scholarly journals Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning

Data ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 46 ◽  
Author(s):  
Elizabeth Burke Watson ◽  
LeeAnn Haaf ◽  
Kirk Raper ◽  
Erin Reilly
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Coastal Wetlands ◽  
Digital Elevation Models ◽  
Coastal Areas ◽  
Search Window ◽  
Marsh Vegetation ◽  
Data Publication ◽  
The Poor ◽  
Digital Elevation

Digital elevation models (DEMs) based on LiDAR surveys provide critical information for predicting the vulnerability of coastal areas to sea-level rises. Due to the poor penetration of LiDAR pulses in marsh vegetation, bare-earth DEMs for coastal wetlands are often subject to positive elevation bias, and thus underestimate vulnerability. This data publication includes comprehensive elevation surveys from seven coastal wetlands in coastal New Jersey, and an evaluation of the accuracy and positive elevation bias of each publically available DEM. Resampling the DEMs at a coarser resolution, replacing cell values using the minimum value in a wider search window (4 m), removed this positive elevation bias with no loss of accuracy.

scholarly journals Assessing the impact of sea level rise on port operability using LiDAR-derived digital elevation models

2019 ◽  
Vol 232 ◽  
pp. 111318 ◽  
Author(s):  
Vicente Gracia ◽  
Joan Pau Sierra ◽  
Marta Gómez ◽  
Mónica Pedrol ◽  
Sara Sampé ◽  
...  
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Digital Elevation Models ◽  
Digital Elevation ◽  
The Impact

scholarly journals Coastal wetlands can be saved from sea level rise by recreating past tidal regimes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mahmood Sadat-Noori ◽  
Caleb Rankin ◽  
Duncan Rayner ◽  
Valentin Heimhuber ◽  
Troy Gaston ◽  
...  
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Coastal Wetlands ◽  
Environmental Crisis ◽  
Ground Vegetation ◽  
Proof Of Concept ◽  
Tidal Regime ◽  
Vegetation Sampling ◽  
Global Environmental ◽  
Intertidal Ecosystems

AbstractClimate change driven Sea Level Rise (SLR) is creating a major global environmental crisis in coastal ecosystems, however, limited practical solutions are provided to prevent or mitigate the impacts. Here, we propose a novel eco-engineering solution to protect highly valued vegetated intertidal ecosystems. The new ‘Tidal Replicate Method’ involves the creation of a synthetic tidal regime that mimics the desired hydroperiod for intertidal wetlands. This synthetic tidal regime can then be applied via automated tidal control systems, “SmartGates”, at suitable locations. As a proof of concept study, this method was applied at an intertidal wetland with the aim of restabilising saltmarsh vegetation at a location representative of SLR. Results from aerial drone surveys and on-ground vegetation sampling indicated that the Tidal Replicate Method effectively established saltmarsh onsite over a 3-year period of post-restoration, showing the method is able to protect endangered intertidal ecosystems from submersion. If applied globally, this method can protect high value coastal wetlands with similar environmental settings, including over 1,184,000 ha of Ramsar coastal wetlands. This equates to a saving of US$230 billion in ecosystem services per year. This solution can play an important role in the global effort to conserve coastal wetlands under accelerating SLR.

Delineating soil landscape facets from digital elevation models using compound topographic index in a geographic information system

Soil Research ◽  
2007 ◽  
Vol 45 (8) ◽  
pp. 569 ◽  
Author(s):  
X. Yang ◽  
G. A. Chapman ◽  
J. M. Gray ◽  
M. A. Young
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Land Use Planning ◽  
Digital Elevation Models ◽  
Geographic Information ◽  
Coastal Areas ◽  
Topographic Index ◽  
Digital Elevation ◽  
Soil Landscape ◽  
Compound Topographic Index

Soil landscapes and their component facets (or sub-units) are fundamental information for land capability assessment and land use planning. The aim of the study was to delineate soil landscape facets from readily available digital elevation models (DEM) to assist soil constraint assessment for urban and regional planning in the coastal areas of New South Wales (NSW), Australia. The Compound Topographic Index (CTI) surfaces were computed from 25 m DEM using a D-infinity algorithm. The cumulative frequency distribution of CTI values within each soil landscape was examined to identify the values corresponding to the area specified for each unmapped facet within the soil landscape map unit. Then these threshold values and CTI surfaces were used to generate soil landscape facet maps for the entire coastal areas of NSW. Specific programs were developed for the above processes in a geographic information system so that they are automated, fast, and repeatable. The modelled facets were assessed by field validation and the overall accuracy reached 93%. The methodology developed in this study has been proven to be efficient in delineating soil landscape facets, and allowing for the identification of land constraints at levels of unprecedented detail for the coast of NSW.

scholarly journals ASSESSMENT OF SUSCEPTIBILITY TO SΕA-LΕVEL RISE IN THE COASTAL AREA OF PIERIA PREFECTURE

2017 ◽  
Vol 50 (3) ◽  
pp. 1721
Author(s):  
A. Mavromatidi ◽  
E. Karymbalis
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Accretion Rate ◽  
Vulnerability Index ◽  
Coastal Areas ◽  
Tidal Range ◽  
Coastal Vulnerability Index ◽  
Economic Significance ◽  
Very High

Tourism development in Greece has led to increasing pressure on coastal areas, which makes the study of sensitive coastal areas essential, in order to find appropriate solutions for their shielding. The aim of this study is an estimation of the effects of an anticipated sea level rise for the touristically developed part of Pieria Prefecture, which includes the settlements Paralia, Skala of Katerini, Olympic Beach, Korinos Beach and extends north to the area of the Kitrous saltworks and south to the mouth of Mavroneri river. Therefore the Coastal Vulnerability Index (CVI) is applied, in an attempt to determine the susceptible parts to the potential sea level rise. CVI depends on the following parameters: (a) coastal geomorphology, (b) coastal slope, (c) shoreline erosion/accretion rate, (d) relative sea-level rise fluctuations, (e) mean tidal range and (f) mean significant wave height. The classification of the coast, which is of particular socio-economic significance since it hosts urbanized areas, into five CVI classes (from very low vulnerability to very high vulnerability), showed that 43.6% of the entire coastline is of very high vulnerability. 

Using LiDAR Topographic Data for Identifying Coastal Areas of Northern France Vulnerable to Sea-Level Rise

2016 ◽  
Vol 75 (sp1) ◽  
pp. 1067-1071 ◽  
Author(s):  
Adrien Crapoulet ◽  
Arnaud Héquette ◽  
Franck Levoy ◽  
Patrice Bretel
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Coastal Areas ◽  
Topographic Data ◽  
Northern France
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