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Common Landsat Band Combinations
Common Landsat Band Combinations
Common Landsat Band Combinations
Common Landsat Band Combinations

This graphic displays a few of the common band Red-Green-Blue (RGB) combinations of Landsat data. For more information about using Landsat bands in your research, visit the following pages: 

This graphic displays a few of the common band Red-Green-Blue (RGB) combinations of Landsat data. For more information about using Landsat bands in your research, visit the following pages: 

color photo of grasslands in Guymon, OK
Guymon, OK underfly one
Guymon, OK underfly one
Guymon, OK underfly one

Thick vegetation at a Guymon, Oklahoma, site required parking a quarter-mile away. The pickup is visible at the top center of the photo, which was taken on November 11, 2021, the first characterization day there. (Photo by Jeff Irwin, USGS)

Thick vegetation at a Guymon, Oklahoma, site required parking a quarter-mile away. The pickup is visible at the top center of the photo, which was taken on November 11, 2021, the first characterization day there. (Photo by Jeff Irwin, USGS)

satellite map of zhouzhou, china
C2L2 Factsheet Image
C2L2 Factsheet Image
C2L2 Factsheet Image

Landsat 5 images of Zhuozhou, China, on September 7, 1999, showing top-of-atmosphere (TOA) reflectance; Level-2 surface reflectance (SR); and Level-2 surface temperature (ST), in Kelvin (K). View fact sheet at Landsat Collection 2 Level-2 Science Products (usgs.gov).

Landsat 5 images of Zhuozhou, China, on September 7, 1999, showing top-of-atmosphere (TOA) reflectance; Level-2 surface reflectance (SR); and Level-2 surface temperature (ST), in Kelvin (K). View fact sheet at Landsat Collection 2 Level-2 Science Products (usgs.gov).

Landsat image over Window Rock, Arizona.
Landsat image of Window Rock, Arizona
Landsat image of Window Rock, Arizona
Landsat image of Window Rock, Arizona

Landsat image of Window Rock, Arizona, acquired on November 3, 2021.

For more information about Landsat, please visit www.usgs.gov/Landsat

To download the data, visit earthexplorer.usgs.gov

Color Landsat 9 image of Navajo Nation
Navajo Nation
Navajo Nation
Navajo Nation

In the Western U.S., in places like the Navajo Nation as seen in this Landsat 9 image, Landsat and other satellite data help people monitor drought conditions and manage irrigation water. With only 85 rain gauges to cover more than 27,000 square miles, satellite data and climate models are filling the gaps to help the Navajo Nation monitor drought severity.

In the Western U.S., in places like the Navajo Nation as seen in this Landsat 9 image, Landsat and other satellite data help people monitor drought conditions and manage irrigation water. With only 85 rain gauges to cover more than 27,000 square miles, satellite data and climate models are filling the gaps to help the Navajo Nation monitor drought severity.

satellite image of himalayas
Landsat 9 First Light Image of the Himalayas
Landsat 9 First Light Image of the Himalayas
Landsat 9 First Light Image of the Himalayas

The city of Kathmandu, Nepal, seen at the bottom left of this Landsat 9 image, lies in a valley south of the Himalayan Mountainsbetween Nepal and China. Glaciers, and the lakes formed by glacial meltwater, are visible in the top middle of this image.

The city of Kathmandu, Nepal, seen at the bottom left of this Landsat 9 image, lies in a valley south of the Himalayan Mountainsbetween Nepal and China. Glaciers, and the lakes formed by glacial meltwater, are visible in the top middle of this image.

Interior of the Lava River Cave
IMG_0302.jpeg
IMG_0302.jpeg
IMG_0302.jpeg

Image showing a section of Lava River Cave, located in Northern Arizona. 

Image showing a section of Lava River Cave, located in Northern Arizona. 

Dr. Kyle Rodman, Dr. Zhiliang Zhu, and Dr. Sarah Hart, pictured with the graphic for the USGS EROS podcast "Eyes on Earth."
Eyes on Earth - Colorado Bark Beetles homepage
Eyes on Earth - Colorado Bark Beetles homepage
Eyes on Earth - Colorado Bark Beetles homepage

From top, Dr. Kyle Rodman, Dr. Zhiliang Zhu, and Dr. Sarah Hart, pictured with the graphic for the USGS EROS podcast "Eyes on Earth."

Example of the Landsat Collection 2 Burned Area Science Product
Example of the Landsat Collection 2 Burned Area Science Product showing the Bootleg Fire in Oregon
Example of the Landsat Collection 2 Burned Area Science Product showing the Bootleg Fire in Oregon
Example of the Landsat Collection 2 Burned Area Science Product showing the Bootleg Fire in Oregon

Example of the Landsat Collection 2 Burned Area Science Product showing the Bootleg Fire in Oregon on July 11, 2021 for tile h006V010. Left: Landsat 8 Collection 2 U.S. Analysis Ready Data Surface Reflectance image (Bands 6,5,4), Middle: Burn Classification (BC), and Right: Burn Probability (BP).

Example of the Landsat Collection 2 Burned Area Science Product showing the Bootleg Fire in Oregon on July 11, 2021 for tile h006V010. Left: Landsat 8 Collection 2 U.S. Analysis Ready Data Surface Reflectance image (Bands 6,5,4), Middle: Burn Classification (BC), and Right: Burn Probability (BP).

Color Landsat 8 image of South Dakota
South Dakota Landsat 8 Mosaic
South Dakota Landsat 8 Mosaic
South Dakota Landsat 8 Mosaic

South Dakota is home to the fabled “Black Hills.” Seen from a distance, these pine-covered hills, rising several thousand feet above the surrounding prairie, appear black.

South Dakota is home to the fabled “Black Hills.” Seen from a distance, these pine-covered hills, rising several thousand feet above the surrounding prairie, appear black.

Landsat 8 Collection 2 image of the Menindee Lakes in Australia
Landsat 8 Collection 2 image of the Menindee Lakes in Australia
Landsat 8 Collection 2 image of the Menindee Lakes in Australia
Landsat 8 Collection 2 image of the Menindee Lakes in Australia

The Menindee Lakes in the Far West of New South Wales, Australia, are seen in this Landsat 8 Collection 2 image from May 14, 2021, and is shown as a natural color composite using the red, green, and blue bands (Bands 4,3,2).

The Menindee Lakes in the Far West of New South Wales, Australia, are seen in this Landsat 8 Collection 2 image from May 14, 2021, and is shown as a natural color composite using the red, green, and blue bands (Bands 4,3,2).

Landsat 8 Collection 2 image of the Richat Structure
Landsat 8 Collection 2 image of the Richat Structure
Landsat 8 Collection 2 image of the Richat Structure
Landsat 8 Collection 2 image of the Richat Structure

This Landsat 8 Collection 2 image was acquired over the Richat Structure near the western edge of the Sahara Desert on April 25, 2020 and is shown as a natural color composite using the red, green, and blue bands (Bands 4,3,2).

This Landsat 8 Collection 2 image was acquired over the Richat Structure near the western edge of the Sahara Desert on April 25, 2020 and is shown as a natural color composite using the red, green, and blue bands (Bands 4,3,2).

Landsat Collection 2 DSWE Example
Example of the Landsat Collection 2 Dynamic Surface Water Extent Science Product
Example of the Landsat Collection 2 Dynamic Surface Water Extent Science Product
Example of the Landsat Collection 2 Dynamic Surface Water Extent Science Product

Example of the Landsat Collection 2 Dynamic Surface Water Science Product showing the Confluence of the Wabash and Ohio Rivers on April 12, 2021,for tile h021V010. Left: Landsat Collection 2 U.S. Analysis Ready Data Surface Reflectance image, Right: Dynamic Surface Water Extent (INTR layer)

Example of the Landsat Collection 2 Dynamic Surface Water Science Product showing the Confluence of the Wabash and Ohio Rivers on April 12, 2021,for tile h021V010. Left: Landsat Collection 2 U.S. Analysis Ready Data Surface Reflectance image, Right: Dynamic Surface Water Extent (INTR layer)

Image of a meteorological station at Sunset Crater, AZ
SUCR cinder field met station.jpeg
SUCR cinder field met station.jpeg
SUCR cinder field met station.jpeg

The image shows the Astrogeology Science Center experimental meteorological station.

The image shows the Astrogeology Science Center experimental meteorological station.

3DEP Funding Gap Scenarios
3DEP Funding Gap Scenarios
3DEP Funding Gap Scenarios
3DEP Funding Gap Scenarios

Bar graphs comparing three partner funding scenarios for completing nationwide 3D Elevation Program data acquisition by 2023. 

Bar graphs comparing three partner funding scenarios for completing nationwide 3D Elevation Program data acquisition by 2023. 

Landsat 8 Surface Reflectance image off the coast of Labrador and Newfoundland
Landsat 8 Images Labrador
Landsat 8 Images Labrador
Landsat 8 Images Labrador

Landsat 8 Surface Reflectance image of the coast of Labrador and Newfoundland

Path 5 Row 23

Date acquired 20210216

Landsat 8 Surface Reflectance image of the coast of Labrador and Newfoundland

Path 5 Row 23

Date acquired 20210216

Hawaii Landsat State Mosaic
Hawaii Landsat State Mosaic
Hawaii Landsat State Mosaic
Hawaii Landsat State Mosaic

The state of Hawaii consists of eight main islands: Niihau, Kauai, Oahu, Molokai, Lanai, Kahoolawe, Maui, and Hawaii. From east to west, Hawaii is the widest state in the country.

Capital Honolulu

Image Source Landsat 8

Population 1,455,271

The state of Hawaii consists of eight main islands: Niihau, Kauai, Oahu, Molokai, Lanai, Kahoolawe, Maui, and Hawaii. From east to west, Hawaii is the widest state in the country.

Capital Honolulu

Image Source Landsat 8

Population 1,455,271

Productivity of Black Oystercatchers in Southwest Alaska
Productivity of Black Oystercatchers in Southwest Alaska
Productivity of Black Oystercatchers in Southwest Alaska
Productivity of Black Oystercatchers in Southwest Alaska

The black oystercatcher, a keystone species in nearshore ecosystems, plays an important role in structuring nearshore systems and is highly susceptible to human disturbance. Current inventory and monitoring efforts may not adequately address the information needs for estimating long-term trends for this species.

The black oystercatcher, a keystone species in nearshore ecosystems, plays an important role in structuring nearshore systems and is highly susceptible to human disturbance. Current inventory and monitoring efforts may not adequately address the information needs for estimating long-term trends for this species.

Landsat 8 image showing northeast Mongolia
Landsat 8 image showing northeast Mongolia
Landsat 8 image showing northeast Mongolia
Landsat 8 image showing northeast Mongolia

Landsat 8 image acquired on November 19, 2020 over northeast Mongolia (Path 127 Row 26). The image is shown using the shortwave infrared 1, near infrared, and red bands (bands 6,5,4).

Landsat Scene ID LC08_L1TP_127026_20201119_20201119_01_RT

Landsat 8 image acquired on November 19, 2020 over northeast Mongolia (Path 127 Row 26). The image is shown using the shortwave infrared 1, near infrared, and red bands (bands 6,5,4).

Landsat Scene ID LC08_L1TP_127026_20201119_20201119_01_RT

Landsat 8 image showing southwest Morocco
Landsat 8 image showing southwest Morocco
Landsat 8 image showing southwest Morocco
Landsat 8 image showing southwest Morocco

Landsat 8 image acquired on November 11, 2020 over southwest Morocco (Path 203 Row 40). The image is shown using the shortwave infrared 2, red, and blue bands (bands 7,4,2).

Landsat Scene ID LO08_L1TP_203040_20201107_20201111_01_T1

Landsat 8 image acquired on November 11, 2020 over southwest Morocco (Path 203 Row 40). The image is shown using the shortwave infrared 2, red, and blue bands (bands 7,4,2).

Landsat Scene ID LO08_L1TP_203040_20201107_20201111_01_T1