• Conference Proceedings
  • Journals
  • Journal of Applied Remote Sensing
    JARS Information for Authors
    Journal of Astronomical Telescopes, Instruments, and Systems
    Journal of Biomedical Optics
    Journal of Electronic Imaging
    Journal of Medical Imaging
    Journal of Micro/Nanolithography, MEMS, and MOEMS
    Journal of Nanophotonics
    Journal of Photonics for Energy
    Neurophotonics
    Optical Engineering
    Individual Subscriptions
    Institutional Subscriptions
    For Subscription Agents
  • SPIE Digital Library
  • Books
  • Open Access
  • Contact SPIE Publications
Print PageEmail Page

Journal of Applied Remote Sensing Special Section Calls for Papers


To submit a manuscript for consideration in a Special Section, please prepare the manuscript according to the journal guidelines and use the Online Submission System. 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.

View the list of special sections that have already been published on the SPIE Digital Library.

Calls for Papers:

Feature and Deep Learning in Remote Sensing Applications

Improved Intercalibration of Earth Observation Data

Remote Sensing Assessment of Invasive Species Dynamics under Policy and Climate Change Impacts

Recent Advances in Earth Observation Technologies for Agrometeorology and Agroclimatology


Feature and Deep Learning in Remote Sensing Applications

Guest Editors:

John E. Ball
Mississippi State University
Bagley College of Engineering
Electrical & Computer Engineering Department
Mississippi State, Mississippi, United States
E-mail: jeball@ece.msstate.edu

Derek T. Anderson
Mississippi State University
Bagley College of Engineering
Electrical & Computer Engineering Department
Mississippi State, Mississippi, United States
E-mail: anderson@ece.msstate.edu

Chee Seng Chan
University of Malaya
Faculty of Computer Science & Information Technology
Kuala Lumpur, Malaysia
E-mail: cs.chan@um.edu.my

Call for Papers: The shift from ‘human features' to machine-learned features has resulted in phenomenal results in numerous signal/image processing applications, from computer vision to speech recognition. Well-known examples of deep learning include deep belief nets (DBNs), convolutional neural networks (CNNs) and morphological shared weight neural networks (MSNNs), whereas feature learning in general includes techniques such as evolutionary constructed features (ECO) and improved ECO (iECO). Recently, feature and deep learning (FaDL) has made its way into numerous remote sensing applications, which includes analysis using sensors such as synthetic aperture radar (SAR), light detection and ranging (LiDAR), hyperspectral imaging, etc. These sensors provide heterogeneous data and they represent different regions of the electromagnetic spectrum. While FaDL has seen success in applications where large amounts of diverse data exist, FaDL in remote sensing is plagued by spectral, spatial, and temporal dimensionality, and usually has few training samples available due to the high cost of providing labeled data. In addition, most FaDL tools have a large number of parameters to estimate, and they take substantial hardware and time to train and test, which is often not realistic for many remotely sensed applications due to cost or time reasons.

The Journal of Applied Remote Sensing (JARS) will publish a special section on feature and deep learning applied to remote sensing applications. The scope includes, but is not limited to:

  • Remote sensing applications: agriculture, automated target detection, autonomy, change detection, disaster assessment, environmental sensing, forestry, hydrology, land cover classification, soil analysis, ocean sensing, urban analysis/planning, water resource analysis, and water control assessment.
  • Sensors: multi/hyperspectral, LiDAR, radar, synthetic aperture radar, automotive radar, stereo cameras, infrared (thermal), and sonar.
  • Multimodality: multisensor fusion at different stages in the data-processing lifetime.
  • FaDL challenges in remote sensing: limited training data, high spectral dimensionality, multisensor fusion, multiresolution data, and robust performance due to factors such as degradation effects like dust, rain, fog, etc.

Both application and theoretical papers are welcome. To submit to this special section, prepare the paper according to JARS guidelines (https://spie.org/AuthorGuidelines) 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.

Closed for submissions.

Top


Improved Intercalibration of Earth Observation Data

Guest Editors:

Craig A. Coburn
University of Lethbridge
Alberta Terrestrial Imaging Centre
Department of Geography
Lethbridge, Alberta, Canada
E-mail: craig.coburn@uleth.ca

Aaron Gerace
Rochester Institute of Technology
Chester F. Carlson Center for Imaging Science
Digital Imaging and Remote Sensing Laboratory
Rochester, New York, United States
E-mail: gerace@cis.rit.edu

Call for papers: The last 20 years has witnessed a tremendous expansion in the Earth observation ecosystem. There are many new space-borne imaging systems being deployed to serve the ever-evolving needs of the remote sensing community. These new systems are being developed to address a wide range of environmental problems, often with a dedicated application for each sensor. The ability to combine data from several different sensing systems is essential to ensuring that all users of remotely sensed data have reliable, calibrated, and intercalibrated images to suit their needs (past, present, and future).

Vicarious calibration using pseudo-invariant calibration sites (PICS) provides an independent and traceable link between preflight and postlaunch calibration efforts. The objective of this technique is to provide a series of well-characterized ground-based measurements in conjunction with atmospheric measurements and image data to allow image comparison on a common radiometric scale. These procedures have been in use for almost 30 years and have been successful at calibrating airborne and spaceborne systems. The models used to compute the top of atmosphere spectral radiance or reflectance require a measure of surface material properties [e.g., bidirectional reflectance distribution function (BRDF)], atmospheric conditions, and sensor properties. Detailed estimates of these parameters are limited by the lack of field instruments for many Earth targets, yet are essential to develop a very high quality radiometric correction. Recent efforts have been made to provide a more detailed suite of surface, sensor, and atmospheric measurements that would allow the intercalibration of measurements in time, space, spectral, and for different view angles.

The Algodones Dunes system in California, United States, has been identified as a potentially attractive calibration site for U.S. spaceborne assets due to proximity, size, and pseudo-invariant nature. As such, a field campaign was conducted at this site in March 2015 to develop a better understanding of some of the key parameters that will likely impact calibration fidelity when utilizing this location, e.g., the BRDF of sand.

The Journal of Applied Remote Sensing will publish a special section focusing on intercalibration methods and outcomes. We invite you to submit manuscripts focused on site identification and characterization of the relevant parameters that impact the intercalibration process. We are particularly interested in field campaigns that identify and characterize potential calibration sites for a range of materials and spectral channels. The topics may include, but are not limited to, the following:

  • BRDF characterization of "pseudo-invariant" sites.
  • Assessing the impact of atmospheric effects on intercalibration.
  • Assessing the impact of varying sensor effects on intercalibration.
  • Assessing the impact of temporal effects, (i.e., lag time between platforms), on intercalibration.

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 do not hesitate to contact us if you have any questions about this special section.

Closed for submissions.

Top


brome grass

Remote Sensing Assessment of Invasive Species Dynamics under Policy and Climate Change Impacts

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

Call for Papers: 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 (http://spie.org/AuthorGuidelines) 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 do not hesitate to contact us if you have any questions about this special section.

Manuscripts due 1 October 2017.

Top


Agroclimatology

Recent Advances in Earth Observation Technologies for Agrometeorology and Agroclimatology

Guest Editors:

Shibo 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

Call for Papers: 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 (http://spie.org/publications/journals/guidelines-for-authors) 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.

Manuscripts due 30 September 2017.

Top


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


Author Tools

General Guidelines for Authors
Open Access