scholarly journals Synthetic Aperture Radar and Optical Mapping Used to Monitor Change and Replacement of Phragmites australis Marsh in the Lower Mississippi River Delta, Louisiana

2021 ◽  
Author(s):  
Elijah W. Ramsey III ◽  
Amina Rangoonwala
Keyword(s):  
Synthetic Aperture Radar ◽  
Phragmites Australis ◽  
Mississippi River ◽  
Optical Mapping ◽  
River Delta ◽  
Synthetic Aperture ◽  
Mississippi River Delta ◽  
Lower Mississippi River ◽  
Aperture Radar

scholarly journals A Supervised Classification Method for Levee Slide Detection Using Complex Synthetic Aperture Radar Imagery

2016 ◽  
Author(s):  
Ramakalavathi Marapareddy ◽  
James V. Aanstoos ◽  
Nicolas H. Younan
Keyword(s):  
Synthetic Aperture Radar ◽  
Mississippi River ◽  
Slope Instability ◽  
Synthetic Aperture ◽  
Detection Accuracy ◽  
Radar Imagery ◽  
Lower Mississippi River ◽  
Aerial Vehicle ◽  
Sar Imagery ◽  
Aperture Radar

The dynamics of surface and sub-surface water events can lead to slope instability resulting in anomalies such as slough slides on earthen levees. Early detection of these anomalies by a remote sensing approach could save time versus direct assessment. We have implemented a supervised Mahalanobis distance classification algorithm for the detection of slough slides on levees using complex polarimetric Synthetic Aperture Radar (polSAR) data. The classifier output was followed by a spatial majority filter post-processing step which improved the accuracy. The effectiveness of the algorithm is demonstrated using fully quad-polarimetric L-band Synthetic Aperture Radar (SAR) imagery from the NASA Jet Propulsion Laboratory’s (JPL’s) Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR). The study area is a section of the lower Mississippi River valley in the southern USA. Slide detection accuracy of up to 98 percent was achieved, although the number of available slides examples was small.

The Giving Delta- A “Systems Approach” To a Consolidated and Sustainable Lower Mississippi River Delta

2020 ◽  
Author(s):  
Jonathan Hird ◽  
Jeff Shelden ◽  
Tim Denton ◽  
Robert Twilley ◽  
Ioannis Georgiou ◽  
...  
Keyword(s):  
Mississippi River ◽  
Systems Approach ◽  
River Delta ◽  
Mississippi River Delta ◽  
Lower Mississippi River

scholarly journals Understanding the Mississippi River Delta as a Coupled Natural-Human System: Research Methods, Challenges, and Prospects

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1054 ◽  
Author(s):  
Nina Lam ◽  
Y. Xu ◽  
Kam-biu Liu ◽  
David Dismukes ◽  
Margaret Reams ◽  
...  
Keyword(s):  
Mississippi River ◽  
Population Change ◽  
River Delta ◽  
Mississippi River Delta ◽  
Land Loss ◽  
Modeling Framework ◽  
Study Region ◽  
Human System ◽  
Lower Mississippi River ◽  
Coastal Resilience

A pressing question facing the Mississippi River Delta (MRD), like many deltaic communities around the world, is: Will the system be sustainable in the future given the threats of sea level rise, land loss, natural disasters, and depleting natural resources? An integrated coastal modeling framework that incorporates both the natural and human components of these communities, and their interactions with both pulse and press stressors, is needed to help improve our understanding of coastal resilience. However, studying the coastal communities using a coupled natural-human system (CNH) approach is difficult. This paper presents a CNH modeling framework to analyze coastal resilience. We first describe such a CNH modeling framework through a case study of the Lower Mississippi River Delta in coastal Louisiana, USA. Persistent land loss and associated population decrease in the study region, a result of interplays between human and natural factors, are a serious threat to the sustainability of the region. Then, the paper describes the methods and findings of three studies on how community resilience of the MRD system is measured, how land loss is modeled using an artificial neural network-cellular automata approach, and how a system dynamic modeling approach is used to simulate population change in the region. The paper concludes by highlighting lessons learned from these studies and suggesting the path forward for analysis of coupled natural-human systems.

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