Special Issue "InSAR for Earth Observation"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 December 2019).
Interests: satellite remote sensing; SAR interferometry; InSAR and GNSS data analysis; optical data analysis; natural and anthropogenic hazard characterization and modeling
Interests: earthquake and interseismic deformation; evolution of crustal temperatures in volcanic regions; InSAR time series; time-dependent strain rate estimation from GNSS data; cycling of seismogenic stresses
The past twenty-five years have seen InSAR progress, from its initial development as a new and pioneering remote sensing tool for measuring Earth topography and surface deformation, to a mature technology that now provides crucial constraints on a broad and diverse range of Earth science processes. While its extensive use for mapping ground deformation with high spatial resolution and sub-centimeter precision over large areas makes it ideal for studying natural and anthropogenic hazards, such as landslides, subsidence, volcanic unrest, and earthquake processes, it also has had important impacts in environmental and land surface studies. These latter studies include, but are not limited to, applications in the fields of glaciology (e.g., ice dynamics), oceanography (e.g., wave dynamics), hydrology (e.g., flood inundation), and geomorphology (e.g., sediment erosion and deposition).
For this Special Issue, we invite contributions that illuminate the advances in SAR technology, processing and analysis, including modelling studies that have contributed to the expansion in InSAR applications for Earth observation and study. The primary goal of the Special Issue is to present overviews of both the state-of-the-art of SAR and the next generation of applications across the broad range of InSAR Earth science applications. Papers that address the expanding depth of SAR databases, the increase in resolution (both in time and space), and the growth of the number of SAR sensors orbiting the Earth are of particular interest. We welcome submissions from all areas of Earth sciences that might include, but are not limited to, techniques that take advantage of the recent and upcoming SAR satellite acquisitions, develop advanced methods for improving ionospheric and/or atmospheric artefact corrections, present innovative methods for unwrapping, investigate specific methods such as multichromatic interferometry, or investigate methods for assimilating and optimizing the associated large quantities of data and quantifying the associated error, or describe algorithms for integrating various types of satellite observations.
Dr. Kristy Tiampo
Dr. Eric Hetland
Dr. Nicolas D'Oreye
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 papers will be 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 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 2400 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.
- InSAR processing
- remote sensing
- environmental science
- anthropogenic and natural hazards
- land surface change
- ocean surface processes