Future sea-level rise and its early detection by satellite remote sensing

1987 ◽  
Vol 18 (1-4) ◽  
pp. 23-40 ◽  
Author(s):  
Robert H. Thomas
Keyword(s):  
Remote Sensing ◽  
Early Detection ◽  
Sea Level Rise ◽  
Sea Level ◽  
Satellite Remote Sensing

scholarly journals Satellite remote sensing to monitor mangrove forest resilience and resistance to sea level rise

2018 ◽  
Vol 9 (8) ◽  
pp. 1837-1852 ◽  
Author(s):  
Clare Duncan ◽  
Harry J. F. Owen ◽  
Julian R. Thompson ◽  
Heather J. Koldewey ◽  
Jurgenne H. Primavera ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sea Level Rise ◽  
Sea Level ◽  
Satellite Remote Sensing ◽  
Mangrove Forest ◽  
Forest Resilience

scholarly journals Impact of sea level rise and shoreline changes in the tropical island ecosystem of Andaman and Nicobar region, India

2021 ◽  
Author(s):  
mageswaran thangaraj ◽  
Sachithanandam V ◽  
Sridhar R ◽  
Manik Mahapatra ◽  
R Purvaja ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sea Level Rise ◽  
Sea Level ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Andaman Island ◽  
Shoreline Changes ◽  
Digital Elevation ◽  
Analysis System ◽  
Elevation Model

Abstract We report here a four decades of shoreline changes and possible sea level rise (SLR) impact on landuse/landcover (LULC) in Little Andaman Island by using remote sensing (RS) and GIS techniques. A total of six remote sensing data sets covering years between 1976 and 2018 were used to understand the shoreline changes. Moreover, a Digital Shoreline Analysis System (DSAS) was used to estimate short- and long- term shoreline changes from ArcGIS environment. Besides, the Island vulnerability due to SLR was studied through using digital elevation model (DEM). As a result of Sumatra earthquake (2004), the results were showed a significant variation in shorline upliftment and subsidence. The land subsidence was noticed in the range of 1042-3077 ha with sea level rise between 1 and 5 m. Hence, we conclude that Little Andaman Island is vulnerable to SLR and overwhelm low elvation coastal zone.

scholarly journals Application of remote sensing and GIS for assessing the level of change of land use status in the coast of Ngoc Hien district (Ca Mau province) due to the impact of sea level rise

2019 ◽  
Vol 19 (3B) ◽  
pp. 227-237
Author(s):  
Pham Viet Hong ◽  
Tran Anh Tuan ◽  
Nguyen Thi Anh Nguyet
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Land Use ◽  
Natural Disasters ◽  
Sea Level Rise ◽  
Sea Level ◽  
Human Life ◽  
Regional Scale ◽  
Great Influence ◽  
The Impact

Today, environmental hazards and challenges are no longer confined to the national or regional scale but on the global scale. One of the biggest challenges for humanity is the natural disasters, global warming and sea level rise. The natural disasters causing serious consequences for human life, such as: Storms, floods, earthquakes, tsunamis, desertification, high tides... increase in frequency, intensity and scale. In recent years, Ca Mau province as well as coastal provinces of Vietnam is under great influence due to the impacts of climate change. One of the most affected districts in Ca Mau province is Ngoc Hien district. The district has a geographic location with three sides bordering the sea, one side bordering the river, a completely isolated terrain. The terrain is flat, strongly divided by the system of natural rivers and canals and intertwined canals, so it is constantly flooded by the sea. Ngoc Hien district is characterized by a sub-equatorial monsoon climate, directly affected by irregular semi-diurnal regime. The main purpose of the paper is to assess coastal vulnerability due to the impact of climate change over time with GIS-based remote sensing images. Remote sensing data with multi-time characteristics, collected in many periods and covering a wide area is an effective tool for monitoring shoreline fluctuations in particular and land use status of the study area in general.

scholarly journals Harnessing Remote Sensing Derived Sea Level Rise Models to Assess Cultural Heritage Vulnerability: A Case Study from the Northwest Atlantic Ocean

2020 ◽  
Vol 12 (22) ◽  
pp. 9429
Author(s):  
Meghan C. L. Howey
Keyword(s):  
Remote Sensing ◽  
Atlantic Ocean ◽  
Cultural Heritage ◽  
Sea Level Rise ◽  
Sea Level ◽  
Heritage Tourism ◽  
Relative Sea Level ◽  
Northwest Atlantic ◽  
Heritage Sites ◽  
Relative Sea Level Rise

Climate change threatens cultural heritage across the globe. Of its varied impacts, sea level rise is critically pressing because of the long relationship between humans and the ocean. Numerous cultural heritage sites lie on the world’s fragile coasts. Identifying cultural heritage sites at risk is an urgent need, but archaeological research programs do not always have the resources available to conduct large-scale cultural heritage vulnerability assessments. Given sea level rise poses myriad pressing issues, entities around the globe are developing sea level rise models for various management purposes (ecology, hydrology, real estate, etc.). These remote sensing-derived sea level rise models can be harnessed by archaeologists to assess cultural heritage site vulnerability. Here, such an analysis is realized for a northwest Atlantic Ocean coastal area experiencing relative sea level rise and with robust cultural heritage, including economically significant maritime heritage tourism. Combining archaeological and historic geospatial databases with LIDAR (Light Detection and Ranging)-derived relative sea level rise models illuminates coastal New Hampshire’s cultural heritage vulnerability. This is informative for risk monitoring, mitigation, and preservation planning, especially for cultural heritage tourism. The analysis also raises the need for discussions around what kind and whose heritage gets priority in planning for future sea level rise impacts.

scholarly journals Evaluation of Marsh Terraces for Wetland Restoration: A Remote Sensing Approach

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 336
Author(s):  
Raúl J. Osorio ◽  
Anna Linhoss ◽  
Padmanava Dash
Keyword(s):  
Remote Sensing ◽  
Sea Level Rise ◽  
Sea Level ◽  
Wetland Restoration ◽  
Sediment Supply ◽  
Channel Density ◽  
Fields Of Study ◽  
Marsh Area ◽  
Restoration Technique ◽  
Performance Results

Marsh terracing is a wetland restoration technique that is being implemented in the northern Gulf of Mexico. Marsh terraces are segmented berms of soil built within shallow coastal ponds, designed to increase marsh area and reduce wave energy. Approximately 980 linear km of marsh terraces have been constructed over almost 30 years in Louisiana and Texas to combat subsidence and sea-level rise; however little research has been conducted to determine their effectiveness. The objective of this study was to assess marsh terrace performance. The change in marsh terrace areas was measured over time through remote sensing. This analysis was conducted using one-meter resolution imagery from the National Agriculture Imagery program (NAIP) from 2003 until 2017 from five Louisiana coastal parishes. Twenty terrace fields of study between 10 and 14 years old were randomly selected within each parish. Results show more predominant deposition (55%) than erosion (45%) in marsh terraces. Terrace fields with high channel density and thereby an external sediment supply show more deposition compared to low channel density fields. This is the first study assessing multiple marsh terrace fields performance. Results are promising, especially considering the current rate of sea level rise and subsidence in Louisiana.

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