agugiaro\, 2012\; Fu\, 2000). The 3D buildi
 ng models and the DSM were used as input data. The result is a new data se
 t of listed buildings with high solar potential.\n\nThe second step\, as s
 hown in Figure 2\, is a detailed roof analysis. The detailed roof analysis
  consists of the visibility analysis\, the analysis of the construction fe
 atures and the classification of the roof material. For the visibility ana
 lysis\, existing approaches such as that of Wissim et al. (2011) are used.
  Only the roofs selected in the first step are analysed in terms of their 
 visibility from public areas. The public areas were defined by the LGLN an
 d provided as a layer. As a result\, each selected roof receives a paramet
 er value for its visibility.\n\nFor the classification of roof materials\,
  a deep learning model is trained with labelled image data. The training d
 ataset contains 13 different roof coverings. The approach of Wyard et al. 
 (2023) is also being tested\, in which spectral information of the roofing
  material is used in addition to the image data. For this purpose\, the sp
 ectral library for building materials in Karlsruhe\, Germany\, named KLUM 
 is used (Ilehag\, 2019).\n\nSo the project deals with georeferenced repres
 entation\, analysis of material\, geometry and visibility of monument roof
 s. This leads to interdisciplinary collaboration between geoinformatics an
 d heritage preservation. Through this approach the information inherent in
  aerial photographs\, laser scan data and 3-D models can be analysed with 
 regard to the values of listed buildings and converted into maps helpful t
 o the requirements of heritage preservation.\n\nReferences (see seperate f
 ile attached)
DTSTAMP:20260610T235620Z
LOCATION:MG2 01.10
SUMMARY:Historical Roofs as a Resource: Towards an automated roof cadastre 
 for Lower Saxony’s heritage - Christoph Palmen\, Yasmin Loeper
URL:https://pretalx.com/spathum24/talk/QJEF3B/
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