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Active-Passive Microwave Sensing for Earth System Parameters

Special Issue Information

Dear Colleagues,

Active and passive microwave signals from the Earth co-vary depending on the scattering and emission characteristics of natural media (e.g. soil, vegetation snow or ice). Based on such characteristic covariations, signals from different sensors can be combined for joint data analyses and retrieval of Earth system properties such as soil or plant moisture.

The currently operating fleet of Earth remote sensing satellites comprises various microwave radiometers (e.g. SMAP, SMOS & AMSR-2) and SAR sensors (e.g. SAOCOM-1, ALOS-2, Sentinel-1 & TanDEM-X). Moreover, new missions are planned for launch in the next years (e.g. RCM, WCOM, Tandem-L).

Their data can be integrated for joint estimation of parameters reflecting conditions of the Earth system. In this way, the advantages of different sensing techniques can be combined, and their individual drawbacks alleviated.

The special issue aims at presenting novel algorithms, application case studies and review discussions on active-passive microwave sensing for estimation of Earth system parameters (e.g. soil or plant moisture, surface roughness, vegetation or ice structure, snow water equivalent, …).

Contributions dealing with all components of the Earth System are welcome and may include in-situ measurements and/or non-microwave remote sensing data for parameter estimation at various spatial and temporal scales. Example potential focus areas include:

  • Advances in combining active and passive microwave sensing techniques to provide spatially distributed, high-resolution data,
  • Multi-sensor (active-passive) algorithms for estimation of Earth system parameters,
  • Space-borne, airborne or ground-based experiments to study active-passive estimation techniques of soil, vegetation, snow or ice parameters,
  • Case studies at global or local scale for dedicated estimation of single Earth system parameters with comparison of in-situ observations or modelling results.

Prof. Dr. Joel T. Johnson
Dr. Narendra N. Das
Dr. Jian Peng
Dr. Thomas Jagdhuber
Guest 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 special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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.

Keywords

  • Active-Passive Sensing
  • Microwaves
  • Radiometer
  • SAR
  • Multi-Sensor
  • Data Fusion
  • Parameter Estimation
  • Earth System
  • Soil
  • Vegetation
  • Snow
  • Ice
  • Biomass
  • Forest

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Remote Sens. - ISSN 2072-4292