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These are the images associated with the project, including: (1) OriginalImages: original 863 images provided to West Inc from USFWS and others for model training; (2) YoloSliced: 1897 programmatically cropped original images used for training a YOLO Model (300 x 300 pixels); (3) OriginalImages_Box: 785 annotated images; (4) YoloSliced_Box: 1897 annotated sliced images.
Categories: Data,
Image;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
EARTH SCIENCE,
Image,
The SeaDuckDetectoR is software designed to identify sea ducks and other avian species in aerial photographs. The program is run through R and RStudio. The product includes a .zip file “SeaDuckDetectoR.0.1.0.zip” with the files for installation, and a manual “SeaDuckDetectoR_Manual.docx” explaining how to run the program.
Categories: Data,
Software;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
EARTH SCIENCE,
Science Keywords,
The role of lynx dispersal in maintaining their populations at the landscape scale is unclear. A large proportion of local lynx populations are known to disperse following a snowshoe hare population crash, but whether these dispersal events contribute to the cyclic dynamics of neighboring populations is not well understood. If lynx dispersal does play an important role in lynx population dynamics then the conservation of dispersal corridors is critical to maintaining those dynamics. However, we currently have no information on the habitat requirements of dispersing lynx in relation to human land use, such as housing developments, road building, timber harvest, and mining, all of which could have a substantial impact...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BIOSPHERE,
BIOSPHERE,
BOREAL FOREST/TIAGA,
EARTH SCIENCE,
EARTH SCIENCE,
This is the final report from SDJV Project #157: Automated Sea Duck Counts from Aerial Imagery, conducted by WEST, Inc.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
EARTH SCIENCE,
Report,
This project developed an artificial intelligence system based on a convoluted neural network capable of detecting and counting sea duck individuals in aerial photos and classifying individuals to species and sex when possible, to reduce time and cost commitments associated with processing imagery from aerial surveys. We used a dataset consisting of 810 aerial images containing sea ducks and other birds in offshore and coastal environments. Images were collected from fixed wing aircraft at varying flight heights and image resolution. A biologist reviewed each image identifying and annotating the position of objects of interest (birds) in the image by drawing a bounding box surrounding each object, and assigned species...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIRDS,
EARTH SCIENCE,
Project,
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