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

Authors

264

  1. DS
    Dylan S. Davis

    Pennsylvania State University, United States

    4 publications · 148 citations

    4

    h-index

  2. JC
    Jesse Casana

    Dartmouth College, United States

    3 publications · 71 citations

    3

    h-index

  3. CP
    Carl P. Lipo

    California State University, Long Beach, United States

    3 publications · 130 citations

    3

    h-index

  4. MC
    Matthew C. Sanger

    Binghamton University, United States

    3 publications · 130 citations

    3

    h-index

  5. MM
    Madeleine McLeester

    Dartmouth College, United States

    2 publications · 58 citations

    2

    h-index

1–5 of 264

Venues

  1. Archaeological Prospection

    7 publications · 293 citations

    7

    h-index

  2. Landscape and Urban Planning

    5 publications · 271 citations

    5

    h-index

  3. International Journal of Remote Sensing

    4 publications · 104 citations

    4

    h-index

  4. Remote Sensing

    4 publications · 259 citations

    4

    h-index

  5. Journal of Archaeological Science

    3 publications · 301 citations

    3

    h-index

1–5