Quantifying historical landscape change with repeat photography: an accuracy assessment of geospatial data obtained through monoplotting-Reference-Cited by-同舟云学术

Quantifying historical landscape change with repeat photography: an accuracy assessment of geospatial data obtained through monoplotting

Published:2021-01-20 Issue:10 Volume:35 Page:2026-2046
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Bayr Ulrike¹^ORCID

Affiliation:

1. Department of Landscape Monitoring, Norwegian Institute of Bioeconomy Research (NIBIO), Division of Survey and Statistics, Ås, Norway

Funder

Norges Forskningsråd

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2021.1871910

Reference46 articles.

1. Rethinking Agricultural Policy Regimes

2. Automatic detection of woody vegetation in repeat landscape photographs using a convolutional neural network

3. Bozzini, C., Conedera, M., and Krebs, P., 2011. A new tool for obtaining cartographic georeferenced data from single oblique photos. In: K. Pavelka, ed. Proceedings of CIPA Symposium 23, 12–16 September 2011. Prague.

4. A New Monoplotting Tool to Extract Georeferenced Vector Data and Orthorectified Raster Data from Oblique Non-Metric Photographs

5. Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps

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