Aerial Imagery
Aerial Imagery
Filter Total Items: 16
Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery
The U.S. Geological Survey Upper Midwest Environmental Sciences Center is developing deep learning algorithms and tools for the automatic detection, enumeration, classification, and annotation of seabirds and other marine wildlife from digital aerial imagery — advancing cutting-edge research in collaboration with the Bureau of Ocean Energy Management (BOEM), the U.S. Fish and Wildlife Service (FWS...
Forest Canopy Gap Dynamics: Quantifying Forest Gaps and Understanding Gap-level Forest Regeneration
Floodplain forest is a major and critical component of the Upper Mississippi River System (UMRS). The current and future condition of floodplain forest on the UMRS is receiving increased attention from managers as the forest appears to be declining and not regenerating. A primary concern is invasive reed canarygrass ( Phalaris arundinacea), Dutch elm disease ( Ophiostoma ulmi and O. novo-ulmi)...
U.S. Fish & Wildlife Service - Comprehensive Conservation Plan
The Fish and Wildlife Service (USFWS) has been entrusted to manage our nation’s critical wetland resources. Due to conversion in industrial, residential, and agricultural uses, these wetlands have been disappearing at an alarming rate over the last one-hundred years. In order to better care for these resources, all of the refuges are developing long-term Comprehensive Conservation Plans (CCP).
Vegetation Mapping at National Parks
This project aims to provide a research tool enabling the National Park Service to better manage their resources for the betterment of the American public. Data sets developed by this program provide a structure for framing and answering critical scientific, planning, and management questions about vegetation communities and park natural resources and their relation to environmental processes...