Advances of Remote Sensing Inversion

Dear Colleagues,

Remote sensing is a major tool for studying the atmosphere - surface system of the Earth and other planets. During the past five decades radiation measurements from satellites, aircraft and the ground have been successfully employed for characterizing radiative properties of land, ocean, atmospheric gases, aerosols, clouds, etc. One of the challenges of the remote sensing approaches is the development of a reliable procedure for inversion of the observations.  The inversion is particularly crucial and demanding for interpreting highly complex measurements wherein many unknowns must be determined simultaneously. Therefore, the deployment and evolution of remote sensing with various observational capabilities should inevitably be coupled with significant investments in the inverse algorithm developments. This special issue is dedicated to unite publications emphasizing the various aspects of numerical inversion in diverse remote sensing applications. The contributions are expected to address such important attributes of inversion as optimum accounting for errors in the data and inverting multi-source data with different levels of accuracy, utilizing a priori information and ancillary data, synergy retrievals using complimentary measurements or modeling considerations of different nature, inverse modeling and data assimilation, retrieval errors estimations, clarifying the potential of different mathematical inverse and other operations and methodologies, accelerating and optimizing performance of existing formal inverse operations, comprehensive validation of retrieval results, etc. The development of forward models for light propagation and radiation in a complex media are also welcome provided they open opportunities for establishing improved retrieval approaches.

Thus, in this Special Issue, we encourage submissions focusing on various aspects of inversion in diverse Remote Sensing applications, including, but not limited to:

• Satellite, airborne and ground-based remote sensing of atmosphere;
• Characterization of aerosol, cloud and atmospheric gases properties;
• Land and ocean surface characterization and atmospheric correction;
• Data assimilation and fusion of modeling and observations.

Dr. Oleg Dubovik
Dr. Feng Xu
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.