remotesensing-logo

Journal Browser

Journal Browser

Remote Sensing of Changing Northern High Latitude Ecosystems

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

Deadline for manuscript submissions: closed (30 June 2015) | Viewed by 221141

Special Issue Editors


E-Mail Website
Guest Editor
Climate Change Science Institute (CCSI) and Environmental Sciences Division, Oak Ridge National Laboratory, P.O. Box: 2008, MS 6301, Oak Ridge, TN 37831, USA
Interests: impacts of global change on high latitude terrestrial ecosystem structure and functions using remote sensing and geospatial techniques; scaling issues in ecology; carbon cycle science; environmental cyberinfrastructure
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Forest Resources, University of Maine, Orono, ME 04469, USA
Interests: ecological modelling; carbon cycle science; remote sensing; arctic system science
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Head of Periglacial Research Unit, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Telegrafenberg A43, 14473 Potsdam, Germany
Interests: Arctic terrestrial landscape dynamics; remote sensing of permafrost regions; permafrost thaw; permafrost geomorphology and hydrology
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
U.S. Geological Survey, Alaska Science Center, Anchorage, AK 99508, USA
Interests: multi-sensor remote sensing of arctic landscapes; combining ground-based and space-based observations; thermokarst and other thaw related landscape dynamics; arctic lakes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Northern high-latitude terrestrial and aquatic ecosystems are undergoing unprecedented change in structure and function as a result of rapid climate warming. The response is manifest in myriad ways, including the melting of ice and the thawing of permafrost, an increase in the frequency and severity of wildfire, as well as through changes in vegetation productivity, lake abundance and cover, runoff patterns, lake and river ice thickness and cover duration, and snow cover. Such changes have substantially altered energy, water and biogeochemical cycling in the region, which has important global-scale consequences for climate and society.
Scientists need to understand the indicators of these changes, and use existing and new technologies and methodologies to observe and monitor them. Remote sensing offers repeat observations of dynamic land surface properties from local to regional scales over multi-decadal time periods. Therefore, the changes occurring in the northern high latitude ecosystems can be characterized and quantified using remote sensing techniques based on information from various active and passive sensors on ground-, airborne- and satellite- based platforms. Remote sensing can also play a critical role for scaling field measurements to landscape and regional scales, parameterizing and evaluating models, and testing hypothesis of dynamic landscape processes in these vulnerable ecosystems.
Recognizing the sensitivity, vulnerability and global importance of these changes, there is a growing interest in studying northern high latitude ecosystems. The goal is to better understand and quantify changes and provide both the modeling community and decision-makers the necessary information to improve climate prediction and inform the development of policies for a sustainable future. Several high-profile national and international research activities, currently underway or in the planning stage (e.g. NGEE-Arctic, DUE Permafrost, ABoVE), focus in part on observing and monitoring rapid change in northern high latitude ecosystems using remote sensing tools and techniques
The special issue seeks to invite contributions from studies that focus on understanding the dynamic landscape processes in northern high latitude ecosystems using remote sensing information from multi-scale platforms, i.e. ground based, aircraft and various satellite platforms. Contributions that demonstrate the development of new techniques, data products and/or highlight the challenges of remote sensing in high latitudes are also encouraged.

Dr. Santonu Goswami
Dr. Daniel J. Hayes
Dr. Guido Grosse
Mr. Benjamin Jones
Guest Editors

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 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.

Keywords

  • high-latitude ecosystems
  • arctic and boreal
  • remote sensing
  • ecosystem modeling
  • terrestrial and aquatic ecosystems
  • disturbance
  • vegetation dynamics
  • phenology
  • permafrost
  • thaw lake
  • climate change
  • carbon cycle

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (22 papers)

Order results
Result details
Select all
Export citation of selected articles as:
19 pages, 6170 KiB  
Article
Examination of Surface Temperature Modification by Open-Top Chambers along Moisture and Latitudinal Gradients in Arctic Alaska Using Thermal Infrared Photography
Remote Sens. 2016, 8(1), 54; https://doi.org/10.3390/rs8010054 - 11 Jan 2016
17 pages, 4134 KiB  
Article
Differentiating among Four Arctic Tundra Plant Communities at Ivotuk, Alaska Using Field Spectroscopy
Remote Sens. 2016, 8(1), 51; https://doi.org/10.3390/rs8010051 - 8 Jan 2016
21 pages, 5891 KiB  
Article
An Automated Approach for Mapping Persistent Ice and Snow Cover over High Latitude Regions
Remote Sens. 2016, 8(1), 16; https://doi.org/10.3390/rs8010016 - 25 Dec 2015
19 pages, 963 KiB  
Article
Reconstructing Turbidity in a Glacially Influenced Lake Using the Landsat TM and ETM+ Surface Reflectance Climate Data Record Archive, Lake Clark, Alaska
Remote Sens. 2015, 7(10), 13692-13710; https://doi.org/10.3390/rs71013692 - 20 Oct 2015
28 pages, 2483 KiB  
Article
Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study
Remote Sens. 2015, 7(10), 13664-13691; https://doi.org/10.3390/rs71013664 - 20 Oct 2015
25 pages, 11511 KiB  
Article
Deriving Snow Cover Metrics for Alaska from MODIS
Remote Sens. 2015, 7(10), 12961-12985; https://doi.org/10.3390/rs71012961 - 30 Sep 2015
23 pages, 1627 KiB  
Article
Spatial and Temporal Changes in Vegetation Phenology at Middle and High Latitudes of the Northern Hemisphere over the Past Three Decades
Remote Sens. 2015, 7(8), 10973-10995; https://doi.org/10.3390/rs70810973 - 24 Aug 2015
15 pages, 7554 KiB  
Article
Warming, Sheep and Volcanoes: Land Cover Changes in Iceland Evident in Satellite NDVI Trends
Remote Sens. 2015, 7(8), 9492-9506; https://doi.org/10.3390/rs70809492 - 24 Jul 2015
21 pages, 4267 KiB  
Article
Potential of C and X Band SAR for Shrub Growth Monitoring in Sub-Arctic Environments
Remote Sens. 2015, 7(7), 9410-9430; https://doi.org/10.3390/rs70709410 - 22 Jul 2015
25 pages, 59388 KiB  
Article
Remotely Sensed Active Layer Thickness (ReSALT) at Barrow, Alaska Using Interferometric Synthetic Aperture Radar
Remote Sens. 2015, 7(4), 3735-3759; https://doi.org/10.3390/rs70403735 - 27 Mar 2015
31 pages, 5256 KiB  
Article
Establishing a Baseline for Regional Scale Monitoring of Eelgrass (Zostera marina) Habitat on the Lower Alaska Peninsula
Remote Sens. 2014, 6(12), 12447-12477; https://doi.org/10.3390/rs61212447 - 10 Dec 2014
18 pages, 4227 KiB  
Article
Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and Airborne LiDAR
Remote Sens. 2014, 6(12), 12409-12426; https://doi.org/10.3390/rs61212409 - 10 Dec 2014
20 pages, 6515 KiB  
Article
A Simple Method for Retrieving Understory NDVI in Sparse Needleleaf Forests in Alaska Using MODIS BRDF Data
Remote Sens. 2014, 6(12), 11936-11955; https://doi.org/10.3390/rs61211936 - 1 Dec 2014
21 pages, 3767 KiB  
Article
Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 2. Classification
Remote Sens. 2014, 6(11), 11558-11578; https://doi.org/10.3390/rs61111558 - 20 Nov 2014
25 pages, 31263 KiB  
Article
Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization
Remote Sens. 2014, 6(11), 11533-11557; https://doi.org/10.3390/rs61111533 - 20 Nov 2014
19 pages, 3305 KiB  
Article
The Uncertainty of Plot-Scale Forest Height Estimates from Complementary Spaceborne Observations in the Taiga-Tundra Ecotone
Remote Sens. 2014, 6(10), 10070-10088; https://doi.org/10.3390/rs61010070 - 21 Oct 2014
24 pages, 5566 KiB  
Article
Spatio-Temporal Analysis of Gyres in Oriented Lakes on the Arctic Coastal Plain of Northern Alaska Based on Remotely Sensed Images
Remote Sens. 2014, 6(10), 9170-9193; https://doi.org/10.3390/rs6109170 - 26 Sep 2014
21 pages, 5463 KiB  
Article
Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions
Remote Sens. 2014, 6(9), 8718-8738; https://doi.org/10.3390/rs6098718 - 17 Sep 2014
29 pages, 27180 KiB  
Article
Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada
Remote Sens. 2014, 6(9), 8565-8593; https://doi.org/10.3390/rs6098565 - 11 Sep 2014
19 pages, 9682 KiB  
Article
Spatial and Temporal Variability in the Onset of the Growing Season on Svalbard, Arctic Norway — Measured by MODIS-NDVI Satellite Data
Remote Sens. 2014, 6(9), 8088-8106; https://doi.org/10.3390/rs6098088 - 27 Aug 2014
18 pages, 584 KiB  
Article
Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures
Remote Sens. 2014, 6(5), 4582-4599; https://doi.org/10.3390/rs6054582 - 21 May 2014
21 pages, 1842 KiB  
Article
Pan-Arctic Climate and Land Cover Trends Derived from Multi-Variate and Multi-Scale Analyses (1981–2012)
Remote Sens. 2014, 6(3), 2296-2316; https://doi.org/10.3390/rs6032296 - 12 Mar 2014
Back to TopTop