Landsat 7 image acquired on August 14, 2022 showing the Vall d'Ebo Fire near Pego, Spain. The gap-filled image is shown using the short wave infrared, near infrared, and red bands (Bands 5|4|3). This image was acquired as part of the Landsat 7 extended science mission which acquires data at 8 kilometers lower than the original science mission.
Images
Explore USGS Landsat Program images.
![Landsat 7 Image of the Vall d'Ebo Fire near Pego, Spain](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/le07_198033_20220814_b1-7_gapfilled_v2.jpg?itok=ach1qG2L)
Landsat 7 image acquired on August 14, 2022 showing the Vall d'Ebo Fire near Pego, Spain. The gap-filled image is shown using the short wave infrared, near infrared, and red bands (Bands 5|4|3). This image was acquired as part of the Landsat 7 extended science mission which acquires data at 8 kilometers lower than the original science mission.
![Charts and graphs of Research Paper](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/1_1.png?itok=aBj903hr)
This paper presents dynamic surface water products over Canada from the first in a series of satellite sensors that will be used to develop a multi-sensor dynamic surface water monitoring system. The dataset uses 1984 to 2019 Landsat data to create annual water masks, inundation frequency and wetting/drying trends.
This paper presents dynamic surface water products over Canada from the first in a series of satellite sensors that will be used to develop a multi-sensor dynamic surface water monitoring system. The dataset uses 1984 to 2019 Landsat data to create annual water masks, inundation frequency and wetting/drying trends.
A portion of the Chesapeake Bay, and the entire Delaware Bay can be seen in these images, comparing the Landsat 9 Level-2 Surface Reflectance product (natural color, Bands 4,3,2) (left), and the corresponding Collection 2 Provisional Aquatic Reflectance product (Red Band 4 at 655nm) (right) for Landsat 9 Path 14 Row 33 acquired February 10, 2022.
A portion of the Chesapeake Bay, and the entire Delaware Bay can be seen in these images, comparing the Landsat 9 Level-2 Surface Reflectance product (natural color, Bands 4,3,2) (left), and the corresponding Collection 2 Provisional Aquatic Reflectance product (Red Band 4 at 655nm) (right) for Landsat 9 Path 14 Row 33 acquired February 10, 2022.
![Landsat 9 Image of Kangerdlugssuaq Glacier, Greenland](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/L9_23012_20220729_B654_Kangerdlugssuaq_glacier.jpg?itok=vKJJ46FL)
Named after a Greenlandic word meaning “large fjord,” Kangerdlugssuaq Glacier is one of the largest tidewater outlet glaciers in Greenland. It flows from the fjord of the same name, the second largest found on the east side of the island. This false color Landsat 9 image was acquired July 29, 2022, using Bands 5|4|3.
Named after a Greenlandic word meaning “large fjord,” Kangerdlugssuaq Glacier is one of the largest tidewater outlet glaciers in Greenland. It flows from the fjord of the same name, the second largest found on the east side of the island. This false color Landsat 9 image was acquired July 29, 2022, using Bands 5|4|3.
The Aorounga Crater located in Chad, Africa is a large impact crater that appears as a circular depression surrounded by a raised rim, as seen in this Landsat 9 image. The crater is surrounded by a vast expanse of desert and is known for its unique rock ridges, known as yardangs.
The Aorounga Crater located in Chad, Africa is a large impact crater that appears as a circular depression surrounded by a raised rim, as seen in this Landsat 9 image. The crater is surrounded by a vast expanse of desert and is known for its unique rock ridges, known as yardangs.
![graph](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/2022-06-EE-L1-scenes.png?itok=lweTFm7B)
This graphic shows the number of Landsat Level-1 scenes available for download from EarthExplorer.
View more statistics on the Landsat Project Statistics page.
This graphic shows the number of Landsat Level-1 scenes available for download from EarthExplorer.
View more statistics on the Landsat Project Statistics page.
![graph depicting Landsat Level-2 scenes in EE](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/2022-06-EE-L2-scenes.png?itok=RaI4QGkF)
This graphic displays the number of Landsat Level-2 scenes available on Earth Explorer.
View more statistics on the Landsat Project Statistics page.
This graphic displays the number of Landsat Level-2 scenes available on Earth Explorer.
View more statistics on the Landsat Project Statistics page.
In 2008 Landsat data became accessible to all users at no cost. This graphic displays the primary uses of Landsat data.
View more statistics on the Landsat Project Statistics page.
In 2008 Landsat data became accessible to all users at no cost. This graphic displays the primary uses of Landsat data.
View more statistics on the Landsat Project Statistics page.
This graphic displays the millions of Landsat Level-1 downloads, from 2008 to present.
View more statistics on the Landsat Project Statistics page.
This graphic displays the millions of Landsat Level-1 downloads, from 2008 to present.
View more statistics on the Landsat Project Statistics page.
The Landsat Archive Dashboard allows users to understand the temporal and spatial distribution of the 10 million plus Landsat scenes available through the USGS. Users can use the interactive maps to view the distribution of Landsat Collection 2 data by Path/Row. There are three Landsat archive maps: Landsat 4 – 9 daytime, Landsat 4 – 9 nighttime, and Landsat 1 – 3.
The Landsat Archive Dashboard allows users to understand the temporal and spatial distribution of the 10 million plus Landsat scenes available through the USGS. Users can use the interactive maps to view the distribution of Landsat Collection 2 data by Path/Row. There are three Landsat archive maps: Landsat 4 – 9 daytime, Landsat 4 – 9 nighttime, and Landsat 1 – 3.
Landsat Updates are prepared periodically and distributed electronically to provide information about Landsat activities and related topics of interest. Read this issue here.
Landsat Updates are prepared periodically and distributed electronically to provide information about Landsat activities and related topics of interest. Read this issue here.
![Example of the Landsat Collection 2 Provisional Evapotranspiration science product](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/L9_90031_20220721_b432_ETA_FucinoPlain_Italy_v2.jpg?itok=qlI8OJ5y)
Example of the Landsat Collection 2 Provisional Evapotranspiration science product for agricultural fields on the Fucino plain near San Benedetto dei Marsi, Italy. Left: Landsat 9 Collection 2 Natural Color Surface Reflectance Image. Right: Landsat 9 Collection 2 Actual Evapotranspiration Image.
Example of the Landsat Collection 2 Provisional Evapotranspiration science product for agricultural fields on the Fucino plain near San Benedetto dei Marsi, Italy. Left: Landsat 9 Collection 2 Natural Color Surface Reflectance Image. Right: Landsat 9 Collection 2 Actual Evapotranspiration Image.
Examples of different radiometric resolutions over Chicago, Illinois. The left image is 16-bit radiometric resolution (65,536 discrete shades of grey), the center image is an 8-bit radiometric resolution (256 discrete shades of grey), the right image is 4-bit radiometric resolution (16 discrete shades of grey).
Examples of different radiometric resolutions over Chicago, Illinois. The left image is 16-bit radiometric resolution (65,536 discrete shades of grey), the center image is an 8-bit radiometric resolution (256 discrete shades of grey), the right image is 4-bit radiometric resolution (16 discrete shades of grey).
This Landsat 9 image, showing the Dallas - Fort Worth area of Texas, was acquired on July 15, 2022. This false-color image vegetated land in shades of red, whereas grays and whites indicate urban or rocky surfaces.
This Landsat 9 image, showing the Dallas - Fort Worth area of Texas, was acquired on July 15, 2022. This false-color image vegetated land in shades of red, whereas grays and whites indicate urban or rocky surfaces.
Landsat 9 image over Svalbard, Norway. Acquired on July 8, 2022, Path 26 Row 240. For more information on Landsat data, visit the Landsat Mission Website.
Landsat 9 image over Svalbard, Norway. Acquired on July 8, 2022, Path 26 Row 240. For more information on Landsat data, visit the Landsat Mission Website.
![Landsat 8 Image of the Great Salt Lake in July, 2022](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/L8_P38R31-32_20220703_B432_lrg.jpg?itok=44LbOYJU)
Natural Color Landsat 8 image of the Great Salt Lake, acquired on July 3, 2022. On July 3, the level of Great Salt Lake dropped below the October 2021 historic low elevation.
Natural Color Landsat 8 image of the Great Salt Lake, acquired on July 3, 2022. On July 3, the level of Great Salt Lake dropped below the October 2021 historic low elevation.
Two Earth-observing satellites turned to watch a lunar eclipse, revealing dramatic and uneven temperature changes across our closest celestial neighbor.
NASA Earth Image of the Day for July 5, 2022
Instruments:
Landsat 8 — TIRS
Landsat 9 — TIRS-2
Photograph
Two Earth-observing satellites turned to watch a lunar eclipse, revealing dramatic and uneven temperature changes across our closest celestial neighbor.
NASA Earth Image of the Day for July 5, 2022
Instruments:
Landsat 8 — TIRS
Landsat 9 — TIRS-2
Photograph
Over the course of the four-hour eclipse, the TIRS sensors observed the intensity of infrared light radiating from the Moon’s surface. From those radiances, scientists calculated the temperatures required to generate them. This “brightness temperature” of the lunar surface changed as Earth’s shadow marched across the lunar landscape.
Over the course of the four-hour eclipse, the TIRS sensors observed the intensity of infrared light radiating from the Moon’s surface. From those radiances, scientists calculated the temperatures required to generate them. This “brightness temperature” of the lunar surface changed as Earth’s shadow marched across the lunar landscape.
![Charts and graphs from research paper](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/HDYL1.png?itok=h_iDXJyj)
Using Google Earth Engine and Landsat, this team created a rapid and robust tool for mapping historical flood inundation areas. This enhances existing efforts towards flood mitigation, monitoring, and management.
Using Google Earth Engine and Landsat, this team created a rapid and robust tool for mapping historical flood inundation areas. This enhances existing efforts towards flood mitigation, monitoring, and management.
![Charts and graphs with abstract from paper.](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/How%20Do%20You%20Landsat_0.png?itok=XG8G8UDX)
In Alaska, the Sagavanirktok River flows North to empty in Beaufort Sea near Prudhoe Bay. Landsat 9 captured this false color image on July 1, 2022, using Bands 6|5|4.
In Alaska, the Sagavanirktok River flows North to empty in Beaufort Sea near Prudhoe Bay. Landsat 9 captured this false color image on July 1, 2022, using Bands 6|5|4.