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

References

• Almås, R. and Campbell, H., eds., 2012. Rethinking agricultural policy regimes: food security, climate change and the future resilience of global agriculture. Bingley, UK: Emerald Publishing.
   Google Scholar
• Bayr, U. and Puschmann, O., 2019. Automatic detection of woody vegetation in repeat landscape photographs using a convolutional neural network. Ecological Informatics, 50, 220–233. doi:https://doi.org/10.1016/j.ecoinf.2019.01.012
   Web of Science ®Google Scholar
• 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.
   Google Scholar
• Bozzini, C., Conedera, M., and Krebs, P., 2012. A new monoplotting tool to extract georeferenced vector data and orthorectified raster data from oblique non-metric photographs. International Journal of Heritage in the Digital Era, 1 (3), 499–518. doi:https://doi.org/10.1260/2047-4970.1.3.499
   Google Scholar
• Bühler, Y., et al., 2019. Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps. The Cryosphere, 13 (12), 3225–3238. doi:https://doi.org/10.5194/tc-13-3225-2019
   Web of Science ®Google Scholar
• Clark, P.E. and Hardegree, S.P., 2005. Quantifying vegetation change by point sampling landscape photography time series. Rangeland Ecology and Management, 58 (6), 588–597. doi:https://doi.org/10.2458/azu_rangelands_v58i6_hardegree
   Web of Science ®Google Scholar
• Conedara, M., et al., 2018. Using the Monoplotting Technique for Documenting and Analyzing Natural Hazard Events. Natural Hazards, 64 (3), 1969–1975. doi:https://doi.org/10.5772/intechopen.77321
   Google Scholar
• Dramstad, W.E., et al., 2002. Development and implementation of the Norwegian monitoring programme for agricultural landscapes. Journal of Environmental Management, 64 (1), 49–63. doi:https://doi.org/10.1006/jema.2001.0503
   PubMed Web of Science ®Google Scholar
• Fortin, J.A., et al., 2018. Estimates of landscape composition from terrestrial oblique photographs suggest homogenization of Rocky Mountain landscapes over the last century. Remote Sensing in Ecology and Conservation, 5 (3), 224–236. doi:https://doi.org/10.1002/rse2.100
   Web of Science ®Google Scholar
• Frankl, A., et al., 2011. Linking long-term gully and river channel dynamics to environmental change using repeat photography (Northern Ethiopia). Geomorphology, 129 (3–4), 238–251. doi:https://doi.org/10.1016/j.geomorph.2011.02.018
   Web of Science ®Google Scholar
• Gabellieri, N. and Watkins, C., 2019. Measuring long-term landscape change using historical photographs and the WSL Monoplotting Tool. Landscape History, 40 (1), 93–109. doi:https://doi.org/10.1080/01433768.2019.1600946
   Google Scholar
• Ghosh, S.K., 2005. Fundamentals of computational photogrammetry. New Delhi: Concept Publishing Company.
   Google Scholar
• Gimmi, U., et al., 2016. Assessing accuracy of forest cover information on historical maps. Prace Geograficzne, 146, 7–18. doi:https://doi.org/10.4467/20833113PG.16.014.5544
   Google Scholar
• Gindraux, S., Boesch, R., and Farinotti, D., 2017. Accuracy assessment of digital surface models from unmanned aerial vehicles’ imagery on glaciers. Remote Sensing, 9 (2), 186. doi:https://doi.org/10.3390/rs9020186
   Web of Science ®Google Scholar
• Hall, F.C. 2001. Ground-based photographic monitoring. General Technical Report. PNW-GTR-503. Portland: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. doi:https://doi.org/10.2737/PNW-GTR-503
   Google Scholar
• Hansen, M.D., 2012. Luftfotografiets vej til succes [The success of aerial photography]. Magasin fra Det Kongelige Bibliotek, 25 (4), 32–38. Available from: https://tidsskrift.dk/magasin/article/view/66747.
   Google Scholar
• Hastings, J.R. and Turner, R.M., 1965. The changing mile. Tucson: University of Arizona Press.
   Google Scholar
• Hendrick, L.E. and Copenheaver, C.A., 2009. Using repeat landscape photography to assess vegetation changes in rural communities of the Southern Appalachian Mountains in Virginia, USA. Mountain Research and Development, 29 (1), 21–29. doi:https://doi.org/10.1659/mrd.1028
   Web of Science ®Google Scholar
• Herrero, H.V., et al., 2017. Using repeat photography to observe vegetation change over time in Gorongosa national park. African Studies Quarterly, 17 (2), 65–82. Available from: http://www.africa.ufl.edu/asq/v17/v17i2a4.pdf
   Google Scholar
• Hughes, M.L., McDowell, P.F., and Marcus, A., 2006. Accuracy assessment of georectified aerial photographs: implications for measuring lateral channel movement in a GIS. Geomorphology, 74 (1–4), 1–16. doi:https://doi.org/10.1016/j.geomorph.2005.07.001
   Web of Science ®Google Scholar
• James, L.A., et al., 2012. Geomorphic change detection using historic maps and DEM differencing: the temporal dimension of geospatial analysis. Geomorphology, 137 (1), 181–198. doi:https://doi.org/10.1016/j.geomorph.2010.10.039
   Web of Science ®Google Scholar
• Jordal, J.B. and Bratli, H. 2009. Skjøtsel og overvåking av biologisk verdifullt kulturlandskap i Grøvudalen, Sunndal [Management and monitoring of biologically valuable cultural landscapes in Grøvudalen, Sunndal]. Sunndal kommune og Sunndal beitelag, Report no. 1. Available from: http://www.jbjordal.no/publikasjoner/Grovudalen_Skjotsel_2009.pdf
   Google Scholar
• Kaim, D., 2017. Land cover changes in the polish Carpathians repeat photography. Carpathian Journal of Earth and Environmental Sciences, 12, 485–498.
   Web of Science ®Google Scholar
• Klett, M., Manchester, E., and Verburg, J., 1984. Second view: the rephotographic survey project. Albuquerque: University of New Mexico Press.
   Google Scholar
• Kolecka, N., et al., 2015. Mapping secondary forest succession on abandoned agricultural land with LiDAR point clouds and terrestrial photography. Remote Sensing, 7 (7), 8300–8322. doi:https://doi.org/10.3390/rs70708300
   Google Scholar
• Kull, C.A., 2005. Historical landscape repeat photography as a tool for land use change research. Norsk Geografisk Tidsskrift - Norwegian Journal of Geography, 59 (4), 253–268. doi:https://doi.org/10.1080/00291950500375443
   Google Scholar
• Manier, D.J. and Laven, R.D., 2002. Changes in landscape patterns associated with the persistence of aspen (Populus tremuloides Michx.) on the western slope of the Rocky Mountains, Colorado. Forest Ecology and Management, 167 (1–3), 263–284. doi:https://doi.org/10.1016/S0378-1127(01)00702-2
   Web of Science ®Google Scholar
• Masubelele, M.L., Hoffman, M.T., and Bond, W.J., 2015. A repeat photography analysis of long‐term vegetation change in semi‐arid South Africa in response to land use and climate. Vegetation Science, 26 (5), 1013–1023. doi:https://doi.org/10.1111/jvs.12303
   Web of Science ®Google Scholar
• McCaffrey, D.R. and Hopkinson, C., 2017. Assessing fractional cover in the Alpine treeline ecotone using the WSL monoplotting tool and airborne lidar. Canadian Journal of Remote Sensing, 43 (5), 504–512. doi:https://doi.org/10.1080/07038992.2017.1384309
   Web of Science ®Google Scholar
• McCaffrey, D.R. and Hopkinson, C., 2020. Repeat oblique photography shows terrain and fire-exposure controls on century-scale canopy cover change in the Alpine treeline ecotone. Remote Sensing, 12. doi:https://doi.org/10.3390/rs12101569
   Google Scholar
• Michel, P., Mathieu, R., and Mark, A.F., 2010. Spatial analysis of oblique photo-point images for quantifying spatio-temporal changes in plant communities. Applied Vegetation Science, 13 (2), 173–182. doi:https://doi.org/10.1111/j.1654-109X.2009.01059.x
   Web of Science ®Google Scholar
• Mogstad, L., 1964. Oversyn over fjellbeite i Møre og Romsdal [Overview of mountain pastures in Møre og Romsdal county]. Norske fjellbeite Vol. 10. Oslo: Det kgl. selskap for Norges vel.
   Google Scholar
• Ode, Å., Tveit, M.S., and Fry, G., 2010. Advantages of using different data sources in assessment of landscape change and its effect on visual scale. Ecological Indicators, 10 (1), 24–31. doi:https://doi.org/10.1016/j.ecolind.2009.02.013
   Web of Science ®Google Scholar
• Oniga, V.E., Breaban, A.I., and Statescu, F., 2018. Determining the optimum number of ground control points for obtaining high precision results based on UAS images. Proceedings, 2 (7), 352. doi:https://doi.org/10.3390/ecrs-2-05165
   Google Scholar
• Pickard, J., 2002. Assessing vegetation change over a century using repeat photography. Australian Journal of Botany, 50 (4), 409–414. doi:https://doi.org/10.1071/BT01053
   Web of Science ®Google Scholar
• Puschmann, O., Dramstad, W.E., and Hoel, R., 2006. Tilbakeblikk: norske landskap i endring. [Flashback: Norwegian landscapes in retrospect]. Oslo: Tun Forlag.
   Google Scholar
• Roush, W., Munroe, J.S., and Fagre, D.B., 2007. Development of a spatial analysis method using ground-based repeat photography to detect changes in the alpine treeline ecotone, Glacier National Park, Montana, USA. Arctic, Antarctic, and Alpine Research, 39 (2), 297–308. doi:https://doi.org/10.1657/1523-0430(2007)39[297:DOASAM]2.0.CO;2
   Web of Science ®Google Scholar
• Sanseverino, M.E., Whitney, M.J., and Higgs, E.S., 2016. Exploring landscape change in mountain environments with the mountain legacy online image analysis toolkit. Mountain Research and Development, 36 (4), 407–416. doi:https://doi.org/10.1659/mrd-journal-d-16-00038.1
   Web of Science ®Google Scholar
• Scapozza, C., et al., 2014. Assessing the rock glacier kinematics on three different timescales: a case study from the southern Swiss Alps. Earth Surface Processes and Landforms, 39 (15), 2056–2069. doi:https://doi.org/10.1002/esp.3599
   Web of Science ®Google Scholar
• Stoate, C., et al., 2009. Ecological impacts of early 21st century agricultural change in Europe – A review. Journal of Environmental Management, 91 (1), 22–46. doi:https://doi.org/10.1016/j.jenvman.2009.07.005
   PubMed Web of Science ®Google Scholar
• Stockdale, C.A., et al., 2015. Extracting ecological information from oblique angle terrestrial landscape photographs: performance evaluation of the WSL Monoplotting Tool. Applied Geography, 63, 315–325. doi:https://doi.org/10.1016/j.apgeog.2015.07.012
   Web of Science ®Google Scholar
• Stockdale, C.A., Macdonald, S.E., and Higgs, E., 2019. Forest closure and encroachment at the grassland interface: a century-scale analysis using oblique repeat photography. Ecosphere, 10 (6). doi:https://doi.org/10.1002/ecs2.2774
   Google Scholar
• Svenningsen, S.R., et al., 2015. Historical oblique aerial photographs as a powerful tool for communicating landscape changes. Land Use Policy, 43, 82–95. doi:https://doi.org/10.1016/j.landusepol.2014.10.021
   Web of Science ®Google Scholar
• Webb, R.H., Boyer, D.E., and Turner, R.M., eds., 2010. Repeat photography: methods and applications in the natural sciences. Washington: Island Press.
   Google Scholar
• Westoby, M.J., et al., 2012. Structure-from-Motion photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179, 300–314. doi:https://doi.org/10.1016/j.geomorph.2012.08.021
   Web of Science ®Google Scholar
• Wiesmann, S., et al. 2012. Reconstructing historic glacier states based on terrestrial oblique photographs. Proceedings of the AutoCarto International Symposium on Automated Cartography, Columbus, OH, USA.
   Google Scholar