scholarly journals Cartography and remote sensing for coastal erosion analysis

2011 ◽  
Author(s):  
M. Basile Giannini ◽  
P. Maglione ◽  
C. Parente ◽  
R. Santamaria
Keyword(s):  
Remote Sensing ◽  
Coastal Erosion

scholarly journals A NEW IDL IMPLEMENTATION OF THE JUPP METHOD FOR BATHYMETRY EXTRACTION IN SHALLOW WATERS

2016 ◽  
Vol XLI-B7 ◽  
pp. 467-474
Author(s):  
M. Deidda ◽  
A. Pala ◽  
G. Sanna
Keyword(s):  
Remote Sensing ◽  
Coastal Erosion ◽  
Satellite Images ◽  
Landsat Tm ◽  
Shallow Waters ◽  
Depth Information ◽  
Ongoing Effort ◽  
Sensing Platforms ◽  
Current Implementation

There is an ongoing effort in using imagery from remote sensing platforms to obtain information about the sea depth; this allows to monitor the dynamics of coastal erosion without the need for costly and repeated local surveys. We worked on a new implementation of the Jupp method to extract depth information from satellite images. Our software is based on previous implementations of the algorithm in the IDL language, but we made our current implementation more modular in order to make possible experimentations with different approaches. We used this implementation on a series of six images (three from the Landsat TM sensor and three from the Landsat OLI sensor) in order to improve the available tools. We established an iterative workflow for working on the Landat-8 images widely exposed in this paper.

scholarly journals Análise multitemporal da linha de costa da praia de Macapá no litoral do Piauí a partir de imagens Landsat / Multitemporal analysis of the coastline of Macapá beach on the coast of Piauí from Landsat images

2017 ◽  
Vol 27 (1) ◽  
pp. 189
Author(s):  
Érico Rodrigues Gomes ◽  
Inessa Racine Gomes de Araújo
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Coastal Plain ◽  
Human Activities ◽  
Coastal Erosion ◽  
General Tendency ◽  
Coastal Monitoring ◽  
Landsat Images ◽  
Coastal Dynamics ◽  
Landscape Unit

<p>A planície costeira do estado do Piauí tem passado por diversas intervenções em função das atividades naturais e humanas. A zona costeira representa uma unidade de paisagem que mesmo sem apresentar grande ocupação já apresenta indicativos ambientais no que se refere a erosão costeira. A metodologia foi baseada em uma análise de séries temporais de 30 anos (1985 a 2015) através de imagens Landsat para a detecção e variação da linha de costa. Os resultados obtidos indicam que há uma tendência generalizada no processo de avanço das águas oceânicas sobre a linha da costa na praia de Macapá e que está relacionado com a dinâmica costeira e também com o fato de que neste local há intensa carga de sedimentos oriundos do continente, através do trabalho de deposição e transporte dos rios Cardoso e Camurupim, que deságuam no oceano em forma de estuário.</p><p><strong>Palavras–chave:</strong> erosão costeira, monitoramento costeiro, linha de costa, sensoriamento remoto.</p><p><strong>Abstract </strong></p><p>The coastal plain of the state of Piauí has undergone several interventions due to natural and human activities. The coastal zone represents a landscape unit that even without presenting great occupation already presents environmental indicatives with respect to coastal erosion. he methodology was based on a 30-year time series analysis (1985 to 2015) using Landsat images for the detection and variation of the coastline. The results indicate that there is a general tendency in the process of advancing the oceanic waters on the coastline in the beach of Macapá and that is related to the coastal dynamics and also to the fact that in this place there is an intense load of sediments originating from the continent, through the work of deposition and transportation of the rivers Cardoso and Camurupim, that fall into the ocean in the form of estuary.</p><p><strong>Keywords</strong>: coastal erosion, coastal monitoring, coast line, remote sensing.</p>

Coastal erosion assessment using remote sensing and computational numerical model. Case of study: Libertador Bolivar, Ecuador

2021 ◽  
Vol 214 ◽  
pp. 105894
Author(s):  
Sophia Nativí-Merchán ◽  
Rommel Caiza-Quinga ◽  
Ivan Saltos-Andrade ◽  
Carlos Martillo-Bustamante ◽  
Gina Andrade-García ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Numerical Model ◽  
Coastal Erosion ◽  
Model Case

scholarly journals Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 100
Author(s):  
Sanjiwana Arjasakusuma ◽  
Sandiaga Swahyu Kusuma ◽  
Siti Saringatin ◽  
Pramaditya Wicaksono ◽  
Bachtiar Wahyu Mutaqin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Coastal Erosion ◽  
Remote Sensing Data ◽  
Google Earth ◽  
Landsat 8 ◽  
Optical Remote Sensing ◽  
Coastal Regions ◽  
Shoreline Changes ◽  
Sensing Data ◽  
Rates Of Change

Coastal regions are one of the most vulnerable areas to the effects of global warming, which is accompanied by an increase in mean sea level and changing shoreline configurations. In Indonesia, the socioeconomic importance of coastal regions where the most populated cities are located is high. However, shoreline changes in Indonesia are relatively understudied. In particular, detailed monitoring with remote sensing data is lacking despite the abundance of datasets and the availability of easily accessible cloud computing platforms such as the Google Earth Engine that are able to perform multi-temporal and multi-sensor mapping. Our study aimed to assess shoreline changes in East Java Province Indonesia from 2000 to 2019 using variables derived from a multi-sensor combination of optical remote sensing data (Landsat-7 ETM and Landsat-8 OLI) and radar data (ALOS Palsar and Sentinel-1 data). Random forest and GMO maximum entropy (GMO-Maxent) accuracy was assessed for the classification of land and water, and the land polygons from the best algorithm were used for deriving shorelines. In addition, shoreline changes were quantified using Digital Shoreline Analysis System (DSAS). Our results showed that coastal accretion is more profound than coastal erosion in East Java Province with average rates of change of +4.12 (end point rate, EPR) and +4.26 m/year (weighted linear rate, WLR) from 2000 to 2019. In addition, some parts of the shorelines in the study area experienced massive changes, especially in the deltas of the Bengawan Solo and Brantas/Porong river with rates of change (EPR) between −87.44 to +89.65 and −18.98 to +111.75 m/year, respectively. In the study areas, coastal erosion happened mostly in the mangrove and aquaculture areas, while the accreted areas were used mostly as aquaculture and mangrove areas. The massive shoreline changes in this area require better monitoring to mitigate the potential risks of coastal erosion and to better manage coastal sedimentation.

scholarly journals Shoreline Detection using Optical Remote Sensing: A Review

2019 ◽  
Vol 8 (2) ◽  
pp. 75 ◽  
Author(s):  
Seynabou Toure ◽  
Oumar Diop ◽  
Kidiyo Kpalma ◽  
Amadou Maiga
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Comparative Analysis ◽  
Coastal Erosion ◽  
State Of The Art ◽  
Detection Methods ◽  
Optical Remote Sensing ◽  
Processing Methods ◽  
Key Concepts

With coastal erosion and the increased interest in beach monitoring, there is a greater need for evaluation of the shoreline detection methods. Some studies have been conducted to produce state of the art reviews on shoreline definition and detection. It should be noted that with the development of remote sensing, shoreline detection is mainly achieved by image processing. Thus, it is important to evaluate the different image processing approaches used for shoreline detection. This paper presents a state of the art review on image processing methods used for shoreline detection in remote sensing. It starts with a review of different key concepts that can be used for shoreline detection. Then, the applied fundamental image processing methods are shown before a comparative analysis of these methods. A significant outcome of this study will provide practical insights into shoreline detection.

Sign in / Sign up

Export Citation Format

Share Document