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Tracking Historical Land-use Cover Change in Urban Drainage Catchments Using : Random Forest and Support Vector Machine
| Authors: |  | |
|---|---|---|
| Owners: |  | This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. | 
| Type: | Resource | |
| Storage: | The size of this resource is 1.1 MB | |
| Created: | Aug 03, 2019 at 1:06 a.m. (UTC) | |
| Last updated: | Aug 03, 2019 at 1:15 a.m. (UTC) (Metadata update) | |
| Published date: | Aug 03, 2019 at 1:15 a.m. (UTC) | |
| DOI: | 10.4211/hs.43b277b83b554420b66c53a0d78de7f9 | |
| Citation: | See how to cite this resource | 
| Sharing Status: | Published | 
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| Views: | 2928 | 
| Downloads: | 39 | 
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Abstract
This is the poster for the 2019 CUAHSI Conference on Hydroinformatics
Subject Keywords
Coverage
Spatial
                            
                             Coordinate System/Geographic Projection:
                        
                        WGS 84 EPSG:4326
                    
                    
                        
                            
                             Coordinate Units: 
                        
                        Decimal degrees
                    
                    
                                Place/Area Name: 
                            
                            
                                Salt Lake City
                            
                        
                    Longitude
                                        
                                
                                
                                    -111.8590°
                                    Latitude
                                        
                                
                            
                        40.7249°
                                    Content
                        
                        
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                How to Cite
Li, J. (2019). Tracking Historical Land-use Cover Change  in Urban Drainage Catchments Using :  Random Forest and Support Vector Machine, HydroShare, https://doi.org/10.4211/hs.43b277b83b554420b66c53a0d78de7f9
                    
                This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/ 
                        
                
            
         
            
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