Shoreline change assessment in the coastal region of Bangladesh delta using tasseled cap transformation from satellite remote sensing dataset

M Shamsuzzoha, T Ahamed - Remote Sensing, 2023 - mdpi.com
Bangladesh is a global south hotspot due to climate change and sea level rise concerns. It is
a highly disaster-prone country in the world with active deltaic shorelines. The shorelines …

Accuracy evaluation for coastline extraction from Pléiades imagery based on NDWI and IHS pan-sharpening application

E Alcaras, U Falchi, C Parente, A Vallario - Applied Geomatics, 2022 - Springer
Accurate coastline position is of fundamental importance for many applications concerning
coastal zone monitoring, management, and planning. For example, coastal erosion …

Semi-automated semantic segmentation of arctic shorelines using very high-resolution airborne imagery, spectral indices and weakly supervised machine learning …

B Aryal, SM Escarzaga, SA Vargas Zesati… - Remote Sensing, 2021 - mdpi.com
Precise coastal shoreline mapping is essential for monitoring changes in erosion rates,
surface hydrology, and ecosystem structure and function. Monitoring water bodies in the …

[HTML][HTML] On the shoreline monitoring via earth observation: An isoradiometric method

F Caldareri, A Sulli, N Parrino, G Dardanelli… - Remote Sensing of …, 2024 - Elsevier
Shoreline variations, triggered by climate change, eustatism, and tectonic, drive the coastal
landscape evolution over multiple spatial and temporal scales. Among the many different …

Long-term ecological vulnerability assessment of Indian Sundarban region under present and future climatic conditions under CMIP6 model

P Sardar, SR Samadder - Ecological Informatics, 2023 - Elsevier
Vulnerability assessment of ecosystem bestows an idea about the ecosystem health and its
ability to resist environmental stress. Indian Sundarban region situated at the southwest part …

Bathymetry from satellite images: A proposal for adapting the band ratio approach to IKONOS data

FG Figliomeni, C Parente - Applied Geomatics, 2023 - Springer
The acquisition of bathymetric data in shallower waters is difficult to attain using traditional
survey methods because the areas to investigate may not be accessible to hydrographic …

Increasing the effectiveness of active learning: introducing artificial data generation in active learning for land use/land cover classification

J Fonseca, G Douzas, F Bacao - Remote Sensing, 2021 - mdpi.com
In remote sensing, Active Learning (AL) has become an important technique to collect
informative ground truth data “on-demand” for supervised classification tasks. Despite its …

Unsupervised classification based approach for coastline extraction from Sentinel-2 imagery

E Alcaras, PP Amoroso, V Baiocchi… - … on Metrology for the …, 2021 - ieeexplore.ieee.org
Coastline extraction techniques from multispectral satellite images are of great interest for
protection and monitoring of coastal areas. In this regard, the Sentinel-2 satellites can give a …

Coastline Automatic Extraction from Medium-Resolution Satellite Images Using Principal Component Analysis (PCA)-Based Approach

C Parente, E Alcaras, FG Figliomeni - Remote Sensing, 2024 - mdpi.com
In recent decades several methods have been developed to extract coastlines from remotely
sensed images. In fact, this is one of the principal fields of remote sensing research that …

[PDF][PDF] A GIS Procedure to Assess Shoreline Changes over Time Using Multi-temporal Maps: An Analysis of a Sandy Shoreline in Southern Italy over the Last 100 …

M Pepe, D Costantino, VS Alfio - Geomatics and Environmental …, 2023 - bibliotekanauki.pl
The aim of the paper is to identify a methodology capable of assessing shoreline changes
through a geomatic approach based on the use of GIS (Geographic Information System) …