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
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:
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.
In February 2019, ESA kicked off the CCI project on Lakes, as an
essential climate variable. The main objective of ‘lakes cci’ (http://cci.esa.int/lakes) is to
exploit satellite data to create the largest and longest possible
consistent, global record of five lake parameters (Level, Extent,
Temperature, Ice cover, Reflectance) for evaluating how lakes play the
role of proxy, regulator and integrator of climate change.
In this initial phase, we have prepared a survey to determine some
basic requirements for data exploitation.
The anonymous ‘lakes cci’ questionnaire (just 12 simple questions in
less than 5 min) is available at the following link.
Inputs from the AquaWatch community (preferably by 15 June) will be
very much appreciated:
For more information please write to: firstname.lastname@example.org