Coupled geomorphic and habitat response to a flood pulse revealed by remote sensing

Ecohydrology ◽  
2017 ◽  
Vol 10 (5) ◽  
pp. e1845 ◽  
Author(s):  
Lee R. Harrison ◽  
Andrew Pike ◽  
David A. Boughton
Keyword(s):  
Remote Sensing ◽  
Flood Pulse ◽  
Habitat Response

scholarly journals Analysis of flood pulse dynamics in the lower basin of the San Pedro River (northwestern Mexico) using remote sensing

2016 ◽  
Vol 44 (2) ◽  
pp. 293-304 ◽  
Author(s):  
Rafael Hernandez Guzman ◽  
Arturo Ruiz Luna ◽  
Cesar A. Berlanga Robles ◽  
Jesus T. Ponce Palafox
Keyword(s):  
Remote Sensing ◽  
Flood Pulse ◽  
San Pedro River ◽  
Pulse Dynamics ◽  
San Pedro ◽  
Northwestern Mexico

scholarly journals ANALYSIS OF THE TONLE SAP FLOOD PULSE BASED ON REMOTE SENSING: HOW MUCH DOES TONLE SAP LAKE AFFECT THE MEKONG RIVER FLOOD?

2018 ◽  
Vol XLII-3 ◽  
pp. 1461-1465
Author(s):  
W. Qu ◽  
N. Hu ◽  
J. Fu ◽  
J. Lu ◽  
H. Lu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Time Lag ◽  
Economic Value ◽  
Water Storage ◽  
Remote Sensing Data ◽  
Flood Pulse ◽  
Mekong River ◽  
Lake Surface ◽  
Tonle Sap Lake ◽  
Tonle Sap

The economic value of the Tonle Sap Lake Floodplain to Cambodia is among the highest provided to a nation by a single ecosystem around the world. The flow of Mekong River is the primary factor affecting the Tonle Sap Lake Floodplain. The Tonle Sap Lake also plays a very important role in regulating the downstream flood of Mekong River. Hence, it is necessary to understand its temporal changes of lake surface and water storage and to analyse its relation with the flood processes of Mekong River. Monthly lake surface and water storage from July 2013 to May 2014 were first monitored based on remote sensing data. The relationship between water surface and accumulative water storage change was then established. In combination with hydrological modelling results of Mekong River Basin, the relation between the lake’s water storage and the runoff of Mekong River was analysed. It is found that the water storage has a sharp increase from September to December and, after reaching its maximum in December, water storage quickly decreases with a 38.8&amp;thinsp;billion&amp;thinsp;m<sup>3</sup> of drop in only half month time from December to January, while it keeps rather stable at a lower level in other months. There is a two months’ time lag between the maximum lake water storage and the Mekong River peak flood, which shows the lake’s huge flood regulation role to downstream Mekong River. It shows that this remote sensing approach is feasible and reliable in quantitative monitoring of data scarce lakes.

Phased Arrays for Radio Astronomy, Remote Sensing, and Satellite Communications

2018 ◽  
Author(s):  
Karl F. Warnick ◽  
Rob Maaskant ◽  
Marianna V. Ivashina ◽  
David B. Davidson ◽  
Brian D. Jeffs
Keyword(s):  
Remote Sensing ◽  
Radio Astronomy ◽  
Phased Arrays ◽  
Satellite Communications

Hyperspectral Imaging Remote Sensing

2016 ◽  
Author(s):  
Dimitris Manolakis ◽  
Ronald Lockwood ◽  
Thomas Cooley
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Imaging
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