Reconstructing and identifying historic land use in northeastern United States using anthropogenic landforms and deep learning-Reference-Cited by-同舟云学术

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Reconstructing and identifying historic land use in northeastern United States using anthropogenic landforms and deep learning

Published:2023-12 Issue: Volume:161 Page:103121
ISSN:0143-6228
Container-title:Applied Geography
language:en
Short-container-title:Applied Geography

Author:

Suh Ji Won^ORCID,Ouimet William B.,Dow Samantha^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,General Environmental Science,Geography, Planning and Development,Forestry

Reference38 articles.

1. ASPRS accuracy standards for large-scale maps;Photogrammetric Engineering & Remote Sensing,1990

2. U.S. Selected federal census non-population schedules, 1860–1880; ancestry,2010

3. When computers dream of charcoal: Using deep learning, open tools, and open data to identify relict charcoal hearths in and around state game lands in Pennsylvania;Carter;Advances in Archaeological Practice,2021

4. Aerial surveys. Record group 089:011,1934

5. Changes in the land;Cronon,1983

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Archival Aerial Photographs of Africa: Present Potential and Imagining a Machine-Learning Future;History in Africa;2024-08-23

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