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Geospatial Monitoring of Urban Green Infrastructure

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 1008

Special Issue Editors

Department of Natural Sciences, Manchester Metropolitan University, Manchester M1 5GD, UK
Interests: green infrastructure; urban ecosystems; ecosystem services; climate change adaptation; GIS and remote sensing

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Guest Editor
School of Environment, Education & Development, University of Manchester, Manchester M13 9PL, UK
Interests: green infrastructure; spatial ecology; social–ecological systems; nature conservation; GIS and remote sensing

Special Issue Information

Dear Colleagues,

Green Infrastructure (GI) has emerged in recent decades as a promising physical and conceptual bridge linking the ecological, social and economic benefits afforded by the natural environment to people. In a rapidly urbanising and warming world, the green infrastructure of our towns and cities (urban GI) provides potential routes to resilience for urban social–ecological systems and the well-being of their inhabitants. Yet, accurate, detailed monitoring and appropriate characterisations of urban green infrastructure remain both a technical and conceptual challenge for research on urban ecosystems and the services upon which they rely.  

We invite researchers to submit articles describing new methods, findings and insights for a Special Issue on Geospatial Monitoring of Urban Green Infrastructure. Manuscripts can be based on research and monitoring of urban green infrastructure using various platforms (drone, airborne or satellite), sensors (LIDAR, RADAR, spectral, digital image aggregations) and terrestrial imagery, as well as ground truth data.

We especially welcome the following: (1) studies combining both remotely sensed information and ground based observations—how can these be integrated?; (2) investigations combining different scales of information, bridging the gap from field to landscape studies; (3) examination of fragmentation and ecological networks; (4) studies focused on monitoring—how can we distinguish and quantify changes in structural attributes of GI (e.g., height, type, cover, texture, spatial arrangement)?; and (5) research on urban green infrastructure functions and services.

Dr. Gina Cavan
Dr. Matthew Dennis
Prof. Dr. Dagmar Haase
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.


  • green infrastructure
  • blue infrastructure
  • urban ecosystems
  • landscape ecology

Published Papers

There is no accepted submissions to this special issue at this moment.
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