The detection and prediction of sea level changes on coastal wetlands using satellite imagery and a geographic information system

1993 ◽  
Vol 8 (4) ◽  
pp. 87-98 ◽  
Author(s):  
John R. Jensen ◽  
David J. Cowen ◽  
John D. Althausen ◽  
Sunil Narumalani ◽  
Oliver Weatherbee
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Sea Level ◽  
Satellite Imagery ◽  
Coastal Wetlands ◽  
Geographic Information ◽  
Sea Level Changes

scholarly journals Prediction of Tsunami Hazard Levels Based on GIS Analysis in South Bengkulu Regency

2020 ◽  
Vol 4 (9) ◽  
pp. 54-57
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Sea Level ◽  
Geographic Information ◽  
Tsunami Hazard ◽  
Gis Analysis ◽  
High Class ◽  
Hazard Levels ◽  
Very High

This study aimed at a prediction of tsunami hazard levels in South Bengkulu Regency, that is calculated based data on sea-level rise, distance from the coastline, distance from the nearest rivers, and beach slope. Measurement is carried out using Geographic Information System (GIS) analysis with overlay techniques and the methods of scoring/weighting. The results showed in South Bengkulu Regency the tsunami hazard levels of very high class 504.65 Km (44.8%), high class 160.77 Km (13.7%), somewhat high class 131.09 Km (11.2%), low class 64.92 Km (5.6 %) and very low class 250.39 Km (21.2%).

scholarly journals Free and Open-Source Software for Geographic Information System on Coastal Management: A Study Case of Sea-Level Rise in Southern Brazil

2021 ◽  
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
Carlos V. C. Weiss ◽  
Volney Bitencourt ◽  
Cristina Bernardes
Keyword(s):  
Climate Change ◽  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Open Source ◽  
Sea Level ◽  
Open Source Software ◽  
Coastal Management ◽  
Geographic Information ◽  
End Point Rate

This work assesses sea-level rise using three different models created on Free and Open-Source Software for Geographic Information System (FOSS4GIS). Based on regional projections of Special Report on Climate Change and Oceans and Cryosphere (SROCC) of the Intergovernmental Panel on Climate Change (IPCC), the models were applied to a case of study on Rio Grande do Sul coast – Brazil under different sea-level rise scenarios by the end of this century. The End Point Rate for QGIS (EPR4Q), calculates a shoreline projection using End Point Rate method. The Uncertainty Bathtub Model (uBTM), analyses the sea-level rise impact by the uncertainty of sea-level projec-tions and vertical error of the Digital Elevation/Terrain Model (DEM/DTM). The Bruun Rule for Google Earth Engine Model (BRGM) predicts the shoreline position with sea-level rise, using topographic and bathymetric data from Unmanned Aerial Vehicles (UAV) and Coastal Modelling System (SMC – Brazil), respectively. The results indicated a maximum shoreline retreat for 2100 of -502 m and -1727 m using EPR4Q and BRGM, correspondingly. The uBTM using the land-use of Mapbiomas showed a maximum of 44.57 km2 of urban area impacted by the sea-level flood. This research highlights the possibility of performing coastal management analysis in GIS environ-ment using non-commercial software.

scholarly journals Unlocking historic landscapes in the Eastern Mediterranean: two pilot studies using Historic Landscape Characterisation

Antiquity ◽  
2010 ◽  
Vol 84 (323) ◽  
pp. 216-229 ◽  
Author(s):  
Sam Turner ◽  
Jim Crow
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Satellite Imagery ◽  
Aerial Photography ◽  
Eastern Mediterranean ◽  
Geographic Information ◽  
Pilot Studies ◽  
First Time ◽  
Historic Landscape ◽  
Insight Into

Historic Landscape Characterisation (HLC) maps landscape with particular reference to its historic character and development. Executed using sources including satellite imagery and aerial photography and presented in a Geographic Information System (GIS), this offers a powerful insight into a landscape story. Here two leading advocates of the approach apply HLC for the first time to historic landscapes in the Eastern Mediterranean.

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