Special Issue "New Challenges in Terrestrial Water Storage Estimation"
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".
Deadline for manuscript submissions: 30 June 2023 | Viewed by 141
Interests: satellite gravimetry; remote sensing; data assimilation; land surface and hydrology modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue in Remote Sensing: Recent Advances in Remote Sensing of Soil Moisture
Accurate knowledge of terrestrial water storage (including soil moisture, groundwater, snow, and surface water) is crucial to improve our understanding of the terrestrial water cycle, water scarcity, and land-atmosphere interaction. The remote sensing observations and land surface/ hydrology models have advanced our ability to assess the availability of water and climate/anthropogenic influences. Despite their functionality, the presented challenge is the coarse spatiotemporal resolution and high uncertainty of terrestrial water storage estimates. With these factors in mind, I would like to invite international research communities to discuss the benefits, limitations, and potential improvements of current and upcoming satellite datasets and models, and to submit their recent developments for publication. The Special Issue’s topics include, but are not limited to, the following:
- Accuracy assessment of remote sensing techniques and model simulations for terrestrial water storage.
- Applications of water resource assessment, climate variability, and natural hazards.
- Forecast and hindcast of water storage estimates.
- Resolution enhancement including downscaling and time series reconstruction from statistical and/or machine learning approaches.
- Development of data processing techniques such as filtering and retrieval algorithms.
- Univariate, multivariate data assimilation, or data fusion of remotely sensed observations to improve model simulation accuracy.
- Demonstration of the impact of land–atmospheric interactions on terrestrial hydrology.
Dr. Natthachet Tangdamrongsub
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. Water 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.
- terrestrial water storage
- soil moisture
- surface water
- satellite remote sensing
- hydrology model
- water resources
- resolution enhancement
- data fusion
- data assimilation
- accuracy assessment
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.
Title: Deformation of the Earth's surface induced by hydrological loading and tectonic motion derived from GRACE, GPS, and GLDAS measurements in Malaysia
Authors: Nur Adilla Zulkifli, Ami Hassan Md Din, Natthachet Tangdamrongsub, and Brian Bramanto
Affiliation: Universiti Teknologi Malaysia, Johor Bahru, Malaysia