Special Issue "Remote Sensing of Water Resources Vulnerability"
Deadline for manuscript submissions: 10 January 2024 | Viewed by 7164
Interests: remote sensing; water cycle; carbon cycle; wetlands
Special Issues, Collections and Topics in MDPI journals
Special Issue in Remote Sensing: Satellite Altimetry for Earth Sciences
Special Issue in Remote Sensing: Remote Sensing of Hydrological Extremes
Special Issue in Water: Applications of Remote Sensing and GIS in Hydrology
Special Issue in Sensors: Satellite Remotely Sensed Soil Moisture
Special Issue in Water: Applications of Remote Sensing and GIS in Hydrology II
Special Issue in Remote Sensing: Radar Based Water Level Estimation
Special Issue in Remote Sensing: The Impact of Extreme Climatic and Disturbance Events on Vegetation Using Remote Sensing
Special Issue in Remote Sensing: Advances of Remote Sensing and GIS Technology in Surface Water Bodies
Special Issue in Remote Sensing: Spatial or Temporal Analysis of Soil Moisture from Space
Special Issue in Remote Sensing: Recent Advantages in Monitoring Inland Water Using Various Sources of Remote Sensing Imagery from Space
Interests: hydroclimatology; water cycle; wetlands; extreme events; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; SAR; wetlands; environment
Interests: remote sensing; surface water; groundwater; environmental sciences; environment monitoring; bibliometric analysis
Water is an essential resource for ecosystems, human life, and anthropogenic activities. In recent years, pressure on water resources has strongly increased, leading to the reduction of surface water storage and the depletion of aquifers worldwide. Current (e.g., satellite images, radar and lidar altimetry, GRACE) and future (e.g., SWOT, THRISHNA, ….) Earth Observation missions have a strong potential for better monitoring the different components of the terrestrial water cycle and, hence, characterizing the vulnerability of water resources at different spatial and temporal scales.
This Special Issue aims to present reviews and recent advances of general interest in the use of remote sensing observations for the characterization of the vulnerability of water resources in the context of global change including climate change, anthropogenic factors, and their feedback.
Manuscripts can be related to any aspect of water resource vulnerability using satellite or AUV observations. They could be related to either new methodological developments or new advances in sensors or original studies related to water resources vulnerability from local to global scales.
Dr. Frédéric Frappart
Dr. Luc Bourrel
Dr. Thibault Catry
Dr. Pham-Duc Binh
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.
- surface water
- surface and root-zone soil moisture
- vulnerability indices
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: Towards a Weatherless Agricultural Soil Moisture Retrieval using Sentinel-1 Images
Authors: Nicolas Baghdadi
Affiliation: French National Institute for Agriculture, Food, and Environment (INRAE), Maison de la télédétection – UMR TETIS, 500 rue JF Breton, CEDEX 05, 34093 Montpellier, France
Abstract: In remote sensing, soil moisture maps are essential for hydrological, agricultural and risk assessment applications. To best meet these requirements, it is essential to develop soil moisture products that provide a high spatial resolution, which has been made possible with the advent of free Sentinel data that offer both high spatial and temporal resolutions. By accurately estimating soil moisture, our proposed approach can help inform irrigation, yield and crop management decisions. It can also support risk assessment such as flood forecasting and water resource management efforts. This article presents our improved and fully automated solution for high-resolution soil moisture mapping in agricultural areas. Our proposed technique uses neural network algorithms. The neural networks were trained using synthetic data generated by the modified IEM model and validated on real data from two study sites. Previous soil moisture retrieval techniques relied on the use of a priori information based on meteorological data in order to increase the precision of soil moisture estimates, which required access to a weather forecasting framework. Our solution derives this a priori information from the original Sentinel images, thus bypassing the need for a weather forecasting framework while giving slightly better precisions.