Landscape Feature Detection
Landscape Feature Detection is a methodological approach in aerial archaeology that identifies and analyzes subtle topographic and vegetative anomalies to reveal human-modified landscape features otherwise imperceptible through ground-based observation.
83
Publications
3.3K
Citations
264
Authors
167
Institutions
Publications per year
2017–2026
36
Parents
83
Landsat-Based Trend Analysis of Lake Dynamics across Northern Permafrost Regions
Ingmar Nitze, Guido Grosse, Benjamin Jones et al. · Remote Sensing · 2017 · 166 citations · Full text
Christopher Gomez, Yuichi S. Hayakawa, Hiroyuki Obanawa · Geomorphology · 2015 · 151 citations
Computing, Geography, Geoinformatics +17
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Pennsylvania State University
State College, United States
4 h-index
4 publications
151 citations

Ghent University
Ghent, Belgium
3 h-index
12 publications
275 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
73 citations
KU Leuven
Leuven, Belgium
2 h-index
4 publications
125 citations
Dartmouth College
Hanover, United States
2 h-index
4 publications
116 citations
Binghamton University
Binghamton, United States
2 h-index
5 publications
302 citations

University of British Columbia
Vancouver, Canada
2 h-index
3 publications
100 citations
Department of Archaeology
Colombo, Sri Lanka
2 h-index
4 publications
285 citations
1–8 of 167
7 publications · 293 citations
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5 publications · 271 citations
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4 publications · 104 citations
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4 publications · 259 citations
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3 publications · 301 citations
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