Landscape Temporal Modelling
Landscape Temporal Modelling is a computational framework within Historic Landscape Characterization that systematically represents and analyzes the evolution of landscape features over time by integrating spatiotemporal data and historical records to reconstruct past landscape states and project future or hypothetical configurations.
15
Publications
1.2K
Citations
63
Authors
31
Institutions
Publications per year
2017–2026
4
15
1–5 of 15
63
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NOAA National Marine Fisheries Service Northwest Fisheries Science Center, United States
1 publications · 49 citations
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1–5 of 63
31

US Forest Service
Washington, United States
3 h-index
2 publications
102 citations
Michigan Technological University
Houghton, United States
2 h-index
5 publications
286 citations
Northern Research Station
Madison, United States
1 h-index
2 publications
1.1K citations
University of Lausanne
Lausanne, Switzerland
1 h-index
1 publications
23 citations
Leiden University
Leiden, The Netherlands
1 h-index
1 publications
15 citations

University of Georgia
Athens, United States
1 h-index
3 publications
66 citations
Virginia Tech
Blacksburg, United States
1 h-index
1 publications
22 citations
Universidad Nacional Autónoma de México
Mexico City, Mexico
1 h-index
3 publications
126 citations
1–8 of 31
1 publications · 42 citations
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1 publications · 525 citations
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1 publications · 46 citations
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JCHMSD · 1 publications · 23 citations
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1 publications · 23 citations
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