Special Issue "The Use of Remote Sensing in Hydrology"
A special issue of Water (ISSN 2073-4441).
Deadline for manuscript submissions: closed (28 February 2017)
Dr. Frédéric Frappart
Géosciences Environnement Toulouse, UMR 5563, CNRS/IRD/UPS and Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, UMR 5566, CNES/CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, France
Website | E-Mail
Interests: earth observation; regional/global water cycle; land hydrology; surface water storage; terrestrial water storage
Dr. Luc Bourrel
Géosciences Environnement Toulouse, UMR 5563, Université de Toulouse, CNRS-IRD-OMP-CNES, Toulouse, France
Remotely sensed data are nowadays commonly used for regional/global monitoring of hydrological variables including soil moisture, rainfall, water levels, flood extent, evapotranspiration or land water storage and the forcing, the calibration or the assimilation into hydrodynamics or hydrological or hydrometeorological models. In the years to come, recent and future satellite sensors, some of them specifically designed for hydrological purposes, will provide systematic observations of hydrological parameters (e.g., surface and sub-surface storages, and fluxes) at high spatial and temporal resolutions. This will offer new applications for the hydrological community. This Special Issue aims to present reviews and recent advances of general interest in the use of remote sensing for hydrology. Manuscripts can be related to any hydrological reservoir (e.g., surface storage, soil moisture, groundwater, …) or flux (e.g., rainfall, evapotranspiration, discharge, …), the integration of satellite data into hydrological models, and improvements for hydrology that can be expected from future satellite missions.
Dr. Frédéric Frappart
Dr. Luc Bourrel
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. Water 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 1400 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.
- Remotely sensed observations (SAR, multi-spectral/hyperspectral images, passive microwave, satellite altimetry, gravimetry from space)
- surface water (level, extent, discharge)
- rainfall and evapotranspiration
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: Satellite altimetry for inland water - an evaluation of performance from LRM to SAR and SARin
Author: Karina Nielsen, Lars Stenseng, Ole B. Andersen, and Per Knudsen
Affiliation: Technical University of Denmark
Abstract: With the launch of CryoSat-2 in 2010 two new altimeter mode was implemented; SAR and SARIn. The smaller footprint in the along-track direction, due to Delay Doppler methodology, has made it possible to obtain more precise water levels especially in small water bodies. Here we conduct a thorough evaluation of the performance of the SAR and SARIn modes from CryoSat-2 and compare with results from conventional altimetry from Envisat and SARAL/AltiKa. We estimate the precision and compare with in-situ data when possible. The data is evaluated for water bodies of different types and sizes and in different settings.
Title: European Rice Cropland Mapping with Sentinel-1 Data: The Mediterranean Region Case Study
Authors: Duy Nguyen 1, 2, * and Wolfgang Wagner 2
Affiliation: 1 Department of Geodesy and Geoinformation, Vienna University of Technology, Gusshausstrasse 27-29, A-1040 Vienna, Austria; email@example.com; 2 Department of Photogrammetry and Remote Sensing, Hanoi University of Mining and Geology, Hanoi 10000, Vietnam; firstname.lastname@example.org
Abstract: Rice farming is one of the most important activities in the agriculture sector, producing staple food for the majority of the world's growing population. Accurate and up-to-date assessment of the spatial distribution of rice cultivated area is a key factor for all the stakeholders including policy makers, rice farmers and consumers. Timely assessment with high precision is very crucial for water resource management, market prices control and to avoid the humanitarian food crisis. Recently, the Sentinel-1A/B (S-1) satellites carrying a C-band Synthetic Aperture Radar (SAR) sensor were launched by the European Space Agency (ESA) under the fold of the Copernicus programme. The advanced data acquisition capabilities of the S-1 provide a unique opportunity to map and monitor different land cover types including vegetation and croplands with improved spatiotemporal resolution. In this study, the S-1 images were collected during the rice growing season of 2015 covering eight selected test sites in six European countries in the Mediterranean region. Due to the better rice classification capabilities of SAR cross-polarized measurement as compared to co-polarized data, the S-1 cross-polarized (VH) data was used in this investigation to map the rice cropland. The phenological parameters derived from the temporal evaluation of S-1 VH backscatter time series were used as an input to a knowledge-based decision rule binary classifier in order to classify the input data into the rice and non-rice areas. For the accuracy assessment, the classification results were evaluated using multiple regions of interest (ROIs) drawn from high-resolution optical remote sensing (SPOT 5) data and the European CORINE land cover (CLC) 2006, 2012 product. The overall accuracy of more than 80% for all eight study sites was achieved. And S-1 based classification maps show the much more detailed distribution of rice fields compared to the CLC 2012 product. These findings demonstrate the potential and feasibility of using S-1 VH data to develop an operational rice crop monitoring framework at the continental scale.
Keywords: rice mapping, sentinel-1 A, SAR time series, remote sensing
Title: Thermal Remote and Proximal Sensing for Water Quality Monitoring and Assessment
Authors: Ferrara, C.a, b, Lega, M.c, Fusco, G. a, Bishop, P.d and Endreny, T.e,*
Affiliations: a Department of Science and Technologies, University of Naples Parthenope, Centro Direzionale di Napoli - Isola C4 - 80143, Napoli, Italy; email@example.com, firstname.lastname@example.org; b CINFAI (Consorzio Interuniversitario Nazionale per la Fisica delle Atmosfere e delle Idrosfere), Tolentino (MC), Italy; c Department of Engineering, University of Naples Parthenope, Centro Direzionale di Napoli - Isola C4 - 80143, Napoli, Italy; email@example.com; d College of Engineering, University of Rhode Island, 102 Bliss Hall 1 Lippitt Rd , Kingston, RI, USA; firstname.lastname@example.org; e College of Environmental Science and Forestry, SUNY, 402 Baker Labs, 1 Forestry Drive, Syracuse, NY, USA; email@example.com; * Corresponding Author
Abstract: Rapid responses to pollution are important in water resources management, but responses are often delayed when data collection and monitoring methods are unable to rapidly assess multiple water quality parameters across large spatial scales. The objective of this study was to demonstrate proof-of-concept for thermal remote sensing of surface water emissivity for large to small discharges into coastal receiving waters, using the spatial variation in emissivity as an indicator of water quality pollution. Emissivity was derived as a function of radiometric and kinetic temperature data. Radiometric temperature was measured using thermal infrared images from Landsat 8 satellite (~100 m pixel resolution) and rotorcraft and drones (~0.1 m pixel resolution), and kinetic temperature was measured using in-situ sampling. Results from the proof-of-concept application of the new monitoring method demonstrated that spatial variation in image emissivity was a statistically significant predictor of water chemistry parameters such as salinity, chlorophyll a, dissolved oxygen, and turbidity. This study demonstrates the utility of scaling up from drone-captured to Landsat-captured radiometric images to characterize the spatial extent and chemistry of a pollutant plume. This paper provides a rapid and relatively low-cost method for water quality monitoring, available for professional and amateur applications.
Keywords: water quality, coastel environmental monitoring, aerial infrared thermography