Exploring the Potential of Integrated Cadastral and Building Data for Evaluation of Remote-Sensing based Multi-Temporal Built-up Land Layers
An increasing amount of multi-temporal land use and built-up land datasets will be made available in the near future. However, little research has been done regarding the spatiotemporal uncertainty of these datasets. Publicly available cadastral parcel data including temporal information about construction dates of structures may be a useful source of reference data for spatiotemporal accuracy assessment, especially when parcel records are integrated with building footprints to create a spatially refined reference dataset. In this work we discuss the suitability of such an approach for establishing protocols for future spatiotemporal validation of multi-temporal built-up land data, exemplified by the novel Global Human Settlement Layer (GHSL), which assesses human presence on the planet on a global scale based on automatic classification of multi-temporal remote sensing data for a temporal extent from 1975 to 2014
UHL Johannes H.;
LEYK Stefan;
FLORCZYK Aneta;
PESARESI Martino;
BALK Deborah;
2016-11-30
Cartography and Geographic Information Society (CaGIS)
JRC103400
http://geo.gmu.edu/AutoCarto2016/Uhl_Leyk_Florczyk_Pesaresi_and_Balk.pdf,
https://publications.jrc.ec.europa.eu/repository/handle/JRC103400,
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