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Current, Planned, and Future Satellite Missions: Guidelines for Data Exploitation by the Remote Sensing Community

A topical collection in Remote Sensing (ISSN 2072-4292). This collection belongs to the section "Satellite Missions for Earth and Planetary Exploration".

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Laboratory for Earth Observation, Image Processing Laboratory, Department of Earth Physics and Thermodynamics, Faculty of Physics, University of Valencia, Scientific Park, 46980 Valencia, Spain
Interests: optical remote sensing; imaging spectroscopy; vegetation fluorescence; vegetation biophysical parameters; land surface applications; optical reflectance/fluorescence models; retrieval methods; design of future earth observation missions; dynamical vegetation models; calibration/validation field campaigns
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Dear Colleagues,

Articles written in tutorial style are becoming increasingly popular and denote a new trend in remote sensing (RS) publications. The large number of satellite missions currently in operation or to be launched in the near future is putting pressure on the RS user community (newcomers as well as experienced users) to keep up to date with the new technology advances and the vast variety of RS datasets and tools. It is difficult for scholars and practitioners, even for experts, to keep up with so many new and rapidly evolving scientific and technological developments, and to explore and exploit new types of data as they become available for science and applications.

In response to this trend, space agencies and data providers are embarking on an effort to provide not only the data but also the tools for users to visualize and explore such large volumes of data (through models and data assimilation or using big data, machine learning approaches). However, the diversity of satellite missions means that data types are handled by different processing centers and/or require different algorithms/approaches depending on the mission. Many applications require combinations of multiple datasets collected by a variety of satellite missions that are sometimes distributed by different agencies or research institutions. This may cause an additional problem, namely that data derived from the same source are mutually inconsistent due to different data processing strategies. Consequently, guidelines that ensure proper usage of the data, especially by inexperienced users, are becoming absolutely necessary.

Responding to this need for guidelines, we have set up a collection consisting of tutorial-style articles in the Satellite Missions for Earth and Planetary Exploration Section. Ideally, articles should be written by authors who are core scientists of satellite instruments/missions, or close to the science/management teams associated to each mission. While guidelines about characteristics and potential applications of recent/future satellite missions are welcome, tutorials on the synergistic usage of products from multiple missions are also encouraged.

We believe that tutorial-style articles would provide proper guidance for the increasing number of remote sensing data users. We hope that this collection will provide a forum to disseminate precise and rigorous information about current and future satellite missions.

Prof. Dr. Jose Moreno
Dr. Magaly Koch
Prof. Dr. Robert Wang
Collection Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

2023

16 pages, 32680 KiB  
Article
Anticipated Capabilities of the ODYSEA Wind and Current Mission Concept to Estimate Wind Work at the Air–Sea Interface
by Hector Torres, Alexander Wineteer, Patrice Klein, Tong Lee, Jinbo Wang, Ernesto Rodriguez, Dimitris Menemenlis and Hong Zhang
Remote Sens. 2023, 15(13), 3337; https://0-doi-org.brum.beds.ac.uk/10.3390/rs15133337 - 29 Jun 2023
Cited by 4 | Viewed by 1991
Abstract
The kinetic energy transfer between the atmosphere and oceans, called wind work, affects ocean dynamics, including near-inertial oscillations and internal gravity waves, mesoscale eddies, and large-scale zonal jets. For the most part, the recent numerical estimates of global wind work amplitude are almost [...] Read more.
The kinetic energy transfer between the atmosphere and oceans, called wind work, affects ocean dynamics, including near-inertial oscillations and internal gravity waves, mesoscale eddies, and large-scale zonal jets. For the most part, the recent numerical estimates of global wind work amplitude are almost five times larger than those reported 10 years ago. This large increase is explained by the impact of the broad range of spatial and temporal scales covered by winds and currents, the smallest of which has only recently been uncovered by increasingly high-resolution modeling efforts. However, existing satellite observations do not fully sample this broad range of scales. The present study assesses the capabilities of ODYSEA, a conceptual satellite mission to estimate the amplitude of wind work in the global ocean. To this end, we use an ODYSEA measurement simulator fed by the outputs of a km scale coupled ocean–atmosphere model to estimate wind work globally. The results indicate that compared with numerical truth estimates, the ODYSEA instrument performs well globally, except for latitudes north of 40N during summer due to unresolved storm evolution. This performance is explained by the wide-swath properties of ODYSEA (a 1700 km wide swath with 5 km posting for winds and surface currents), its twice-a-day (daily) coverage at mid-latitudes (low latitudes), and the insensitivity of the wind work to uncorrelated errors in the estimated wind and current. Full article
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