With a higher repeat-pass cycle than RADARSAT-2, RCM is expected to be a reliable source of C-band SAR data that will contribute positively to ongoing efforts�...
Jun 17, 2024 � With a higher repeat-pass cycle than RADARSAT-2, RCM is expected to be a reliable source of C-band SAR data that will contribute positively to�...
Wetland Classification with Multi-Angle/Temporal SAR Using Random Forests � Remote Sensing, March 2019 � 10.3390/rs11060670 � Sarah Banks, Lori White, Amir�...
Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band ... Mapping seasonal flooding in forested wetlands using multi-temporal Radarsat SAR.
A patch-based cascade forest (PBC) method is proposed in this paper, which combines multi-temporal, full-polarization GF-3 SAR data to map typical ground�...
In this study, a two-step classification procedure was developed for classifying typical coastal plain wetlands from multi-temporal Advanced Land Observing�...
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This paper reviews the last 40 years of research and development on North American wetland classification through remote sensing methods.
The focus of this study is to evaluate a methodology for large-scale and highly automated wetland mapping based on current EO data streams. For this purpose, an�...
Dec 9, 2023 � This research compares the random forest (RF) and support vector machine (SVM) algorithms, employing Sentinel-1 dual polarimetric C-band data and Sentinel-2�...
This study hypothesizes that seasonal synthetic aperture radar (SAR) and optical imagery will capture temporal variations of wetlands in the spring/summer and�...