Marine plastic pollution detection and identification by using remote sensing-meta analysis
The persistent plastic litter, originating from different sources and transported from rivers to
oceans, has posed serious biological, ecological, and chemical effects on the marine …
oceans, has posed serious biological, ecological, and chemical effects on the marine …
Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain)
This paper shows the first comparison between data from Sentinel-2 (S2) Multi Spectral
Instrument (MSI) and Landsat 8 (L8) Operational Land Imager (OLI) headed up to …
Instrument (MSI) and Landsat 8 (L8) Operational Land Imager (OLI) headed up to …
Investigating Sentinel 2 multispectral imagery efficiency in describing spectral response of vineyards covered with plastic sheets
The protection of vineyards with overhead plastic covers is a technique largely applied in
table grape growing. As with other crops, remote sensing of vegetation spectral reflectance …
table grape growing. As with other crops, remote sensing of vegetation spectral reflectance …
Combining ad hoc spectral indices based on LANDSAT-8 OLI/TIRS sensor data for the detection of plastic cover vineyard
In this article, we are proposing a method using Landsat-8 Operational Land Imager and
Thermal Infrared Sensor data for agricultural plastic cover detection. Four normalized …
Thermal Infrared Sensor data for agricultural plastic cover detection. Four normalized …
Automatic detection of marine litter: a general framework to leverage synthetic data
M Nagy, L Istrate, M Simtinică, S Travadel, P Blanc - Remote Sensing, 2022 - mdpi.com
The spatial and temporal coverage of spaceborne optical imaging systems are well suited
for automated marine litter monitoring. However, develo** machine learning-based …
for automated marine litter monitoring. However, develo** machine learning-based …
AssesSeg—A command line tool to quantify image segmentation quality: A test carried out in southern spain from satellite imagery
This letter presents the capabilities of a command line tool created to assess the quality of
segmented digital images. The executable source code, called AssesSeg, was written in …
segmented digital images. The executable source code, called AssesSeg, was written in …
Improving the ANN classification accuracy of landsat data through spectral indices and linear transformations (PCA and TCT) aimed at LU/LC monitoring of a river …
In this paper an efficient Artificial Neural Networks (ANN) classification method based on
LANDSAT satellite data is proposed, studying the Cervaro river basin area (Foggia, Italy) …
LANDSAT satellite data is proposed, studying the Cervaro river basin area (Foggia, Italy) …
Detection of spatio-temporal changes of vegetation in coastal areas subjected to soil erosion issue
A Capolupo, M Saponaro… - Aquatic …, 2020 - scholarlypublishingcollective.org
Coastal soil erosion can be recognized as the most alarming environmental issue since,
causing shoreline retreat, reduces the area available for plant habitat survival, highly …
causing shoreline retreat, reduces the area available for plant habitat survival, highly …
[PDF][PDF] Automatic Detection of Marine Litter: A General Framework to Leverage Synthetic Data. Remote Sens. 2022, 14, 6102
M Nagy, L Istrate, M Simtinica, S Travadel, P Blanc - 2022 - pdfs.semanticscholar.org
The spatial and temporal coverage of spaceborne optical imaging systems are well suited
for automated marine litter monitoring. However, develo** machine learning-based …
for automated marine litter monitoring. However, develo** machine learning-based …