Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Correction of Remotely Sensed Imagery"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 24821
Special Issue Editors
Interests: blind estimation of degradation characteristics (noise, PSF); blind restoration of multicomponent images; multimodal image correction; multicomponent image compression; multi-channel adaptive processing of signals and images; unsupervised machine learning and deep learning; multi-mode remote sensing data processing; remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue in Remote Sensing: Remote Sensing Data Compression
Special Issue in Remote Sensing: Multispectral Image Acquisition, Processing and Analysis—2nd Edition
Special Issue in Sensors: UAV Imaging and Sensing
Special Issue in Remote Sensing: Hyperspectral Remote Sensing Imaging and Processing
Interests: environmental applications of remote sensing; atmospheric correction; air quality assessment/monitoring; aerosols; natural hazards; land cover/use change; GIS; spatial data analysis; climate change; natural disasters and extremes; desertification; precision farming; soil erosion
Special Issues, Collections and Topics in MDPI journals
Special Issue in Atmosphere: Advances in Integrated Air Quality Management: Emissions, Monitoring, Modelling (2nd Volume)
Special Issue in Land: Editorial Board Members’ Collection Series: Geostatistical Methods in Land Process Studies
Special Issue Information
The development of highly efficient correction methods for the fast and accurate retrieval of bio- and geo-physical key variables for a wide variety of atmospheric conditions and land or ocean surface types remains a challenging task for providing the end-users with methods suitable for operational processing flow.
Producing high precision standard surface reflectance products both in terms of recovering quality and implementation efficiency is even more challenging for the multisensor exploitation of remotely sensed scenes possibly captured in different inclement conditions.
These methods should adapt to a wide variety of operational conditions, involving a wide range of spatial and spectral resolutions, including coarse, medium and high resolution cases, different temporal scales (frequent or long-term surveys) as well as to different sensor suites (multi-, hyper- spectral, radar). In every case, the ultimate goal is to provide high quality sensor data that meet the users' requirements and expectations for interdisciplinary applications.
This Special Issue is thus intended to cover the last advances (but not limited to) related to the accurate correction of data remotely sensed from emerging technologies and platforms (spaceborne, airborne and from Unmanned Aerial Vehicles). This typically includes the conventional stages of atmospheric, radiometric, and geometric corrections as well as all methods for internal calibration, external re-calibration and post-processing methods developed to mitigate or properly compensate for a strong variation of disturbances or correct attenuation, artefacts, measurement and residual errors from any error source (calibration anomaly, geolocation, misalignment, topographic relief effect, shadow area, data inconsistencies between sensor(s),...). Validation methods for comparing retrieved parameters to either forward bio- or geo- physical or in situ measurements are also focused.
A wide spectrum of recent and latest emerging applications highlighting remotely sensed data corrections are obviously targeted including biodiversity assessment, vegetation and environmental monitoring (identification of diversity in grassland species, invasive plants, biomass estimation, wetlands), precision agriculture in agricultural ecosystems and crop management, water resource and quality management in nearshore coastal (mapping near-surface water constituents, benthic habitats) and inland waters (analysis and surveying of rivers and lakes), sustainable forestry and agroforestry (forest preservation and mapping of forest species, wildfire detection), mapping archaeological areas, urban development and management, land data assimilation system over mountainous terrain and hazard monitoring.
Dr. Benoit Vozel
Dr. Adrianos Retalis
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 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 2500 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.
- atmospheric correction
- radiometric correction
- Unmanned Aerial Vehicles
- airborne data
- satellite remote sensing
- bio- and geo-physical variables