Remote Sensing Data for Modeling and Managing Natural Disasters

Dear Colleagues,

Natural disasters are a growing threat globally, leading to multiple damage to ecosystems and the human population. The availability of remote sensing (RS) data is growing steadily, and RS is increasingly used for monitoring and modeling natural disasters. Monitoring is crucial to identify hotspots of natural disasters and integrate these data and information into early warning systems. At the same time, RS data are pivotal for model calibration and validation, which enables us to take a look into the future through modeling dedicated scenarios under a changing climate. In this way, by combining the power of RS and modeling,  important information for policy and decision makers can be produced, which, in turn, is key for reducing the risks posed by many kinds of natural disasters.

This Special Issue will collect research papers on the use of remote sensing data to monitor and model natural disasters at various spatial and temporal scales. This includes understanding the impacts of multiple/compound disasters and analyzing cascading effects. Our end goal is to gain an understanding of historical, current, and future hotspots and propose adaptation and mitigation options.

We encourage the submission of research articles on the following themes: wildfires, windstorms, bark beetles, floods, droughts, rockfalls, and landslides; we also invite papers that discuss their compound effects. Additionally, we welcome various assessments of climate change impacts and potential adaptation and mitigation options. These may include inter-alia suitability maps for agriculture and forestry, resilience studies, the development of multi-hazard hotspot maps, permanence discussions for land-based carbon dioxide reduction (CDR) methods, and early warning systems.

Dr. Andrey Krasovskiy
Dr. Frédéric Berger
Dr. Florian Kraxner
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-anonymized 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.