BOEM

The Bureau of Ocean Energy Management’s (BOEM’s) Environmental Studies Program (ESP) develops, funds, and manages rigorous scientific research specifically to inform policy decisions on the development of energy and mineral resources on the U.S. Outer Continental Shelf (OCS). BOEM uses remote sensing to inform its research covering physical oceanography, atmospheric sciences, biology, protected species, social sciences and economics, submerged cultural resources, and environmental fates and effects. Mandated by Section 20 of the Outer Continental Shelf Lands Act, the ESP is an indispensable requirement informing BOEM’s decisions on offshore oil and gas, offshore renewable energy, and the marine minerals program for coastal restoration. Through its ESP, BOEM has provided over $1 billion for research to this end since its inception in 1973. 

Bureau Full Name
Bureau of Ocean Energy Management

Mapping Ocean Wildlife Communities from Air and Space

Submitted by tadamson on

Bureau of Ocean Energy Management (BOEM) and the U.S. Fish and Wildlife Service deployed very-high resolution (VHR), multi-camera sensor arrays on fixed-winged aircraft to develop digital aerial imagery surveys in support of the Atlantic Marine Assessment Program for Protected Species (AMAPPS). In 2021, AMAPPS collected over 1.8 million images from aerial surveys over the Atlantic Ocean Outer Continental Shelf, which includes data from migratory, summer, and winter seasons.

2022 DOI Remote Sensing Activities

Remotely sensed data and derived information contribute significantly to mission-critical work across the Department of the Interior (DOI). This report from the DOI Remote Sensing Working Group (DOIRSWG) highlights a sample of DOI remote sensing applications and illustrates the many types of technology, platforms, and specialized sensors employed.* DOI personnel use remote sensing technology to evaluate and monitor changing land-surface and natural resource conditions over the vast areas for which DOI has responsibility.

Detecting Whale Aggregations from Space

Submitted by atripp on

Monitoring whales and seals is of broad interest to BOEM, academic institutions, commercial operations and other Federal entities. Advancements in very high resolution (VHR) satellite imagery, cloud computing and artificial intelligence (AI) have tremendous potential for developing an operational system to detect marine mammals worldwide.

2021 DOI Remote Sensing Activities

Remotely sensed data and derived information contribute significantly to mission-critical work across the Department of the Interior (DOI). This report from the DOI Remote Sensing Working Group (DOIRSWG) highlights a sample of DOI remote sensing applications and illustrates the many types of technology, platforms, and specialized sensors employed.* DOI personnel use remote sensing technology to evaluate and monitor changing land-surface and natural resource conditions over the vast areas for which DOI has responsibility.

Developing Computer Vision and Deep Learning Methods to Improve Aerial Surveys of Marine Wildlife

Submitted by atripp on

BOEM, U.S. Fish and Wildlife Service, and the U.S. Geological Survey are collaborating to foster research on deep learning methods that automate remote sensing data for wildlife population surveys. The Atlantic Marine Assessment Program for Protected Species (AMAPPS), in its third phase, is developing automated ways to rapidly filter and subset digital aerial imagery of marine birds, cetaceans, and sea turtles.

2020 DOI Remote Sensing Activities

Remotely sensed data and derived information contribute significantly to mission-critical work across the Department of the Interior (DOI). This report from the DOI Remote Sensing Working Group (DOIRSWG) highlights a sample of DOI remote sensing applications and illustrates the many types of technology, platforms, and specialized sensors employed.* DOI personnel use remote sensing technology to evaluate and monitor changing land-surface and natural resource conditions over the vast areas for which DOI has responsibility.