Special Issue "EO for Mapping Natural Resources and Geohazards"
Deadline for manuscript submissions: 30 September 2021.
Interests: earth observation; geoscience; geological hazards; mineral resources; mapping
Interests: earth observation; geohazards; mineral exploration; geological remote sensing; ground deformation; InSAR; LiDAR; hyperspectral; geophysics
Special Issues and Collections in MDPI journals
There are few more pressing concerns than the use of our planet’s limited natural resources. Whilst we strive to reuse, reduce and recycle, this cannot meet society’s demands for materials and so sustainable exploitation of natural resources remains a key element of development. At the same time, geological hazards, such as earthquakes, volcanos and landslides, claim an ever-increasing number of lives and livelihoods, as more and more people live in exposed places in the developing world. Both these issues are critical for the planet and demand urgent solutions.
This Special Issue will explore the unparalleled opportunities that satellite and airborne Earth Observation (EO) now offer to measure, map, monitor and model the natural environment. Whether applied to resource exploration, monitoring mining operations and measuring their impacts, or to hazard mapping, damage assessment and recovery activities, EO has a huge role to play. The range of data has never been greater, from optical through thermal to LiDAR and radar systems, as well as unconventional data from such sources as social media and citizen science. These data are increasingly being applied to a growing range of issues across the environmental sciences. Their use is formalised through the Intergovernmental Group on Earth Observations, which prioritises the use of EO to address the Paris Agreement on Climate, Sendai Framework for Disaster Risk Reduction and delivery of the UN’s Sustainable Development Goals. Papers on these themes would be especially welcome, but papers are invited on EO applications to any aspect of natural resources and geohazards.
Prof. Dr. Stuart Marsh
Dr. Stephen Grebby
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 2200 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.
- earth observation
- natural resources
- Paris Agreement
- Sendai Framework
- Sustainable Development Goals
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
1. Title: A spectra classification methodology of hyperspectral infrared images for near real-time calculation of SO2 fluxes from Mount Etna with LARA radiative transfer retrieval model
Author list: Charlotte Segonne1, Nathalie Huret1, Sébastien Payan2, Mathieu Gouhier3, Valéry Catoire4
1 Université Clermont Auvergne, CNRS, LaMP, F-63000 CLERMONT-FERRAND, FRANCE
2 Laboratoire Atmosphères Milieux Observations Spatiales (LATMOS), Sorbonne Université, UVSQ, CNRS, F-75252 PARIS, FRANCE
3 Université Clermont Auvergne, CNRS, LMV, F-63000 CLERMONT-FERRAND, FRANCE
4 Laboratoire de Physique et Chimie de l’Environnement et de l’Espace (LPC2E), CNRS, Université Orléans, CNES, F-45071 ORLEANS CEDEX 2, FRANCE
Abstract: Fast and accurate quantification of gas fluxes emitted by volcanoes is essential for the risk mitigation and a fundamental understanding of shallow eruptive processes Sulphur dioxide, in particular, is a reliable indicator to predict upcoming eruptions, and its systemic characterization allows the rapid assessment of sudden changes in eruptive dynamics. In this regard, infrared hyperspectral imaging is a promising new technology for accurately measure SO2 fluxes day and night at an average frame rate of ~ 1image/sec. It is not very sensitive to particle scattering, which is an asset for the study of volcanic plume. However, raw data processing and SO2 fluxes calculations are particularly time consuming with this instrument. A ground based infrared hyperspectral imager was deployed during IMAGETNA campaign in 2015 and provided high spatial and spectral resolution images of Mount Etna (Sicily) plume. The long-wave hyperspectral imager ranges between 7.7 - 11.8 μm (850-1300 cm-1) at a spectral resolution of up to 0.25 cm-1. The images size reaches 320 x 256 pixels and the acquisition frequency is in the range 0.1-10Hz. There is a trade-off between spectral and temporal resolution preventing from some configurations of acquisition. The LATMOS Atmospheric Retrieval Algorithm (LARA), used to retrieve the slant column densities of SO2, includes an accurate line-by-line radiative transfer model and an efficient minimization algorithm of the Levenberg-Marquardt type. But the calculation time remains too high to infer near real-time (NRT) SO2 fluxes. First, to achieve the NRT objective, a classification methodology for spectra was developed. With this method we produced a library of spectra using two parameters associated with O3 and SO2 emissions bands. The relevance of this method is evaluated in detail through sensitivity tests and then applied to other measurement sequences of the campaign. The estimation of SO2 mass fluxes is then performed showing higher values than those usually obtained at Mount Etna using UV techniques.