Special Issue "Advances in Remote Sensing of Flooding"
A special issue of Water (ISSN 2073-4441).
Deadline for manuscript submissions: 31 March 2014
Prof. Dr. Yong Wang
1 School of Resources and Environment, University of Electronic Science and Technology of China, 2006 Xiyuan Road, Gaoxin Western District, Chengdu, Sichuan 611731, China; E-Mail: email@example.com
2 Department of Geography, East Carolina University, Greenville, NC 27858, USA
Interests: coastal shoreline and shoreline change; flood and wetland mapping; remote sensing and GIScience applications; and simulation and assessment of large-scale reservoirs and environmental systems
After Hurricane Sandy made landfall in the early morning of 30 October 2012 near New Jersey and New York areas, USA flooding caused by the storm has been documented by ground pictures, aerial photos, and satellite images. These remotely sensed data have been saturated TV and computer screens. In response to a flooding event, it is important quickly to predict and to determine the extent of flooding and landuse type under the floodwater. As observed from news media/TV, the mayor of New York City retracted his order from not a big deal event to an extremely dangerous one in less than 24 hours related Sandy. His ultimate order to evacuate has saved thousands of lives. Therefore, as humans are facing the ever-changing environments and advancing the science and technology especially remote sensing, we as scientists are equipped with advanced knowledge and sophistical instruments/tools, and we are obligated to predict and to capture the extent of flooding in an efficient and effective manner. This type of information is essential to our leaders and emergency responders, as well as concerned public. Access of such critical information can greatly assist comprehensive preparation, emergency response, and relief activity. This is the call for papers that study and document the advances in mapping a flood event using primarily remote sensing technique and datasets.
Prof. Dr. Yong Wang
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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.
- flood and wetland mapping, and damage assessment
- flood and mitigation activities
- integration of geo-spatial and remotely sensed datasets in flood mapping
- remote sensing and GIScience applications in mapping a flood event
- remote sensing and hydrological and hydraulic modeling for a flood event, and
- visualization and analysis of geo-spatial and remote sensing datasets for a flood event
Article: Wetland Monitoring Using the Curvelet-Based Change Detection Method on Polarimetric SAR Imagery
Water 2013, 5(3), 1036-1051; doi:10.3390/w5031036
Received: 25 April 2013; in revised form: 3 June 2013 / Accepted: 1 July 2013 / Published: 11 July 2013| Download PDF Full-text (9880 KB) | View HTML Full-text | Download XML Full-text
Water 2013, 5(4), 1533-1560; doi:10.3390/w5041533
Received: 29 July 2013; in revised form: 11 September 2013 / Accepted: 12 September 2013 / Published: 30 September 2013| Download PDF Full-text (15054 KB) | View HTML Full-text | Download XML Full-text
Article: An Approach Using a 1D Hydraulic Model, Landsat Imaging and Generalized Likelihood Uncertainty Estimation for an Approximation of Flood Discharge
Water 2013, 5(4), 1598-1621; doi:10.3390/w5041598
Received: 31 July 2013; in revised form: 23 September 2013 / Accepted: 24 September 2013 / Published: 7 October 2013| Download PDF Full-text (2858 KB)
Last update: 25 July 2013