| Name |
Format |
Description |
Link |
|
0 |
This file contains image level metadata for each image used to train and test the NOAA ESD Coral Bleaching classifier. |
https://www.ncei.noaa.gov/archive/accession/0269246 |
|
0 |
Benthic imagery owned by The Nature Conservancy of Kaneohe Bay in 2015. Imagery was used to train the CoralNet Bleaching Classifier, and also generated annotations for which data is accessible in this data package. |
https://www.ncei.noaa.gov/archive/accession/0269246 |
|
0 |
Labelset used to train and test the NOAA ESD Coral Bleaching Classifier; defines the short code annotations of the datasets. |
https://www.ncei.noaa.gov/archive/accession/0269246 |
|
0 |
Pacific Island Fisheries Science Center homepage |
https://www.pifsc.noaa.gov |
|
0 |
PIFSC landing page for Coral Bleaching Classifier Report |
https://www.fisheries.noaa.gov/resource/document/development-semi-automated-coral-bleaching-classifier-coralnet-summary-standard |
|
0 |
The CoralNet deploy API lets you programmatically classify any image using any automatic classifier on CoralNet. You specify images using web URLs along with the row, column locations you want classified and you get the automated classifications back. Tutorial & Reference links provided. |
https://coralnet.ucsd.edu/pages/help/api/ |
|
0 |
This repository contains code used to develop a CoralNet classifier to automate annotations of coral bleaching: "Point_Annotator_Raster_v1.3.R" and specifically for the CoralNet Bleaching Classiifer "V3__Bleaching_Site_Sorting.R" |
https://github.com/morgan-winston/coralnet-bleaching-classifier-development |
|
0 |
Online Resource |
https://www.fisheries.noaa.gov/region/pacific-islands#science |
|
0 |
The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. |
https://www.earthdata.nasa.gov/learn/find-data/idn/gcmd-keywords |
|
0 |
This file contains point level comparison for the imagery used to test the NOAA ESD Coral Bleaching classifier. For every point, the machine suggested label and the human annotated label are shown. |
https://www.ncei.noaa.gov/archive/accession/0269246 |
|
0 |
In this report, we provide a description of how to create a coral bleaching classifier in CoralNet using photoquadrat imagery. We also include a summary of accuracy of NOAA ESD's classifier at both the point and site level. The trained bleaching classifier is publically available (Global ID 24223) and can be accessed using the CoralNet Application Program Interface (API). |
https://doi.org/10.25923/d0re-9y93 |
|
0 |
Benthic images of one site off of Lisanski island and Midway Atoll in 2014, owned by Courtney Couch. This imagery was used to train the CoralNet Bleaching Classifier. |
https://www.ncei.noaa.gov/archive/accession/0269246 |
|
0 |
This file contains the point-level labels assigned by human annotators to the imagery used to train the NOAA ESD Coral Bleaching Classifier. |
https://www.ncei.noaa.gov/archive/accession/0269246 |
|
0 |
View the complete metadata record on InPort for more information about this dataset. |
https://www.fisheries.noaa.gov/inport/item/67962 |
|
33 |
NOAA Data Management Plan for this record on InPort. |
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nmfs/pifsc/dmp/pdf/67962.pdf |