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open_source_canopy_classification [2020-03-25 09:40 am] osmithopen_source_canopy_classification [2021-01-21 10:15 pm] (current) hcho
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 ====== Open source canopy classification ====== ====== Open source canopy classification ======
 [[open_source_canopy_classification:start|Workspace]] [[open_source_canopy_classification:start|Workspace]]
- 
- 
-<todo @osmith>Introduce your project</todo> 
- 
-==== About ==== 
  
 {{ :down_atlanta.png?nolink&300|Downtown Atlanta, GA classified}} {{ :down_atlanta.png?nolink&300|Downtown Atlanta, GA classified}}
- 
  
 This project is parallel research to the [[gfc_canopy_assessment|GFC canopy assessment]] by  This project is parallel research to the [[gfc_canopy_assessment|GFC canopy assessment]] by 
 [[owen_smith|Owen Smith]] for [[huidae_cho|Dr. Cho's]] [[https://hcho.isnew.info/gisc-4903.html|GISC 4903 - Special Topics in GIS]]  . [[owen_smith|Owen Smith]] for [[huidae_cho|Dr. Cho's]] [[https://hcho.isnew.info/gisc-4903.html|GISC 4903 - Special Topics in GIS]]  .
-It'focus is on creating an open source canopy classification system designed +Its focus is on creating an open source canopy classification system designed 
 specifically to utilize [[https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/|NAIP imagery]] specifically to utilize [[https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/|NAIP imagery]]
-within an efficient python module built on +within an efficient Python module built on 
 [[https://scikit-learn.org/stable/|Scikit-learn]],  [[https://scikit-learn.org/stable/|Scikit-learn]], 
 [[https://gdal.org/|GDAL]], and  [[https://gdal.org/|GDAL]], and 
 [[https://numpy.org/|NumPy]]. [[https://numpy.org/|NumPy]].
  
-The hope is to create an alternative to proprietary classification systems (i.e. Textron) to be used for  +The goal is to create an alternative to proprietary classification systems (e.g., Feature Analyst by Textron Systems) to be used for ongoing research into canopy change and the need for efficient data creation that is required.
-ongoing research into canopy change and the need for efficent data creation that is required.+
  
-=== Source Code ===+===== Presented in the 2020 UNG Annual Research Conference =====
  
-The source code for the project can be viewed in the +  * [[https://youtu.be/6b1n374iBwI?t=4792|Talk]] 
-[[https://github.com/ocsmit/canopy_foss|Canopy FOSS GitHub repository]] +  [[https://ungprod-my.sharepoint.com/:p:/g/personal/ocsmit7654_ung_edu/EZt3OuJGmkxCsf4zT5MAGesBX_ovLA6UZRVKAw0F5ZGEjQ?e=V72Aat|Slides]]
  
 +===== Publications =====
  
 +  * {{ ::canopy_foss_poster.pdf | Poster}}
 +  * {{:a_random_forests_based_canopy_classification_system_utilizing_naip_imagery_within_a_python_framework.pdf | Paper}} 
  
-   +===== Software =====
-   +
- +
  
 +The source code for the project can be viewed in the
 +[[https://github.com/ocsmit/canoclass|CanoClass GitHub repository]].
  
 +{{tag>projects}}
open_source_canopy_classification.1585150849.txt.gz · Last modified: 2020-03-25 09:40 am by osmith

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