Archive for the 'Remote Sensing' Category

Call For Papers: IEEE Signal Processing Society: “Special Issue on Signal and Image Processing in Hyperspectral Remote Sensing”

Aims and Scope

Hyperspectral imaging has recently emerged as one of the very promising technologies in remote sensing, enabling applications that may have been previously seen as impossible in multispectral imaging. Hyperspectral cameras deployed in current airborne or satellite systems can cover the visible and near-infrared wavelengths at a resolution of 10nm, with more than 200 spectral channels. This vastly increased spectral information content creates a unique opportunity for numerous applications, such as mineral identification, agriculture, environment monitoring, terrain classification, object detection, change detection, and many more. Hyperspectral imaging is also a key technique for planetary exploration, astrophysics, and non-remote sensing problems such as food inspection and forensics. Remarkably, these meaningful and important applications have led to a wide variety of signal processing problems, which have attracted growing attention and contributions from the signal processing, image processing and machine learning communities. In particular, we have witnessed developments that are far from being just a straight application of a signal processing technique. Instead, some of them turn out to provide new insights and open new dimensions for fundamental signal processing research. For example, it has recently become clear that the unmixing topic in hyperspectral remote sensing has formed a new branch of blind source separation techniques, wherein the exploitation of special source characteristics, such as local sparsity, has been found to provide very effective blind separation solutions. The same goes with the classification and detection topics, where the utilization of contextual information or combined spatial-spectral processing has resulted in new paradigms. Moreover, the recent research trend indicates that hyperspectral signal and image processing is embracing frontier signal processing concepts very quickly—this includes sparse signal processing, compressive sensing, and convex and nonconvex optimization, just to name a few.

The aim of this special issue is to gather high-quality tutorial-style articles that introduce key signal processing topics arising from hyperspectral remote sensing, demonstrate the insight and uniqueness of signal processing techniques established in this area, and/or provide overviews of the latest trends. In particular, we wish to shift the perspective from the remote sensing side to signal processing, and extract insight behind the signal processing developments happening in hyperspectral remote sensing. While this is the focus of this special issue, we may also welcome application-oriented papers that can tell a good story regarding how signal processing makes a difference.

Topics of Interest include (but are not limited to):

  • unmixing, both linear and nonlinear, and both semisupervised and unsupervised
  • classification
  • target or anomaly detection at a subpixel level
  • coded aperture and compressive sensing
  • sparse signal processing, which includes sparse regression, dictionary learning, multiple measurement vector models, etc
  • convex and nonconvex optimization
  • contextual information or combined spatial-spectral processing
  • Bayesian and statistical signal processing
  • nonlinear manifold learning, graph theoretic methods
  • dimension reduction, subspace identification, non-negative matrix factorization

Submission Process

Articles submitted to this special issue must contain significant relevance to signal processing and its application to hyperspectral remote sensing. All submissions will be peer reviewed according to the IEEE and Signal Processing Society guidelines. Submitted articles should not have been published or under review elsewhere. Manuscripts should be submitted online at using the Manuscript Central interface.

Submissions to this special issue of the IEEE SIGNAL PROCESSING MAGAZINE should have significant tutorial value. Prospective authors should consult the site for guidelines and information on paper submission.

Important Dates

Tentative Schedule
White paper (4 pages) due December 9, 2012
Invitation notification January 3, 2013
Manuscript submission due March 22, 2013
Acceptance notification June 15, 2013
Final manuscript due August 18, 2013 (strict)
Final Publication January 2014



Global SPOT/VGT Surface Albedo (1999 – present) now available

The Core Mapping Service BioPar of the geoland2 project announces the availability of Surface Albedo products derived from SPOT/VEGETATION sensor data over the globe. They include the broadband ([0.4, 0.7µm], [0.7, 4µm], [0.3 – 4µm]) black-sky and the white-sky albedo. These products cover the period from 1999 to the present and the production is continuing in near real time with a new product available every 10 days.

The SPOT/VEGETATION Surface Albedo products can be discovered and ordered freely through the geoland2 web portal following the link


Witness the Launch of the next Landsat Satellite

NASA will host a two-day event for 80 of its social media followers on ­­­­­­Sunday, Feb. 10, and Monday, Feb. 11, at Vandenberg Air Force Base in Lompoc, Calif., for the launch of the Landsat Data Continuity Mission, a satellite that continues a record-breaking 40 years of Earth observations.

Landsat satellites provide the longest continuous global record of the Earth’s surface – ever. The first Landsat satellite launched from Vandenberg in 1972 and now what will become the eighth satellite in the Landsat series is scheduled to also launch from Vandenberg. This satellite, the Landsat Data Continuity Mission (LDCM), continues Landsat’s critical role in monitoring, understanding and managing our resources of food, water and forests.

A collaboration between NASA and the U.S. Geological Survey (USGS), the Landsat program provides data that shows the impact of human society on the planet – a crucial measure as our population surpasses seven billion people. Landsat data has, over time, led to the improvement of human and biodiversity health, energy and water management, urban planning, disaster recovery and agriculture monitoring, all resulting in incalculable benefits to the U.S. and world economy.

LDCM will join the aging Landsat 5 and Landsat 7 satellites in orbit to produce stunning images of Earth’s surface along with a wealth of scientific data.

NASA Social participants will have the opportunity to:

  • Hear first-hand accounts by the Landsat Mission science and engineering teams.
  • Get a behind-the-scenes tour of Vandenberg Air Force Base’s Western Range including:
    • A rare look inside the the Western Range Operational Control Center (WROCC), which provides safe control of all launches from Vandenberg. The WROCC includes the control center, mission flight control center, weather center and transportation control center.
    • Tours of the Landsat Launch Mission Control room, the LDCM launch pad & The Vandenberg Heritage Center
    • Vandenberg’s on-base private museum, located at historic Space Launch Complex-10. This visit includes historic briefings and artifacts dating to the earliest launches from the West Coast.
  • Meet fellow space enthusiasts who are active on social media.
  • Meet members of NASA’s social media team.

All sites on VAFB are subject to closure due to mission requirements

*** On the day of launch, NASA Social participants and their friends and families are invited to a special public viewing area to watch LDCM achieve orbit aboard an Atlas-V rocket. ***

Registration opens on this page at noon EDT on Wednesday, Dec. 12, 2012 and closes at noon, EST on Wednesday, Jan. 2, 2013.



Postdoctoral position in Remote Sensing of the Arctic Ocean

The postdoc position will be hosted by the Radar Remote Sensing group at the Department of Earth and Space Sciences, in close collaboration with the Maritime Environment group at the Department of Shipping and Marine Technology. The two research groups collaborate with oceanographers and modellers at the Swedish Meteorological and Hydrological Institute (SMHI) and the University of Gothenburg.

Curiosity is the driving force behind the research at the Department of Earth and Space Sciences and our goals are to find new knowledge about space, our earth and our future energy supply. Through observations of the universe as well as earth, we make predictions about the future and promote sustainable development. To reach our goals, we develop highly sensitive measuring instruments and observational methods, as well as advanced algorithms for data analysis and theoretical models.

Shipping and Marine Technology covers a wide research field, ranging from environmental research to the development of the latest technologies for propulsion and navigation of ships. Our research aims to improve ship efficiency, marine environment, and working conditions for the ship personnel.

Information about the project

The rapid change of the Arctic region and melting of the polar ice open up for an increase in maritime activities in the Arctic region; both increased interest in shorter shipping routes between the Atlantic and the Pacific and exploration of new oil and gas fields. The expected increase in maritime activities brings an increased risk for oil spill and pollution. From an environmental perspective the Arctic region is very sensitive, much due to the low temperatures that slow down biogeochemical processes.

The aim of the project is to use archived and new satellite data to provide background information to a risk assessment study on effects and potential geographical distribution of oil pollution along prospected future shipping lanes in the Arctic and to identify future challenges. The project is funded by Chalmers Area of Advance for Transport.

Job description

The main task of the postdoc will be to compile estimates of sea ice extent, sea ice drift, ocean currents and surface wind conditions for the risk assessment. An important source of information is expected to be satellite data and satellite products. The collected data should be processed and analyzed and the resulting information should be formatted and documented for use in the risk assessment. The estimation of ocean and sea ice parameters can be done with algorithms that are available at the Department of Earth and Space Sciences. Planning of and participation in field work could become a part of the job. Methods, results and conclusions from the research are expected to be presented in scientific papers and in a report. Collaboration with researchers and Ph.D. students at both departments, as well as outside Chalmers, will be fundamental for the success of the research.

The employment is limited to a maximum of 2 years (1+1). The majority of the working time will be devoted to research, but there is also a possibility to take part in teaching or supervision of M.Sc thesis students and Ph.D. students.


The applicant should have Ph.D. degree in remote sensing, oceanography, environmental science, physical geography, electrical engineering or related disciplines by the start of the appointment. The Ph.D. degree should normally not be older than 3 years. A successful candidate should have a solid background in mathematics and physics. Applicants with experience in remote sensing and good programming skills will be preferred. Experience from research on sea-ice, sea surface winds, ocean currents or other topics closely related to the focus of the project is an advantage, but not required.

Fluency in English, both written and verbal is a must, as well as good collaboration and communication skills. The research will require a person that is motivated, has the ability to drive the work forward and is able to perform well both in a group and in individual work.

Application procedure

The application should be marked with Ref 20120285 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

  1. Application: (Please name the uploaded document in ReachMee as: APPLICATION, family name, ref. number)
    – CV, including list of publications,
    – two reference persons who can be contacted by Chalmers (describe association with them and give their contact addresses),
    – attested copies of education certificates, including grade reports and other documents.
  2. A letter of application detailing your specific qualifications for the position, (named: QUALIFICATIONS, family name, ref. number)
    – maximum one A4 page
  3. Research description: (named: RESEARCH PLANS, family name, ref. number)
    – 2-3 pages describing accomplished research and the plans for future research

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 2012-10-31

For questions, please contact:

Associate Professor, Leif Eriksson, Radar Remote Sensing Group, Department of Earth and Space Sciences,, Tel. +46-31-7724856

For information on the Maritime Environment Group at the Department of Shipping and Marine Technology, please contact Professor Karin Andersson,,  Tel. +46-31-7722152



NASA’s ARSET Training Program: From the Classroom to Real-World Satellite Applications

The NASA Applied Remote Sensing Training Program (ARSET) provides technical capacity building activities to help integrate NASA Earth Science into environmental management. ARSET works directly with agencies in the public and private sector to

1) identify environmental management activities that could benefit from NASA Earth Science and

2) develop online and hands-on courses that teach the NASA imagery, data, and web tools best suited to the identified application area and their use for decision-support.

For more information, please visit:



Australia creates world’s first continental-scale mineral maps

The new suite of mineral maps will enable mining companies to increase the efficiency and viability of their exploration efforts.

The world-first maps were generated from a ten-year archive of raw Advanced Spaceborne Thermal Emission and Reflection (ASTER) data collected by NASA and the Japanese Government’s Japan Space Systems.

CSIRO scientists have developed software that transformed the data into a continent-wide suite of mineral maps that show information about rock and soil mineral components and provide a Google-like zoom to view images from thousands of kilometres wide to just a few kilometres. They are already changing the way that geoscientists look for mineral deposits by providing more accurate and detailed information than ever before.

The ASTER maps represent a successful collaboration involving scientists from Japan, USA and Australia. Data access and software development has been coordinated by CSIRO through the Western Australian Centre of Excellence for 3D Mineral Mapping and involves Geoscience Australia, state and territory Geological Surveys, AuScope, iVEC, NCI, JSS, NASA and the USGS.

The maps were officially launched at a short ceremony featuring CSIRO Chief Executive, Dr Megan Clark and Geoscience Australia CEO, Dr Chris Pigram at the 34th International Geological Congress in Brisbane last night.

Following the launch, Professor Yasushi Yamaguchi, head of the Japanese ASTER science team said, “Congratulations on your successful launch of the ASTER geoscience maps of Australia. It is a very good example of the ASTER contribution to the geoscience community and I am very proud of being an ASTER science team member”.

Dr Mike Abrams from NASA and head of the US ASTER science team added, “Congratulations on an impressive project. I do like your idea of producing global geoscience maps, similar to what you have created for Australia”.

The Australian ASTER geoscience maps can be obtained from the AuScope Discovery Portal, the Western Australian Centre of Excellence for 3D Mineral Mapping and Geoscience Australia. State and territory coverage can also be acquired from the respective government geological surveys.


Research Assistant/Associate, GIS & Remote Sensing: Tropical Land Use/Land Cover Change

The Amazon Environmental Research Institute International Program (IPAM-IP) is a non-profit organization that conducts research, policy analysis, and capacity‐building in support of low-emission rural development and natural resource conservation in the developing world. With offices in San Francisco, IPAM-IP acts as the international arm of the Instituto de Pesquisa Ambiental da Amazônia (IPAM), a non-governmental organization headquartered in Brazil with a seventeen year history of ecological research and sustainable development initiatives in the Amazon. For more information on IPAM International Program, please visit:

Summary: IPAM-IP seeks a research assistant/associate to assist with geospatial analysis and modeling, including processing remotely sensed imagery, for research projects focused on (1) mapping and monitoring of land-use in the tropics, incorporating spatial and other data, and (2) mapping, monitoring, and modeling for policy analysis in the tropics, from local to global scales. The position requires advanced experience obtaining and processing a broad range of geospatial data, using a variety of software and geospatial tools and approaches, and the ability to manipulate large datasets and manage databases. The successful candidate will be highly motivated, show initiative, have the ability to work both independently and as part of a team, and possess the ability to continuously learn new technical skills as needed.

Responsibilities: The successful candidate will:

  • Support the “Agricultural Commodity Roundtables and REDD+” program and related projects;
  • Organize and manage extensive spatial databases, and support and lead efforts to map land use and land use change;
  • Prepare data for and carry out a variety of spatial analyses in collaboration with staff scientists;
  • Acquire and process geospatial datasets from multiple sources, including pre-processing and and analyzing satellite imagery (from multiple sources, but especially Landsat and MODIS sensors);
  • Manage and administer licenses and license and data server;
  • Assist in developing and writing proposals, manuscripts, presentations, etc.

Qualifications and Experience:

  • B.A./B.S. or M.S. in Geographical Information Systems (GIS), or alternative qualifications in applied GIS with a degree in environmental studies, or other relevant subject;
  • Experience in processing multi-sensor imagery for mapping applications;
  • Experience with standard GIS and digital image processing software packages (e.g., ArcGIS, Erdas, Imagine, Idrisi, ENVI/IDL, ECognition and/or open source alternatives);
  • Experience in developing geospatial models (including dynamic modeling);
  • Experience with geospatial script writing (e.g., Python, R, C/C++, Java, etc.);
  • Experience in performing GIS tasks in a multiple operating systems (Windows/Linux/Mac);
  • Programming experience to automate tasks highly desirable;
  • Work well in a collaborative setting and have excellent written and oral communication skills;
  • Excellent written and spoken English a must;
  • Written and spoken language skills in Portuguese, Spanish, French, and/or Indonesian a plus;
  • IT skills/experience a plus;
  • Experience working in an international environment a plus;

Application deadline: October 15, 2012

Desired start date: ASAP

Compensation, Appointment, Location: This is a full-time appointment. The assistant will be based in San Francisco with some travel, as necessary. Compensation commensurate with experience.

Application Instructions: Please send cover letter referencing Job# 3302FHCS, curriculum vitae, and contact information for 3 references to Please reference Job# 3302FHCS,in the subject line of the email.


MERIS Biophysical products available in near real time over Europe

The Core Mapping Service BioPar of the geoland2 project announces the availability of a set of biophysical variables derived over Europe from the MERIS Full Resolution data. It includes the leaf area index, the fraction of absorbed PAR (see image in attachment), the content of chlorophyll, the fraction of green vegetation cover, the fraction of brown vegetation cover, the fraction of soil, the canopy shade factor, the fraction of water, and the fraction of snow. These variables are provided as 10-days products, per country, at 300m resolution from March 2011 to the present and the production is continuing with the near-real time generation of new maps every 10 days.

The MERIS biophysical products can be discovered and downloaded freely through the geoland2 web portal following the link A Product User Manual and a Validation Reports are also available.

These products are generated by Astrium Services in the framework of the FP7/geoland2 project (

R. Lacaze, Geoland2/BioPar Task Manager

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