A deep learning approach for automatic identification of ancient agricultural water harvesting systems-Reference-Cited by-同舟云学术

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A deep learning approach for automatic identification of ancient agricultural water harvesting systems

Published:2023-04 Issue: Volume:118 Page:103270
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Tiwari Arti^ORCID,Silver Micha^ORCID,Karnieli Arnon^ORCID

Funder

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference56 articles.

1. A comprehensive characterization of ancient desert agricultural systems in the Negev Highlands of Israel;Ashkenazi;J. Arid Environ.,2012

2. The structural and landscape evolution of the western Ramon;Avni;Isr. J. Earth Sci.,1993

3. Geomorphic changes leading to natural desertification versus anthropogenic land conservation in an arid environment, the Negev Highlands, Israel;Avni;Geomorphology,2006

4. A review of the rise and fall of ancient desert runoff agriculture in the Negev Highlands - a model for the southern Levant deserts;Avni;J. Arid Environ.,2019

5. Semantic segmentation (U-Net) of archaeological features in airborne laser scanning—example of the białowieża forest;Banasiak;Remote Sens.,2022

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