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Special Issue "State-of-the-Art Remote Sensing in North America 2023–2024"

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 15 February 2024 | Viewed by 121

Special Issue Editors

Department of Geography, University of Toronto Mississauga, 3359 Mississauga Road, Mississauga, ON L5L 1C6, Canada
Interests: ecosystem modeling; plant biophysical and biochemical traits in relation to environmental and anthropogenic driving factors
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Department of Geography, The Ohio State University, Columbus, OH 43210, USA
Interests: remote sensing; spatial statistics; giscience; land cover change
School of the Environment, University of Windsor, 401 Sunset Ave., Windsor, ON N9B 3P4, Canada
Interests: hyperspectral; unmanned aerial vehicles (UAV); belowground carbon; root exudates; ecological modelling; agricultural systems
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Forest Biometrics and Remote Sensing Lab (Silva Lab), School of Forest, Fisheriers and Geomatics Science, University of Florida, P.O. Box 110410, Gainesville, FL 32611, USA
Interests: lidar remote sensing (ALS, TLS, UAV-lidar, GEDI); tropical forest structure and ecology; industrial forest plantations; algorithms and tools development; data integration and change detection
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Dr. Ying Zhang
E-Mail Website
Guest Editor
Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, ON K1S 5K2, Canada
Interests: optical remote sensing technology development and EO-based spatial analysis for applications related to urban and mining development
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Special Issue Information

Dear Colleagues,

Over the past decade, the field of remote sensing has undergone intensive development and transformation, playing a crucial role in addressing key environmental research questions pertinent to North America.

This Special Issue builds on the success of the previous “State-of-the-Art Remote Sensing in North America 2019” and it aims to present recent advances in airborne and spaceborne remote sensing for detecting shifts in land use patterns and tracking changes from the frozen expanses of the Arctic to the sprawling urban centers. Articles that focus on data fusion from multiple sensors, geospatial data and multiple platforms (airborne data combined with satellite imagery), newly available airborne datasets (e.g., HYTES, PHyTIR, AVIRIS-NG, Lidar) or the potential for novel time series analyses and their application are particularly encouraged.

Prof. Dr. Yuhong He
Dr. Magaly Koch
Prof. Dr. Desheng Liu
Dr. Cameron Proctor
Dr. Carlos Alberto Silva
Dr. Ying Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • airborne and spaceborne
  • remote sensing
  • land use and land cover
  • geomorphology
  • data fusion and multiple sensors
  • geospatial data
  • satellite imagery
  • time series analyses
  • cloud computing
  • deep learning

Published Papers

This special issue is now open for submission.
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