Special Issue "Recent Developments in Remote Sensing for Physical Geography"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 8002
Interests: global snow cover trends; mid and high latitude cryospheric processes; remote sensing of snow and ice; arctic and mountain ecosystems
Interests: computational movement analysis, machine learning for remote sensing, biogeography, carbon capture and storage, and GIScience
Interests: remote sensing; vegetation productivity; rangeland management; biodiversity conservation
Special Issues, Collections and Topics in MDPI journals
Interests: vegetation phenology, flood detection, land use land cover change at the wetland/dryland interface, savanna ecology
Remote sensing is a linchpin in physical geography, affording us the ability to observe changes in our landscape across both time and space. Fortunately, as the diversity of remote sensing platforms and data continues to increase, our computational capacity is also increasing, allowing for an exciting evolution of novel ways to use and interpret remote sensing data in physical geography. We are pleased to announce a Special Issue of Remote Sensing on ‘New Remote Sensing Developments and Applications in Physical Geography’ highlighted at the 2019 American Association of Geographers Annual Meeting. We invite submissions of papers that will be/were presented at the 2019 AAG Annual Meeting with a focus on, but not limited to, the following topics:
-The use of emerging multi-source and multi-scale remote sensing techniques to improve the retrieval of environmental properties and land surface parameters.
-Long-term monitoring of dynamic environmental change (i.e. climatology, snow cover, habitat, lentic and lotic systems, and vegetation) from microwave and/or optical sensors.
-Impacts of spatial and temporal resolution on the identification of ecosystem processes from physical landscape patterns
-Use of cloud computing and machine learning techniques to advance the analysis of large remote sensing datasets as well as more critical analyses of these methods.
-Novel applications of remotely-sensed data products in geophysical or biophysical systems modeling
Dr. Caleb Pan
Mr. Brendan Hoover
Dr. Nathaniel Robinson
Ms. Amelia Eisenhart
Pan C G, Kirchner P, Kimball J S, Kim Y and Du J 2018 Rain-on-snow events in Alaska, and their frequency and distribution from satellite observations Environ. Res. Lett.
Robinson N P, Allred B W, Jones M O, Moreno A, Kimball J S, Naugle D E, Erickson T A and Richardson A D 2017 A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI ) Product for the Conterminous United States Remote Sens. 9 1–14
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com 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 2500 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.
- Physical geography
- Multi-scalar imaging techniques
- Environmental change
- Land surface parameters