Special Issue "Remote Sensing of Changing Northern High Latitude Ecosystems"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 30 June 2015
Dr. Santonu Goswami
Climate Change Science Institute (CCSI) and Environmental Sciences Division, Oak Ridge National Laboratory, P.O. Box: 2008, MS 6301 Oak Ridge, TN 37831, USA
Phone: +865 241 1296
Fax: +865 241 9910
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
Dr. Daniel J. Hayes
Climate Change Science Institute (CCSI) and Environmental Sciences, Division Oak Ridge National Laboratory, P.O. Box: 2008, MS 6301 Oak Ridge, TN 37831, USA
Phone: +865 574 7322
Fax: +865 574 2232
Interests: carbon cycle science; impact of disturbance processes on ecosystem carbon dynamics; ecosystem modeling; remote sensing and geospatial analysis
Dr. Guido Grosse
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Telegrafenberg A45, 14473 Potsdam, Germany
Phone: +49 0331 288 2150
Interests: Arctic terrestrial landscape dynamics; Remote sensing of permafrost regions; Permafrost thaw; Permafrost geomorphology and hydrology; High latitude soil carbon dynamics GIS
Dr. Benjamin Jones
USGS Alaska Science Center, 4210 University Dr. Anchorage, AK 99508, USA
Phone: +907 786 7033
Fax: +907 786 7150
Interests: multi-sensor remote sensing of arctic landscapes; combining ground-based and space-based observations; thermokarst and other thaw related landscape dynamics; arctic lakes
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
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 monthly journal published by MDPI.
- high-latitude ecosystems
- arctic and boreal
- remote sensing
- ecosystem modeling
- terrestrial and aquatic ecosystems
- vegetation dynamics
- thaw lake
- climate change
- carbon cycle
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; doi:10.3390/rs6098088
Received: 1 April 2014; in revised form: 21 August 2014 / Accepted: 22 August 2014 / Published: 27 August 2014| PDF Full-text (9682 KB)
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; doi:10.3390/rs6054582
Received: 26 March 2014; in revised form: 12 May 2014 / Accepted: 13 May 2014 / Published: 21 May 2014| PDF Full-text (584 KB) | HTML Full-text | XML Full-text
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; doi:10.3390/rs6032296
Received: 22 November 2013; in revised form: 19 February 2014 / Accepted: 5 March 2014 / Published: 12 March 2014| PDF Full-text (1842 KB) | HTML Full-text | XML Full-text | Supplementary Files
Last update: 2 July 2014