Mountains Snow in a Changing Climate

Mountainous regions are the freshwater sources for approximately two billion people. In mountainous regions, snow is a key component of the hydrological cycle and downstream water availability. Anomalous snow accumulation and melt cause catastrophic hazards and affect water resources. The spatiotemporal snow cover, snow water equivalent, and snowmelt processes are significant for understanding downstream water resources and managing associated hazards. Remote sensing provides an unparallel source of data to understand the large spatial extent of snow cover. Large-scale snow data are derivable from various remote sensing (low/medium/high resolution) satellites. Such data are useful for spatio-temporal changes assessment and assimilation into hydrological and climate models to predict snowmelt runoff, water resources, and early warning of downstream natural hazards. Mountain snow experiences rapid variations due to climate change. The recent advances in spatial and temporal resolution and availability of various remote sensing data with new techniques have greatly advanced snow monitoring in topographically complex mountains.

The Special Issue invites the latest research in remote sensing of snow in the changing climate. We encourage innovative research and new remote sensing techniques in mountainous areas. This Special Issue invites research on the topics, including, but not limited to:

• Remote sensing of snow;
• Data fusion, deep learning, and machine learning for snow retrieval;
• Seasonal and long-term snow cover changes;
• Snowmelt runoff and flood modelling;
• Snow hydrology;
• Hydrological droughts.

Dr. Sher Muhammad

Dr. Shaukat Ali

Dr. Yasir Latif

Dr. Adnan Ahmad Tahir

Guest Editors

Dr. Sher Muhammad
Dr. Shaukat Ali
Dr. Yasir Latif
Prof. Adnan Ahmad Tahir
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 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 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.

• Snow cover
• Snowmelt
• Remote Sensing
• Climate Change
• Mountains.