PickShift: A user-friendly Python tool to assess the surficial uncertainties associated with polygons extracted from historical planimetric data

Author:

Jautzy TimothéeORCID,Freys Pierrick,Chardon Valentin,Wenger Romain,Rixhon Gilles,Schmitt Laurent,Herrault Pierre-Alexis

Publisher

Elsevier BV

Reference32 articles.

1. A survey of digital map processing techniques;Chiang;ACM Comput Surv,2014

2. Remote sensing for historical ecology;Herrault,2022

3. Using transition matrices to assess the spatio-temporal land cover and ecotone changes in fluvial landscapes from historical planimetric data;Chardon;Earth Surf Process Landf,2022

4. Spatio-temporal dynamics of forest ecosystems revealed by the LiDAR-based characterization of medieval field systems (Vosges Mountains, France);Keller;Anthropocene,2023

5. Automatic extraction of forests from historical maps based on unsupervised classification in the CIELab color space;Herrault,2013

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