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SUMMARY:Historical Roofs as a Resource: Towards an automated roof cadastre
  for Lower Saxony’s heritage - Christoph Palmen\, Yasmin Loeper
DTSTART;TZID=Europe/Amsterdam:20240925T173000
DTEND;TZID=Europe/Amsterdam:20240925T180000
DTSTAMP:20261005T210002Z
UID:pretalx-spathum24-QJEF3B@pretalx.com
DESCRIPTION:Roofs strongly shape the image of our cities and settlements. 
 Historical roofs contribute to the value of numerous buildings as testimon
 ies to our culture and history. However\, it can be observed that historic
 al roof coverings and roof structures are subject to considerable change a
 nd are often lost during renovations or conversions. Currently\, Germany
 ’s heritage protection laws are being revised so that solar roofs can la
 rgely be approved on listed buildings\, and\, in addition\, cities and mun
 icipalities are about to revoke or change their preservation statutes as w
 ell. It can be assumed that the use of roofs for energy generation through
  photovoltaic (PV) and solar thermal systems will be an essential factor i
 n the change of listed buildings in the future. This represents a major ch
 allenge for the heritage and requires extensive knowledge of the building'
 s roofing materiality\, construction and cultural significance. Therefore
 \, a central database with information about all roofs of listed buildings
  would be of great interest to assess and oversee future developments. The
  question arises as to how the roofs can be systematically researched and 
 analysed\, especially within large inventories.\n\nThe Lower Saxony State 
 Office for Monument Preservation (NLD) is leading an interdisciplinary res
 earch project with the Institute for Geodesy and Photogrammetry at the Tec
 hnical University of Braunschweig (IGP) to develop a monument roof cadastr
 e for Lower Saxony. The suitability of monument roofs for solar systems wi
 ll be the focus of the project. The goal is to develop an ArcGIS-based too
 l that analyses and evaluates roofs\, not only based on their solar potent
 ial but also on their roof material\, geometry and visibility.\n\nThe appl
 ication will be used for an expanded solar cadastre\, which will include q
 ualified heritage data for the first time. The map will provide informatio
 n on the impact of PV and solar thermal systems on listed roofs and inform
 s which roof areas are less suitable for solar panels. Finally\, the resul
 ts will be integrated into Lower Saxony's geographic information systems a
 nd made publicly accessible through publication in the online monument atl
 as of Lower Saxony. This roof cadastre will benefit local preservation aut
 horities and those involved in planning. The qualified data allows a bette
 r planning of solar systems\, since the visibility and optical limitation 
 of the monument value can be clarified in advance. The research also allow
 s for the identification of historical material on non-listed objects. Fin
 ally\, the roof cadastre provides information about the distribution of ro
 ofing materials. This creates insights into the historical development. In
  addition\, the data can provide information about the longevity of certai
 n roofing materials. The results associated with the project shall not onl
 y improve the handling of the objects in practice but also contribute to a
  greater knowledge of the inventory.\n\nModern geographic information tech
 nology is key to the project. Analysis methods of geoinformatics and crite
 ria from monument preservation and construction history are combined. A 5.
 6 km² study area in the city centre of Hanover was selected for the devel
 opment of a prototype of the roof cadastre. It contains various building t
 ypes from different epochs with different roof shapes and materials. The s
 tudy area is shown in Figure 1. The data basis for the study area was prov
 ided by the Lower Saxony State Office for Geoinformation and State Surveyi
 ng (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 a
 l. (2023).\n\nThe roof cadastre is the overall result of several analysis 
 processes. The analysis processes are divided into several automated work 
 packages (Figure 2). Each process results in either a new data set or gene
 rates the parameter values relating to a roof area. The final process comb
 ines all these parameters into the overall result.\n\nAs shown in Figure 2
 \, the first step is to calculate and evaluate the solar potential of the 
 listed buildings. For this step\, various existing approaches were tested 
 and compared (e.g. Nelson\, 2020\; Agugiaro\, 2012\; Fu\, 2000). The 3D bu
 ilding models and the DSM were used as input data. The result is a new dat
 a set of listed buildings with high solar potential.\n\nThe second step\, 
 as shown in Figure 2\, is a detailed roof analysis. The detailed roof anal
 ysis consists of the visibility analysis\, the analysis of the constructio
 n features and the classification of the roof material. For the visibility
  analysis\, existing approaches such as that of Wissim et al. (2011) are u
 sed. Only the roofs selected in the first step are analysed in terms of th
 eir visibility from public areas. The public areas were defined by the LGL
 N and provided as a layer. As a result\, each selected roof receives a par
 ameter value for its visibility.\n\nFor the classification of roof materia
 ls\, a deep learning model is trained with labelled image data. The traini
 ng dataset contains 13 different roof coverings. The approach of Wyard et 
 al. (2023) is also being tested\, in which spectral information of the roo
 fing material is used in addition to the image data. For this purpose\, th
 e spectral library for building materials in Karlsruhe\, Germany\, named K
 LUM is used (Ilehag\, 2019).\n\nSo the project deals with georeferenced re
 presentation\, analysis of material\, geometry and visibility of monument 
 roofs. This leads to interdisciplinary collaboration between geoinformatic
 s and heritage preservation. Through this approach the information inheren
 t in aerial photographs\, laser scan data and 3-D models can be analysed w
 ith regard to the values of listed buildings and converted into maps helpf
 ul to the requirements of heritage preservation.\n\nReferences (see sepera
 te file attached)
LOCATION:MG2 01.10
URL:https://pretalx.com/spathum24/talk/QJEF3B/
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