Special Issue "Satellite Remote Sensing for Water Resources in a Changing Climate"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 31 January 2018
Dr. George P. Petropoulos
Department of Geography and Earth Sciences, University of Aberystwyth, Old College, King Street Llandinam Building, Room H4 Aberystwyth, Ceredigion SY23 3DB, UK
Website | E-Mail
Interests: Earth Observation; GIS; multi- and hyper- spectral remote sensing; land use/cover mapping; change detection; natural hazards; fires; floods; land surface interactions; evapotranspiration; soil moisture; land surface temperature; land biosphere modelling; Soil Vegetation Atmosphere Transfer (SVAT) models; EO algorithms benchmarking; sensitivity analysis
Dr. Prashant K. Srivastava
Hydrological Sciences, NASA GSFC, Greenbelt, Maryland, USA and IESD, Banaras Hindu University, Varanasi, India
Website | E-Mail
Interests: microwave active and passive; optical/IR; hydrology; soil moisture; sensitivity and uncertainty analysis; artificial intelligence; geospatial technology; classification methods; simulation and modelling
Prof. Guangsheng Zhou
State Key Laboratory of Vegetation and Environmental Change (LVEC), The Institute of Botany, the Chinese Academy of Sciences, No.20 Nanxincun, Xiangshan, No.46, Zhongguancun South Street, Beijing 100093, China
Website | E-Mail
Interests: plant and crop ecology; crop drought and irrigation; vegetation water stress; net primary productivity; plant biodiversity; multi-temporal remote sensing; multi-spectral; hyper-spectral
Water is one of the most important substances on Earth. It is a key variable in Earth’s hydrological cycle for water and energy exchanges that occur at the land–surface/atmosphere interface, and is responsible for the evolution of weather and climate over continental regions. Information on our planet’s water resources is indispensable to a number of practical applications related to both society and ecosystems. Globally, the monitoring of the Earth’s water resources has developed into a very important and urgent research direction, especially in the face of climate change.
However, the amount of water available throughout the world is already limited, and demand will continue to rise as population grows. In this context, there is a growing need to monitor and obtain a better understanding of its use, which will provide information that can assist towards the development of effective water management strategies and infrastructures. This can be of crucial importance, particularly to regions on which the amount of water available is limited.
Water resource modeling and management includes the activity of planning, developing, distributing and managing the optimum use of water resources in a simplistic manner. As compared to other natural resources, modeling and management of water is complicated in practice. The use of satellites for the management of water can play an important role in the future of water resources. The launch of Earth Observation (EO) sensors from advanced satellites, such as SMOS, Landsat 8, Sentinel-2/3, GCOM-W1, SMAP, GPM, TRMM, etc. has the potential to reshape the water world. These instruments provide necessary data that can make up for the lack of on-the-ground monitoring of water resources around the world.
Therefore, the main aim of this Special Issue is to foster advances in EO technology for water resources management with the scope of flood, drought, irrigation, soil moisture retrieval, algorithms development, operational products benchmarking, precipitation, modelling and applications. In particular, submission of article exploring the use of New Earth Observation missions providing data at all the different regions of the electromagnetic spectrum are highly encouraged. Both applied EO technology to water resources management implementation and models’ or algorithms’ related scientific investigations are encouraged.
Consequently, topics of interest to the Special Issue may include, but are not limited to, the following:
- Multi-spectral imagery
- Hyper-spectral imagery
- Thermal infrared imagery
- SAR processing
- Time series analysis
- Soil moisture mapping
- Vegetation Water stress
- Crop Drought and irrigation
- Water Use Efficiency
- Yield mapping
- Decision support systems
- Meteorological disaster risk management
- Early warning systems for agrometerological hazards.
- Agro-informatics and agricultural water management
- Groundwater level monitoring
- Natural disasters management, e.g., floods and droughts
Authors are required to check and follow the specific Instructions to Authors, http://www.mdpi.com/journal/remotesensing/instructions.
Dr. George P. Petropoulos
Dr. Guangsheng Zhou
Dr. Prashant Srivastava
Dr. Simonetta Paloscia
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 papers will be 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 monthly 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 1600 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.