Kyle L Landolt

Code, imagery, and annotations for training a deep learning model to detect wildlife in aerial imagery

These data were collected to support the development of detection and classification algorithms to support Bureau of Ocean Energy Management (BOEM) studies and assessments associated with offshore wind energy production. There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It includes instructions and files necessary for training, validating, and testing a machine learning detection algorithm. 02_Imagery.zip contains imagery that were collected using a Partenavia P68 fixed-wing airplane using a PhaseOne iXU-R 180 forward motion compensating 80-megapixel digital frame camera with...

Tags: Cape Cod, Information Sciences, Lake Michigan, USGS Science Data Catalog (SDC), Wildlife Biology, All tags... biota, birds, datasets, deep learning, oceans, remote sensing, wildlife, Fewer tags

2018 Aerial Thermal Imagery of Sandhill Crane from the Platte River, Nebraska

Thermal imagery was collected over the Platte River in Nebraska on March 20 and 21, 2018. The sensor used was a FLIR A8303sc midwave thermal sensor (FLIR Systems, Inc., Nashua, New Hampshire) with a 50 mm diameter lens.

Categories: Data; Tags: Nebraska, USGS, aerial photography, biota, remote sensing, All tags... thermal imaging, Fewer tags

Mosaicked Aerial Thermal Imagery of Sandhill Crane from the Platte River, Nebraska

Thermal aerial imagery was collected over the Platte River in Nebraska, USA, on March 21, 2021. A subset of that imagery was used to create a georeferenced mosaic.

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Nebraska, image mosaics, imageryBaseMapsEarthCover, river, thermal imaging

Aerial thermal imagery was collected over the Central Platte River Valley, Nebraska, USA. Bounding box annotations were manually created for the purpose of machine learning tasks to automate the detection of sandhill cranes. Mosaicking of the thermal imagery was complete to assemble the individual images into a single, geo-referenced image.

Tags: USGS Science Data Catalog (SDC), Wildlife Biology

Annotations of Sandhill Crane Targets for Computer Vision Tasks

We provide manually annotated bounding boxes of sandhill crane targets in thermal imagery for use in deep learning models. The dataset contains forty files, each file representing the manual annotations created for a single image. We used the open-source tool labelImg (https://pypi.org/project/labelImg/) to create annotations and saved them in PASCAL VOC format.

Tags: Nebraska, biota, birds, datasets, remote sensing, All tags... thermal imaging, wildlife, Fewer tags