Imaging Spectroscopy Avancements in Understanding Earth Systems (scientific contributions from 11th EARSeL Imaging Spectroscopy Workshop)
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 October 2019)
Special Issue Editors
Interests: leaf and canopy imaging spectroscopy of terrestrial vegetation; forward and inverse radiative transfer modelling of plant leaves and canopies; interpretation of multi-scale (drone/air-/space-borne) earth observations (machine learning); impact of globally changing climate on plant physiology, stress and functional diversity
Special Issues, Collections and Topics in MDPI journals
Interests: imaging spectroscopy of soil; spectral libraries; soil proxy; hyperspectral RS of soils rocks and minerals; sensor calibration
Special Issues, Collections and Topics in MDPI journals
Interests: imaging spectroscopy and remote sensing of lakes; bio-optical modelling; shallow waters; water quality monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Imaging spectroscopy is a progressive optical remote sensing domain that is increasingly contributing to interdisciplinary research addressing today’s key environmental and societal challenges. The imaging spectroscopy knowledge, traditionally based on airborne and limited space-borne sensors, is expanding towards new spatial and spectral perspectives with new ground-based, unmanned airborne and satellite systems. Several up-coming spaceborne imaging spectroscopy missions (e.g. PRISMA, EnMAP, CHIME, HISUI, etc.) will in a near future open up new opportunities for hyperspectral mapping and quantitative estimations of land and water surfaces. At the same time, new unmanned aircraft systems (UAS) and tower-based instruments are being developed for scaling the imaging spectroscopy signals from detailed to global spatial scales. Novel spectral signals, such as for instance solar-induced chlorophyll fluorescence, and also the fusion of imaging spectroscopy products with active LiDAR and radar remote sensing observations are being explored for advanced temporal monitoring of Earth system functions and spatial structures. Forward simulations and inversions of imaging spectroscopy data and products using physically-based radiative transfer models are becoming more effective and accurate thanks to advancements in machine learning algorithms for data classifications, regressions and emulations. All these technological and methodological developments are advancing our current understanding of the Earth’s natural and man-managed systems. This Special Issue will feature the state-of-the-art imaging spectroscopy research presented and discussed in February 2019 in Brno (Czech Republic) at the 11th Workshop of Special Interest Group on Imaging Spectroscopy of the European Association of Remote Sensing Laboratories (EARSeL).
Dr. Zbyněk MalenovskýProf. Eyal Ben-Dor
Dr. Claudia Giardino
Dr. Lucie Homolová
Guest Editors
Manuscript Submission Information
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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
- Sensor calibrations
- Data corrections
- Software toolboxes
- Forward and inverse modelling
- Field spectroscopy
- Product validation
- Synergies between sensors
- VIS, NIR, SWIR, TIR
- Multi-angular measurements
- Upscaling and downscaling of spectroscopy data
- Spectroscopy applications in vegetation, soil, snow, water, urban systems
- Earth system processes, functions and societal services
- New concepts and technologies
- Future space missions
