Special Issue "Earth Observation (EO), Remote Sensing (RS), and Geoinformation (GI) Applications in Svalbard"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 31 December 2021.
Interests: high resolution remote sensing applications in polar regions; glacier facies mapping; polar vegetation mapping; Google Earth Engine; snow and ice remote sensing; glaciological image analysis
Interests: Earth Observation technology; glaciology; cryosphere remote sensing; geoinformatics
Interests: glaciology; mass balance and ice dynamics in Svalbar; firn aquifers and snow distribution
Interests: glaciology; climatology; remote sensing engineering
Interests: remote sensing of the cryosphere glacier and ice-sheet changes
Special Issues and Collections in MDPI journals
Interests: InSAR; glaciers; airborne data; drones; permafrost; Svalbard vegetation and growing season
Interests: remote sensing of polar areas; glaciology
Interests: Satellite cal/val; Earth Observation and remote sensing applications in Svalbard
Interests: Satellite cal/val; Sentinel-5p; Pandora; atmosphere remote sensing applications
Interests: snow cover spatial distribution; snow remote sensing; snow hydrology; glaciology; climatology
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Interests: remote sensing of cold regions
Interests: sea ice remote sensing; SAR; passive microwave radiometers
The Svalbard Integrated Arctic Earth Observing System (SIOS) is an international observing system for long-term in situ and remotely sensed measurements in and around Svalbard addressing Earth System Science (ESS) questions. SIOS research infrastructures (RI) are distributed all over Svalbard for collection of long-term in situ measurements. These in situ measurements are useful for various current and future satellite missions for calibration and validation (cal/val) activities. Eventually, integration of in situ and satellite-based measurements would benefit the entire ESS community to address broader scientific questions. Over the past three decades, tremendous developments in Earth Observation (EO) satellites have made significant contributions to the spatial–spectral–temporal sampling and subsequent extraction of geoinformation (GI) from the Arctic. Svalbard is probably the region in the Arctic with the most in situ measurements; still, there are massive gaps. Such data gaps can be filled using frequent satellite-based acquisitions, new product generation using remote sensing (RS), and integration of in situ data with satellite-based information. This Special Issue will provide a broad platform to various regional and Svalbard-wide studies that are being conducted using EO/RS/GI. For this Special Issue, we seek submissions focusing on:
- EO/RS/GI techniques relevant for field campaigns, modelling, and long-term monitoring programs;
- Optical (e.g., Sentinel-2-3), Microwave (e.g., scatterometers, SAR) and Lidar (e.g., ICESat) applications in Svalbard;
- Terrestrial, marine, atmospheric, and cryospheric applications of RS/EO/GI in Svalbard and associated waters;
- Remote sensing of the marine cryosphere and its interactions with ocean, land, and atmosphere;
- Ground-, space-, and airborne platform-based studies in Svalbard;
- Integration of remote sensing, in situ and previously published geoinformation to gain new knowledge about Svalbard;
- Cal/val activities for satellite missions that are being conducted in Svalbard, e.g., Pandora installation in Ny Ålesund, cal/val of snow parameters from satellite, cal/val activities using moorings;
- Machine learning, deep learning, neural networks and cloud computing (e.g., Google Earth Engine) based applications in Svalbard;
- Broader review papers on EO/RS/GI driven research activities in Svalbard (e.g., review on monitoring calving events in Svalbard);
- Svalbard wide GI extraction/product generation and operationalization using EO/RS;
- Derivation of geophysical and biophysical parameters using satellites (e.g., sea ice drift and type, chlorophyll concentration, phytoplankton blooms);
- Remote sensing applications in glaciological studies in Svalbard (geodetic mass balance, snow cover and snow properties, surface elevation changes, etc.;
- Remote sensing of sea ice, icebergs, snow/firn/ice, ground ice, snow on sea ice, avalanche activities, permafrost subsidence studies using InSAR
- Methods for characterizing the terrestrial vegetation, mapping abundance and extent, growing season, primary productivity, and time series analysis;
- Applications of new technologies such as AUVs, robots, drones, mapping using Surface from Motion, terrestrial LiDAR;
- Very high resolution (VHR) satellite remote sensing in Svalbard including applications using airborne imagery and hyperspectral data acquired by SIOS-NORCE research aircraft and drones;
- Relevant research studies supported by the SIOS-ACCESS, SIOS-SESS, and SIOS-InfraNor initiative.
We especially encourage contributors to provide access of data and products generated as a part of study via the SIOS data management system (SDMS).Dr. Shridhar D. Jawak
Prof. Dr. Veijo Pohjola
Prof. Dr. Andreas Kääb
Prof. Hiroyuki Enomoto
Dr. Geir Moholdt
Dr. Kjell Arild Høgda
Dr. Malgorzata Blaszczyk
Dr. Bo N. Andersen
Ms. Ann Mari Fjæraa
Dr. Bartłomiej Luks
Dr. Roberto Salzano
Dr. Frode Dinessen
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 papers will be 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 2200 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.
- research infrastructures
- new sensors
- geospatial product generation
- research aircraft
- arctic vegetation