Monitoring Cold-Region Water Cycles Using Remote Sensing Big Data

Dear Colleagues,

Water resources in cold regions, such as glaciers, snowpacks, frozen ground, lake/river ice, and discharge, have been jeopardized by the highly uncertain effects of climate change. Clarifying the water resources in cold regions is a scientific frontier for the sustainable development of cold regions. Due to the limitations of conventional remote sensing techniques, the water resources in cold regions cannot be well monitored and evaluated using big data. Currently, machine learning techniques have made significant advances in the reconstruction of missing hydrological information from remote sensing big data. The combination of machine learning and hydrological models is a promising direction for future water resource assessment in cold regions.

For a better understanding of the water cycle in cold regions, this Special Issue aims to publish research based on how remote sensing big data helps to monitor the water resources in cold regions. Articles may address, but are not limited, to the following topics:

• Remote sensing in monitoring cryosphere elements such as glaciers, snow, frozen ground, and lake/river ice. Machine learning techniques and data-driven methods are encouraged.
• The application of remote sensing in retrieving water cycle processes such as precipitation, evapotranspiration, discharge, and groundwater in cold regions.
• Methods fusing remote sensing data and hydrological models, such as parameter calibration, validation, and data assimilation.
• Evaluations of water resources and environmental effects in cold regions using remote sensing data or a combination with a hydrological model.

Prof. Dr. Hongyi Li
Prof. Dr. Xiaohua Hao
Prof. Dr. Youhua Ran
Prof. Dr. Pengfeng Xiao
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-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.