Author: merriebethneely

IEEE Call for Papers: Analysis-Ready Data Interoperability

CALL FOR PAPERS: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Special Issue on Analysis-Ready Data Interoperability

The second Analysis-Ready Data (ARD) workshop on remote sensing data interoperability took place on August 5-7, 2019 at the USGS Menlo Park Campus. A Special Issue of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) is planned for open access publication. This special issue will accept a select number of studies presented at the ARD workshop as well as from the broader scientific and engineering community engaged in the following topics:
 Geometric and Radiometric Harmonization
 Image Quality Metrics, Monitoring and Specification
 Machine-learning applications/methods
 Benchmarking standards, including datasets, harmonization algorithms, and machine learning performance
 Time-series Analysis and sensor-fusion algorithms
 Labeled Training Data
 Atmospheric compensation, and cloud/shadow masking
 Sensor and pixel alignment
 Color and Visual Products
 ARD-driven Payload design & System Engineering, Hardware
 Standards for Data Distribution and Commercialization (Open Data Cube, STAC, COGs, etc.)
 Imaging pipelines, software engineering and distributed computing for ARD

Submission Period is October 1, 2019 – March 31, 2020, for publication later in 2020.  Read More here:

Registration now open! US Great Lakes – centric Satellite Training Course

Hurry to register!  The NOAA Satellite Remote Sensing Data Training Course (Great Lakes) will be held at  the NOAA Great Lakes Environmental Research Laboratory in Ann Arbor, Michigan in November 5-7, 2019.   This training class is free, but the registration ends September 6, 2019 or sooner if the seating capacity of 30 students is reached.   Some ArcGIS experience is preferred, but not required, and the class is open to anyone.  Accommodation and meals are not provided for this event.

Ocean Sciences 2020 Session Announcement! Abstracts close Sept. 11!

CP019:  Water quality monitoring and forecasting in coastal and inland waters: Applications and operational services  Topic Area: Coastal and Estuarine Processes   

SUBMIT AN ABSTRACT TO THIS SESSION

Water is an increasingly threatened resource, particularly the quality of coastal and inland waters due to population growth, urbanization, and climate change. Further, the interfacial nature of the coastal zone, bridging aquatic, terrestrial, atmospheric, and anthropogenic domains, means they are significantly impacted by dynamic, complex processes. Timely, accurate, and consistent scientific-based assessments, monitoring and forecasting of water quality are crucial across global, regional, and local scales. This session solicits contributions addressing the end-to-end value chain for coastal and inland water quality. This includes new and improved physical, biogeochemical, and ecological observations and data products (remote and in situ), data assimilation and forecasts, and synergistic generation of fit for purpose water quality products and indicators to provide integrated information for water quality managers and other stakeholders. Developmental and operational activities that couple products and indicators (from observations, models etc.) across the land-water interface are solicited, likewise information delivery systems and decision-making tools that enhance user knowledge. This session advances the goals of the AquaWatch Initiative being developed under the auspices of the Group for Earth Observations, particularly development of water quality monitoring and forecasting service(s) in developed and developing nations, supporting the U.N. Sustainable Development Goals, especially SDG-6: Clean Water and SDG-14: Life Below Water.  Studies focusing on data products, applications, and operational services should submit to this session; abstracts focusing more on the basic understanding of biogeochemical processes associated with water quality should instead submit to the “Water quality monitoring and forecasting in coastal waters: Biogeochemistry of urban systems” session.

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    Take GEOAquaWatch’s Water Quality Survey!

    We would appreciate your anonymous feedback in our online survey about water quality monitoring around the world and use of remote sensing to assess water quality.  Your input will be used to inform our global water quality training and education efforts.  Anyone involved in water quality should take this survey – from managers and field/lab workers to researchers and citizen scientists. 

    This quick survey is available in five languages: English, Chinese, French, German, and Spanish – responders may remain anonymous.  This survey will remain open only a short time and can be completed within 5-8 minutes. All responses will remain confidential and secure.  Multiple survey-takers may use the same IP address for their individual entries.   Thank you in advance for your valuable insights and we appreciate your trust.

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