Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Creating a Dataset of Spatial Parameters of Ground-Mounted Photovoltaic Systems Utilising Orthophotos and the Segment Anything Model
by
Siegismund, Jan
, Albert, Johannes
, Klingner, Stephan
, Gärtner, Philipp
, Schymik, Chantal
, Wehner, Claudius
in
Alternative energy sources
/ Archives & records
/ Artificial intelligence
/ Batch processing
/ Datasets
/ Energy development
/ Energy resources
/ Energy transition
/ Ground cover
/ Orthophotography
/ Parameter identification
/ Parameters
/ Parks & recreation areas
/ Photovoltaic cells
/ Photovoltaics
/ Renewable energy
/ Renewable energy sources
/ Renewable resources
/ Segmentation
/ Spatial data
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Creating a Dataset of Spatial Parameters of Ground-Mounted Photovoltaic Systems Utilising Orthophotos and the Segment Anything Model
by
Siegismund, Jan
, Albert, Johannes
, Klingner, Stephan
, Gärtner, Philipp
, Schymik, Chantal
, Wehner, Claudius
in
Alternative energy sources
/ Archives & records
/ Artificial intelligence
/ Batch processing
/ Datasets
/ Energy development
/ Energy resources
/ Energy transition
/ Ground cover
/ Orthophotography
/ Parameter identification
/ Parameters
/ Parks & recreation areas
/ Photovoltaic cells
/ Photovoltaics
/ Renewable energy
/ Renewable energy sources
/ Renewable resources
/ Segmentation
/ Spatial data
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Creating a Dataset of Spatial Parameters of Ground-Mounted Photovoltaic Systems Utilising Orthophotos and the Segment Anything Model
by
Siegismund, Jan
, Albert, Johannes
, Klingner, Stephan
, Gärtner, Philipp
, Schymik, Chantal
, Wehner, Claudius
in
Alternative energy sources
/ Archives & records
/ Artificial intelligence
/ Batch processing
/ Datasets
/ Energy development
/ Energy resources
/ Energy transition
/ Ground cover
/ Orthophotography
/ Parameter identification
/ Parameters
/ Parks & recreation areas
/ Photovoltaic cells
/ Photovoltaics
/ Renewable energy
/ Renewable energy sources
/ Renewable resources
/ Segmentation
/ Spatial data
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Creating a Dataset of Spatial Parameters of Ground-Mounted Photovoltaic Systems Utilising Orthophotos and the Segment Anything Model
Journal Article
Creating a Dataset of Spatial Parameters of Ground-Mounted Photovoltaic Systems Utilising Orthophotos and the Segment Anything Model
2025
Request Book From Autostore
and Choose the Collection Method
Overview
The rapid expansion of renewable energy sources poses significant challenges in reconciling energy development with competing interests. This underscores the necessity for precise spatial data to facilitate effective balancing, management, or evaluation of compliance with regulatory frameworks. This paper presents a zero-shot approach for extracting parameters of ground-mounted photovoltaic systems in Germany based on digital orthophotos. This allows for the accurate identification and delineation of essential spatial parameters, including the ground coverage ratio of photovoltaic modules, the row spacing between module rows, and their exact orientation. The results of this study are twofold. First, the developed technical pipeline successfully achieves high-quality segmentation of photovoltaic module rows, with over 71 % of the results demonstrating satisfactory to flawless segmentation. Second, the resulting dataset is made available for further analysis and can serve as a starting point for the development of additional AI models aimed at monitoring the dynamics of photovoltaic systems.
Publisher
Copernicus GmbH,Copernicus Publications
Subject
/ Datasets
This website uses cookies to ensure you get the best experience on our website.