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Application of Landscape Metrics and Object-Oriented Remote Sensing to Detect the Spatial Arrangement of Agricultural Land Cover

Application of Landscape Metrics and Object-Oriented Remote Sensing to Detect the Spatial Arrangement of Agricultural Land

Quaestiones Geographicae
Volume 41 (2022): Issue 1 (March 2022)
By: ,   and    
Open Access
|Mar 2022
Authors

Authors

Rezvan Safdary

rezvan.safdary@yahoo.com

Department of Environment, Faculty of Natural resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran

Alireza Soffianian

Department of Environmental Sciences, Faculty of Natural Resources, Isfahan University of Technology, Isfahan, Iran

Saeid Pourmanafi

Department of Environmental Sciences, Faculty of Natural Resources, Isfahan University of Technology, Isfahan, Iran
DOI: https://doi.org/10.2478/quageo-2022-0002 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103 (formerly 0137-477X)
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Language: English
Page range: 25 - 35
Submitted on: Jul 12, 2021
Published on: Mar 31, 2022
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
Keywords:
crop type,
segmentation,
landscape metrics,
Iran
Related subjects:
Geosciences,
Geography

© 2022 Rezvan Safdary, Alireza Soffianian, Saeid Pourmanafi, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 41 (2022): Issue 1 (March 2022)
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