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资源简介：
R-code for seabed classification using functional data analysis and time series clustering
应用场景：
创建时间：
2019-03-26
相关数据集
SupDataDR5A.tab
Supplementary Data DR5: Seafloor substrate data (Jenkins, 2008; A), code used to create predictive model (B), and predictive model (native R format, “.RDS”) applied to OBIS assemblages to assess subst
Mendeley Data2024-03-27 更新60
Single beam survey data consisting of the two seafloor parameters roughness and hardness were obtained with the acoustic ground discrimination system RoxAnn off Helgoland in 2011@en
This dataset is about: Single beam survey data consisting of the two seafloor parameters roughness and hardness were obtained with the acoustic ground discrimination system RoxAnn off Helgoland in 201
DataONE2026-02-15 更新20
Preliminary hard and soft bottom seafloor substrate map derived from an unsupervised classification of gridded backscatter and bathymetry derivatives at Saipan Island, Commonwealth of the Northern Mariana Islands (CNMI).
Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at Saipan Island,...
data.gov00
MagicBathyNet: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-based Classification in Shallow Waters
The dataset MagicBathyNet is a benchmark dataset made up of image patches of Sentinel-2, SPOT-6 and aerial imagery, bathymetry in raster format and seabed classes annotations. MagicBathyNet has been
Zenodo2024-09-06 更新30
Preliminary hard and soft bottom seafloor substrate map derived from an unsupervised classification of gridded backscatter and bathymetry derivatives at Swains Island, Territory of American Samoa, USA.
Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymetry derivatives at Swains Island,...
data.gov00
