Journal of Applied Remote Sensing

Editor-in-Chief: Ni-Bin Chang, University of Central Florida

The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous other commercial and scientific applications. 

Calls for Papers
How to Submit to a Special Section

To submit a manuscript for consideration in a special section, please prepare the manuscript according to the journal guidelines and use the Online Submission SystemLeaving site. A cover letter indicating that the submission is intended for this special section should be included with the paper. Papers will be peer‐reviewed in accordance with the journal's established policies and procedures. Authors have the choice to publish with open access.

Remote Sensing Assessment of Invasive Species Dynamics under Policy and Climate Change Impacts
Publication Date
Special section papers are published as soon as the copyedited and typeset proofs are approved by the author.
Submission Deadline
Manuscripts due 1 March 2018
Guest Editors
Dong Yan

South Dakota State University
Geospatial Sciences Center of Excellence
1021 Medary Avenue
Wecota Hall 220, Box 506B
Brookings, South Dakota 57007, United States
E-mail: dong.yan@sdstate.edu

E. Raymond Hunt, Jr.

USDA-ARS Hydrology and Remote Sensing Laboratory
Building 007, Room 104, BARC-West
Beltsville, Maryland 20705-2350, United States
E-mail: Raymond.Hunt@ars.usda.gov

Maria J. Ferreira dos Santos

Utrecht University
Faculty of Geosciences
Copernicus Institute of Sustainable Development, Environmental Sciences Group
Heidelberglaan 2, 3584 CS Utrecht, Room 1101B
P.O. Box 80115, 3508 TC
Utrecht, The Netherlands
E-mail: M.J.FerreiraDosSantos@uu.nl

Scope

The environmental and economic consequences of biological invasions are a global concern. Invasive species can have profound influences on resident ecosystems by causing changes in fundamental ecosystem properties such as nutrient cycling, species composition, and fire regime. Changes in management policies and climate can affect those consequences by imposing different impacts on invasive and native species simultaneously. Understanding the geomorphological, environmental, and ecological factors governing species distributions and population growth of invasive species may offer novel insights into the colonization dynamics and spread of invasive taxa in response to policy and climate changes. Facing these research needs, this special section aims to present recent advances regarding the approaches and applications of using remotely sensed data and image processing technologies to facilitate complex feature extractions and to address the population dynamics of invasive species driven by policy and climate changes. The open access to multidecadal remote sensing products derived from Earth-observation missions such as the USGS Landsat and the NASA Moderate-Resolution Imaging Spectroradiometer (MODIS) provide the opportunity to further support modeling the responses of invasive species to policy and climate changes, the results of which can help predict the dynamics of invasive species under future policies and climate change scenarios. The synergistic use of high-quality remotely sensed datasets covering a wide range of spectral, spatial, and temporal resolutions will further deepen the knowledge regarding the impacts of policy and climate changes on invasive species control.

The Journal of Applied Remote Sensing will publish a special section focusing on the remote sensing assessment of invasive species dynamics under policy and climate change impacts. We invite you to make submissions related to novel approaches and applications of investigating how invasive species respond to policy and climate changes, and the associated impacts. The topics of interest may include, but are not limited to, the following:

Novel approaches to characterize invasive species dynamics:

  • Change detection using fused multisource remote sensing data, solar-induced fluorescence, thermal infrared, microwave, and lidar data
  • Multiscale and multifaceted monitoring using webcam images and eddy covariance measurements

Novel remote sensing applications to assess the responses and consequences of invasive species dynamics:

  • Examination of how the dynamics of invasive species affect fire regime and carbon storage due to changes in policy or climate
  • Investigation of how invasive species respond to vegetation conservation programs or urbanizations
  • Exploration of how invasive species respond to extreme weather events such as droughts and floods
  • Synergistic integration between socioeconomic data and remotely sensed data for systems analysis with sociotechnical approaches

To submit a manuscript for consideration, please prepare the manuscript according to the journal guidelines and submit the paper via the online submission system (https://jars.msubmit.net). A cover letter indicating that the submission is intended for this special section should be included with the paper. Papers will be peer reviewed in accordance with the journal's established policies and procedures. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks of manuscript submission. Special sections are opened online once a minimum of four papers have been accepted. Each paper is published as soon as the copyedited and typeset proofs are approved by the author.

Invasive species
Recent Advances in Earth Observation Technologies for Agrometeorology and Agroclimatology
Publication Date
Special section papers are published as soon as the copyedited and typeset proofs are approved by the author.
Submission Deadline
Manuscripts due 31 January 2018
Guest Editors
Shi-bo Fang

Institute of Ecology and Agrometeorology
Chinese Academy of Meteorological Sciences
No. 46, Zhongguancun South Street, Beijing, 100081, China
E-mail: Fangshibo@camscma.cn

George P. Petropoulos

Aberystwyth University
Department of Geography and Earth Sciences
Llandinam Building, Room H4
Aberystwyth, Ceredigion
SY23 3DB, Wales, United Kingdom
E-mail: george.petropoulos@aber.ac.uk

Davide Cammarano

The James Hutton Institute
Invergowrie
Dundee DD2 5DA
Scotland, United Kingdom
E-mail: davide.cammarano@hutton.ac.uk

Scope

There is global recognition of the need to rapidly develop new technology-led solutions to secure global food security whilst minimizing the impact of agricultural practices on the environment. This need reflects significant and known increases in global population combined with the complexity of the pressures caused by global climate change. Crops are sensitive to changes in temperature, carbon cycle, and extreme weather patterns. But more information is needed to further investigate the effect of different climate parameters. The regular and timely earth observation methods for monitoring crop health conditions, crop growth, and the effects of climate variability on food production at local, regional, or global scale are vital in the food and water nexus. Remote sensing has shown a great potential to provide valuable large-scale information in a timely manner regarding the extent, status, and agricultural land management at various spatial and temporal scales. This special section focuses on the use of remote sensing tools, methods, platforms, and models for agrometeorological and agroclimatological applications in connection to climate change impacts and management policy. We invite contributions related to novel approaches and applications of investigating how crop/grass fields respond to agrometeorology factors and climate changes, and the associated solutions using contemporary technologies such as remote sensing and process models.

In addition, this special section welcomes contributions that present recent advances regarding the approaches and applications of using remotely sensed data and image processing technologies to reflect the crops' response to different meteorological disasters (such as drought, flooding, frost, chilling, extreme hot or cold weather, etc.) to address the crops' growth condition or phenology dynamics driven by meteorological disaster and climate changes. Contributions aiming at exploring innovative earth observation-based methods to quantitatively analyze the meteorological disaster and climate change effects on crop yields or production are also welcome. In addition, papers investigating earth observation-based application in crop yield estimates, water resources modeling, soil moisture retrieval, agricultural land-use change monitoring, crop rotations, and yield predictions are also appropriate. Consequently, topics of interest to the special section of applied remote sensing may include, but are not limited to the following areas:

Novel approaches to characterize the factors embedded in dynamics of agrometeorology and agroclimatology

  • Crop or grassland use change detection using multisource remote sensing data, thermal infrared, microwave, and SAR or InSAR data
  • Multiscale and multisensor source and data fusion for monitoring crop growth and stress
  • Effects of extreme weather and extreme agrometeorology/meteorology disaster (drought, water logging, flood, heat waves, chill, etc.)/other natural disasters on crop yield and health
  • Multitemporal remote sensing for monitoring crop growth and stress
  • Quantifying the changes in vegetation dynamics due to the changes in climate or policy

Novel remote sensing applications to retrieve soil moisture or assess the drought/water logging effects on crop growth and health dynamics

  • Examination and validation of different approaches in retrieving soil moisture or assessing the drought condition using multisource remote sensing data
  • Novel methods to retrieve soil moisture and other key parameters characterizing land surface interactions (e.g., surface temperature, evapotranspiration, air temperature)
  • Exploration of the methods or technology of how crop species respond to extreme weather events such as droughts and floods, and early warning systems
  • Synergistic integration between socioeconomic data and remotely sensed data for risk assessment and management of meteorological/agrometeorological disaster
  • Remote sensing for crop/grass pests and diseases; earth observation-assisted digital soil mapping
  • Remote sensing for crop/grass evapotranspiration under regular and special meteorological conditions.

To submit a manuscript for consideration in the special section, please prepare the manuscript according to the journal guidelines  and submit the paper via the online submission system (https://jars.msubmit.net). A cover letter indicating that the submission is intended for this special section should be included with the paper. Papers will be peer reviewed in accordance with the journal's established policies and procedures. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks of manuscript submission. Special sections are opened online once a minimum of four papers have been accepted. Each paper is published as soon as the copyedited and typeset proofs are approved by the author. Please contact the guest editors if you have any questions about this special section.

Agroclimatology
Optics in Atmospheric Propagation and Adaptive Systems
Publication Date
Special section papers are published as soon as the copyedited and typeset proofs are approved by the author.
Submission Deadline
Manuscripts due 1 February 2018
Guest Editors
Karin U. Stein

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation - IOSB
Department Signatorics
Ettlingen, Germany
E-mail: karin.stein@iosb.fraunhofer.de

Szymon Gladysz

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation - IOSB
Department Signatorics
Ettlingen, Germany
E-mail: szymon.gladysz@iosb.fraunhofer.de

Christian Eisele

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation - IOSB
Department Signatorics
Ettlingen, Germany
E-mail: christian.eisele@iosb.fraunhofer.de

Vladimir P. Lukin

VE Zuev Institute of Atmospheric Optics
Tomsk, Russia
E-mail: lukin@iao.ru

Scope

The use of sensors for active and passive remote sensing of the Earth and its atmosphere, for free-space laser communication, and for high-resolution imaging of ground-based and airborne objects are fields of growing interest for both civilian and military applications. Many applications ask for space-to-ground (e.g. remote sensing satellites) or ground-to-space (e.g. astronomical telescopes) imaging systems with ever-improving spectral and/or spatial resolution, working in spectral regions from the UV to radar.

All of these systems have in common that their performance is often not limited by system design, but by effects caused by the long propagation of the signal through the atmosphere, which acts as an absorbing, scattering, and radiating random medium. A thorough understanding of these effects is needed for an accurate analysis of installed system performance and the correct interpretation of measurement results. System performance may be improved by the implementation of modern methods allowing for the reduction of effects associated with signal propagation. These include sophisticated algorithms and compensative hardware, making the system adaptive to changing conditions. A profound knowledge of the relevant atmospheric parameters at different locations is needed for the development of these adaptive systems and has to be obtained from measurements. The Journal of Applied Remote Sensing (JARS) will publish a special section on optics in atmospheric propagation and adaptive systems. The scope includes, but is not limited to:

  • Characterization of the environment: profiles of temperature, humidity, extinction, refractivity, radiance (also non-LTE), optical turbulence, updates of transmission and radiance codes, atmospheric refraction, atmospheric turbulence, VIS and IR backgrounds, and statistics of propagation parameters.
  • Propagation and imaging through turbulent media: meteorological models, the strong turbulence regime, laser beam propagation, laser speckle effects, scattering and multiple scattering effects; aero-optic and jet plume effects, correction methods for atmospheric effects, compensation for anisoplanatism and scintillation; laser beam projection on an extended target, target-in-the-loop propagation, and compensation in atmospheric turbulence.
  • Techniques and devices for measurement and/or mitigation of atmospheric effects on systems: adaptive optics, deconvolution, sensor fusion, post processing etc; multiconjugate adaptive optics, compensated imaging systems, novel optical components such as liquid crystal and MEMS devices, wavefront sensors, high-frame rate, and low-noise infrared detectors.
  • Laser-based sensing and laser communication: laser beam focusing, sensing, and free-space communication, system and atmospheric simulations, hardware configurations, communications theory issues, bandwidth limits, multiplexing issues, adaptive optics use for increased performance, atmospheric modelling, and laser speckle and other noise sources, and loss of coherence for active (laser) systems.

This call for papers is open to everyone, and participants in the Optics in Atmospheric Propagation and Adaptive Systems at Remote Sensing in Warsaw, Poland, are invited to submit results presented at the conference. Our website contains information about our publication policy concerning proceedings submissions to a journal.

Both application and theoretical papers are welcome. To submit to this special section, prepare the paper according to JARS guidelines and submit via the online submission system (https://jars.msubmit.net). A cover letter indicating that the submission is intended for this special section should be included. Papers will be peer reviewed in accordance with the journal's established policies and procedures. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks of manuscript submission. Special sections are opened online once a minimum of four papers have been accepted. Each paper is published as soon as the copyedited and typeset proofs are approved by the author.

Atmospheric propagation
Advances in Agro-Hydrological Remote Sensing for Water Resources Conservation
Publication Date
Special section papers are published as soon as the copyedited and typeset proofs are approved by the author.
Submission Deadline
Manuscripts due 1 April 2018
Guest Editors
Antonino Maltese

University of Palermo
Department of Civil Engineering, Environmental, Aerospace, of Materials
Italy
E-mail: antonino.maltese@unipa.it 

Christopher M. U. Neale

University of Nebraska
Robert B. Daugherty Water for Food Global Institute
Lincoln, Nebraska, United States
E-mail: cneale@nebraska.edu

Scope

Remote sensing technology has enhanced our ability to monitor and manage our agriculture, ecosystems, and water resources over time and space.  However, in spite of significant progress in recent years, there are still many areas where the potential of remote sensing has not been fully realized, and these are areas of ongoing research. Of unique importance are those efforts that are focused on gaining a better understanding of what sensors are actually measuring, as well as new applications and inverse modelling techniques to retrieve hydrologic and vegetation parameters.

The Journal of Applied Remote Sensing (JARS) will publish a special section on "Agro-Hydrological Sciences" to bring together research in this area. Both application and theoretical papers related to agro-hydrological sciences are welcome. Review papers are also welcome for state-of-the-art research covering problems, progress, and prospects in key areas of earth observations (EO) from global to basin to plot scales, by assessing the advances and identifying the needs in physical modelling for improving our knowledge of water resource, food security, and ecosystems processes. Please contact the guest editors for approval prior to writing a review paper.  

Papers related (but not limited) to the following agro-hydrological sciences topics are solicited:   

  • agro-hydrological modelling
  • sensors for monitoring in hydrology and water resources
  • data assimilation in agriculture and hydrology
  • satellite-based rainfall estimation and modelling (e.g., meteorological RADAR)
  • soil water content, precipitation, snow, and ice hydrology
  • water resource management
  • drought monitoring, analysis, and prediction
  • radar applications in agro-hydrology (e.g., soil moisture and flooding)
  • lidar applications in agro-hydrology
  • water quality
  • evapotranspiration, energy balance (EB) modelling at different scale and validation (eddy covariance, scintillometry etc.)
  • smarter solutions for farmers based on IT, cloud computing, mobile technology, GPS
  • precision farming applications
  • crop yield modelling
  • food production, energy, and water nexus
  • open data for agriculture and food production
  • water securing for food
  • disease detection in agriculture
  • UAV and airborne platforms.  

This call for papers is open to everyone, and participants in the Remote Sensing for Agriculture, Ecosystems, and Hydrology conference at Remote Sensing in Warsaw, Poland, are invited to submit results presented at the conference. Our website contains information about our publication policy concerning proceedings submissions to a journal.

Both application and theoretical papers are welcome. To submit to this special section, prepare the paper according to JARS guidelines and submit via the online submission system (https://jars.msubmit.net). A cover letter indicating that the submission is intended for this special section should be included. Papers will be peer reviewed in accordance with the journal's established policies and procedures. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks of manuscript submission. Special sections are opened online once a minimum of four papers have been accepted. Each paper is published as soon as the copyedited and typeset proofs are approved by the author.

Water Resources Conservation
Advances in Remote Sensing for Air Quality Management
Publication Date
Special section papers are published as soon as the copyedited and typeset proofs are approved by the author.
Submission Deadline
Manuscripts due 1 April 2018
Guest Editors
Barry Gross

City University of New York
160 Convent Avenue
New York, New York, United States
E-mail: gross@ccny.cuny.edu

Klaus Schäfer

Atmospheric Physics Consultant
Garmisch-Partenkirchen, Germany
E-mail: schaefer@atmosphericphysics.de

Philippe Keckhut

Institute Pierre Simon Laplace (IPSL)
Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
Guyancourt, France
E-mail: Philippe.Keckhut@latmos.ipsl.fr

Scope

With the continued increase of urbanization around the globe, the emission and transport of a wide range of gases and aerosol particulates continues to pose significant potential health risks. To better understand and mitigate the air-quality risks using informed scientifically based protocols, we need to further continue to improve our observational and analysis capabilities to identify and quantify these atmospheric components and their sources. In order to provide a comprehensive survey of existing capabilities and potential improvements using remote sensing, this special section of the Journal of Applied Remote Sensing seeks to collect and organize papers addressing the latest state of the art in air quality monitoring and assessment from a diverse set of instrumental platforms and technologies including satellite sensors as well as ground-based and air-borne active and passive remote sensors. Studies using multiple instruments and platforms which improve interpretation of pollution mechanisms are of special interest.

Suggested topics may include but are not limited to:

  • Observational and algorithmic approaches to quantifying pollutant gases including nitrogen dioxide (NO2), sulfur dioxide (SO2), ammonia (NH3), carbon monoxide (CO), methane (CH4), carbon dioxide (CO2), ozone (O3) etc.
  • Retrieval of aerosol optical properties including aerosol optical depth (AOD), angstrom exponent (AE), albedo and particle modes, and the use of these products to better quantify PM2.5 and/or PM10 levels
  • Use of integrated remote sensing tools to better constrain and improve current atmospheric pollution modeling methodologies
  • Assimilation of air quality remote sensing retrieval products and profiles into existing operational meteorological chemical transport models
  • Innovative use of GIS and and/or machine learning tools like source apportionment to better integrate remote sensing data for a better understanding of pollution sources, transport mechanisms, and potential health effects
  • Improved tracking and quantification of both natural and anthropogenic pollutant plumes
  • Reports and assessments of next-generation air pollution sensors such as TEMPO (Tropospheric Emissions: Monitoring of Pollution), TROPOMI (TROPOspheric Monitoring Instrument) and IASI-NG (Infrared Atmospheric Sounding Interferometer Next Generation)
  • Characterization of temporal and spatial air pollution trends and coupling at local, regional, and global scales
  • Novel sensor designs and applications
  • Regional studies in stressed environments.

To submit a manuscript for consideration, please prepare the manuscript according to the journal guidelines and submit the paper via the online submission system (https://jars.msubmit.net). A cover letter indicating that the submission is intended for this special section should be included with the paper. Papers will be peer reviewed in accordance with the journal's established policies and procedures. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks of manuscript submission. Special sections are opened online once a minimum of four papers have been accepted. Each paper is published as soon as the copyedited and typeset proofs are approved by the author.

Air Quality
Previously Published Special Sections

Recent Advances in Geophysical Sensing of the Ocean: Remote and In Situ Methods (July-September 2017)
Guest Editors: Weilin Hou and Robert Arnone

Remote Sensing for Investigating the Coupled Biogeophysical and Biogeochemical Process of Harmful Algal Blooms (January-March 2017)
Guest Editors: Alan Weidemann and Ni-Bin Chang

Sparsity-Driven High Dimensional Remote Sensing Image Processing and Analysis (October-December 2016)
Guest Editors: Xin Huang, Paolo Gamba, and Bormin Huang

Advances in Remote Sensing for Renewable Energy Development: Challenges and Perspectives (2015)
Guest Editors: Yuyu Zhou, Lalit Kumar, and Warren Mabee

Onboard Compression and Processing for Space Data Systems (2015)
Guest Editors: Enrico Magli and Raffaele Vitulli

Management and Analytics of Remotely Sensed Big Data (2015)
Guest Editors: Liangpei Zhang, Qian (Jenny) Du, and Mihai Datcu

Remote Sensing and Sensor Networks for Promoting Agro-Geoinformatics (2014 and 2015)
Guest Editors: Liping Di and Zhengwei Yang

High-Performance Computing in Applied Remote Sensing: Part 3 (2014)
Guest Editors: Bormin Huang, Jiaji Wu, and Yang-Lang Chang

Airborne Hyperspectral Remote Sensing of Urban Environments (2014)
Guest Editors: Qian (Jenny) Du and Paolo Gamba

Progress in Snow Remote Sensing (2014)
Guest Editors: Hongjie Xie, Chunlin Huang, and Tiangang Liang

Advances in Infrared Remote Sensing and Instrumentation (2014)
Guest Editors: Marija Strojnik and Gonzalo Paez

Earth Observation for Global Environmental Change (2014)
Guest Editor: Huadong Guo

Advances in Onboard Payload Data Compression (2013)
Guest Editors: Enrico Magli and Raffaele Vitulli

Advances in Remote Sensing Applications for Locust Habitat Monitoring and Management (2013)
Guest Editors: Ramesh Sivanpillai and Alexandre V. Latchininsky

High-Performance Computing in Applied Remote Sensing: Part 2 (2012)
Guest Editors: Bormin Huang and Antonio Plaza

Advances in Remote Sensing for Monitoring Global Environmental Changes (2012)
Guest Editors: Yuyu Zhou, Qihao Weng, Ni-Bin Chang

High-Performance Computing in Applied Remote Sensing: Part 1 (2011)
Guest Editors: Bormin Huang and Antonio Plaza

Satellite Data Compression (2010)
Guest Editor: Bormin Huang

Remote Sensing for Coupled Natural Systems and Built Environments (2010)
Guest Editor: Ni-Bin Chang

Remote Sensing Applications to Wildland Fire Research in the Eastern United States: Selected Papers from the 2007 EastFIRE Conference - Part 2 (2009)
Guest Editors: John J. Qu and Stephen D. Ambrose

Remote Sensing of the Wenchuan Earthquake (2009)
Guest Editor: Huadong Guo

Remote Sensing Applications to Wildland Fire Research in the Eastern United States: Selected Papers from the 2007 EastFIRE Conference (2008)
Guest Editors: John J. Qu and Stephen D. Ambrose

Aquatic Remote Sensing Applications in Environmental Monitoring and Management (2007)
Guest Editors: Vittorio E. Brando and Stuart Phinn

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