Lidar (terrestrial or bathymetric)

Utilizing Deep Learning Algorithms and Lidar to Detect Abandoned Oil and Gas Wells

Submitted by tadamson on

The U.S. Environmental Protection Agency (EPA) estimates that there are over 2.3 million onshore abandoned oil and gas wells. A well is considered abandoned by State and Federal agencies if there has not been recent oil or gas production, the well head is not properly capped, or there is no responsible operating company. Many oil and gas wells are concentrated in the southwestern United States.

Lidar and PlanetScope Metrics for Predicting Forest Inventory Parameters in Texas and Oklahoma Songbird Habitat

Submitted by tadamson on

National Wildlife Refuges (NWR) in Texas and Oklahoma manage forested habitats to support priority bird populations in the West Gulf Coastal Plain and Ouachitas Bird Conservation Regions. Airborne laser altimetry, or light detection and ranging (lidar), captures detail on vertical and horizonal forest structure helpful for determining bird species diversity, density, and distribution.

Handheld Laser Scanning to Document Coastal Erosion

Submitted by tadamson on

Coastal erosion, exacerbated by sea-level rise, threatens natural, cultural, and recreation resources in the King Range National Conservation Area (NCA) on the northern California coast. Within this otherwise steep landscape, the flat coastal terrace provides a suitable location for recreation infrastructure, including two historic lighthouses and the popular Lost Coast Trail.

Tracking Spatial and Temporal Habitat Changes for an Endangered Rodent

Submitted by atripp on

The New Mexico meadow jumping mouse (Zapus hudsonius luteus), which was listed as endangered in 2014, historically ranged throughout the Middle Rio Grande River Valley in New Mexico and along perennial high-elevation streams in New Mexico, southern Colorado, and eastern Arizona. After years of drought, river modifications, and changes to habitat, many previously occupied jumping mouse populations are believed to be extirpated.

Convolutional Neural Networks for Detecting Abandoned Oil and Gas Wells

Submitted by atripp on

Abandoned gas and oil wells are commonly a source of greenhouse gas (GHG) emissions and can leak hydrocarbon-related fluids such as oil or brine, particularly when unplugged wells go undetected over long periods. Older wells are challenging to discover when vegetation has overgrown abandoned sites. As in other parts of the country, FWS National Wildlife Refuges (NWR) in Oklahoma and Texas contain a large number of abandoned wells from historical oil and gas development.

Mapping Endangered Species Potential Habitat

Submitted by atripp on

Nearly 1 million Attwater’s greater prairie-chickens (Tympanuchus cupido attwateri) once occupied 6 million acres of coastal prairie grasslands in Texas and Louisiana. Loss and fragmentation of habitat nearly drove this species to extinction, and it was listed as endangered in 1967. Today, two populations have been established in the wild through release of captive-reared birds.