[HTML][HTML] Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover map**: A systematic review
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
[HTML][HTML] Spatiotemporal fusion of multisource remote sensing data: Literature survey, taxonomy, principles, applications, and future directions
Satellite time series with high spatial resolution is critical for monitoring land surface
dynamics in heterogeneous landscapes. Although remote sensing technologies have …
dynamics in heterogeneous landscapes. Although remote sensing technologies have …
Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery
P Thanh Noi, M Kappas - Sensors, 2017 - mdpi.com
In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …
Spatio-temporal fusion for daily Sentinel-2 images
Abstract Sentinel-2 and Sentinel-3 are two newly launched satellites for global monitoring.
The Sentinel-2 Multispectral Imager (MSI) and Sentinel-3 Ocean and Land Colour …
The Sentinel-2 Multispectral Imager (MSI) and Sentinel-3 Ocean and Land Colour …
Deep learning-based fusion of Landsat-8 and Sentinel-2 images for a harmonized surface reflectance product
Landsat and Sentinel-2 sensors together provide the most widely accessible medium-to-
high spatial resolution multispectral data for a wide range of applications, such as vegetation …
high spatial resolution multispectral data for a wide range of applications, such as vegetation …
A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends
J ** of mangrove forests is a great challenge for remote sensing because …