Characterizing the Sea-Ice Floe Size Distribution in the Canada Basin from High-Resolution Optical Satellite Imagery
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Characterizing the Sea-Ice Floe Size Distribution in the Canada Basin from High-Resolution Optical Satellite Imagery ; day:14 ; month:12 ; year:2021 ; pages:1-20 ; extent:20
The Cryosphere discussions ; (14.12.2021), 1-20 (gesamt 20)
- Creator
-
Denton, Alexis Anne
Timmermans, Mary-Louise
- DOI
-
10.5194/tc-2021-368
- URN
-
urn:nbn:de:101:1-2021121604151051497732
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:30 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Denton, Alexis Anne
- Timmermans, Mary-Louise
Other Objects (12)
A NEW OPTIMIZED RFM OF HIGH-RESOLUTION SATELLITE IMAGERY
Sat-SINR: High-Resolution Species Distribution Models Through Satellite Imagery
Dike-induced aquifer models derived from high-resolution multi-spectral satellite imagery
Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
Deep learning for detecting and characterizing oil and gas well pads in satellite imagery
Satellite Imagery in Agriculture
GEOMEMBRANE BASINS DETECTION BASED ON SATELLITE HIGH-RESOLUTION IMAGERY USING DEEP LEARNING ALGORITHMS
Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning
POTENTIAL EXPLORATION OF SEGMENTATION DRIVEN STEREO MATCHING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery for Monitoring Applications
Assessing Usefulness of High-Resolution Satellite Imagery (HRSI) for Re-Survey of Cadastral Maps
A NEW OPTIMIZED RFM OF HIGH-RESOLUTION SATELLITE IMAGERY
Sat-SINR: High-Resolution Species Distribution Models Through Satellite Imagery
Dike-induced aquifer models derived from high-resolution multi-spectral satellite imagery
Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
Deep learning for detecting and characterizing oil and gas well pads in satellite imagery
Satellite Imagery in Agriculture
GEOMEMBRANE BASINS DETECTION BASED ON SATELLITE HIGH-RESOLUTION IMAGERY USING DEEP LEARNING ALGORITHMS
Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning
POTENTIAL EXPLORATION OF SEGMENTATION DRIVEN STEREO MATCHING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery for Monitoring Applications
Assessing Usefulness of High-Resolution Satellite Imagery (HRSI) for Re-Survey of Cadastral Maps
A NEW OPTIMIZED RFM OF HIGH-RESOLUTION SATELLITE IMAGERY
Sat-SINR: High-Resolution Species Distribution Models Through Satellite Imagery
Dike-induced aquifer models derived from high-resolution multi-spectral satellite imagery
Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
Deep learning for detecting and characterizing oil and gas well pads in satellite imagery
Satellite Imagery in Agriculture
GEOMEMBRANE BASINS DETECTION BASED ON SATELLITE HIGH-RESOLUTION IMAGERY USING DEEP LEARNING ALGORITHMS
Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning
POTENTIAL EXPLORATION OF SEGMENTATION DRIVEN STEREO MATCHING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery for Monitoring Applications