Western and Eastern region eVIIRS Remote Sensing Phenology Start of Season for 2023.
What is remote sensing and what is it used for?
Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft). Special cameras collect remotely sensed images, which help researchers "sense" things about the Earth. Some examples are:
- Cameras on satellites and airplanes take images of large areas on the Earth's surface, allowing us to see much more than we can see when standing on the ground.
- Sonar systems on ships can be used to create images of the ocean floor without needing to travel to the bottom of the ocean.
- Cameras on satellites can be used to make images of temperature changes in the oceans.
Some specific uses of remotely sensed images of the Earth include:
- Large forest fires can be mapped from space, allowing rangers to see a much larger area than from the ground.
- Tracking clouds to help predict the weather or watching erupting volcanoes, and help watching for dust storms.
- Tracking the growth of a city and changes in farmland or forests over several years or decades.
- Discovery and mapping of the rugged topography of the ocean floor (e.g., huge mountain ranges, deep canyons, and the “magnetic striping” on the ocean floor).
Related
What are the acquisition schedules for the Landsat satellites?
What are the band designations for the Landsat satellites?
What sensors does the Landsat 9 satellite carry?
What do the different colors in a color-infrared aerial photograph represent?
Are the scanned aerial photographic images georectified?
How do I download orthoimagery products and what are the available formats?

Western and Eastern region eVIIRS Remote Sensing Phenology Start of Season for 2023.
PubTalk-05/2022 - Using Military Remote Sensing Technology to Support Federal Civil Agency Science: Sunk Cost, Well Spent
linkUsing Military Remote Sensing Technology to Support Federal Civil Agency Science: Sunk Cost, Well Spent
By Paul M. Young, Director of the USGS National Civil Applications Center
PubTalk-05/2022 - Using Military Remote Sensing Technology to Support Federal Civil Agency Science: Sunk Cost, Well Spent
linkUsing Military Remote Sensing Technology to Support Federal Civil Agency Science: Sunk Cost, Well Spent
By Paul M. Young, Director of the USGS National Civil Applications Center

Information from satellite imagery helped to differentiate areas vulnerable to soil erosion from off-highway vehicle use. For this study we developed a “P-factor” by scaling ground measurements of soil compaction to vehicle disturbances mapped from aerial imagery.
Information from satellite imagery helped to differentiate areas vulnerable to soil erosion from off-highway vehicle use. For this study we developed a “P-factor” by scaling ground measurements of soil compaction to vehicle disturbances mapped from aerial imagery.

Leaders in the field of remote sensing discuss working with Landsat data since it began in 1972. With the change to a free and open policy 10 years ago, new and exciting possibilities have opened up.
Leaders in the field of remote sensing discuss working with Landsat data since it began in 1972. With the change to a free and open policy 10 years ago, new and exciting possibilities have opened up.
USGS Hydrologist Eric White flies a small drone equipped with a thermal infrared camera during a groundwater/surface-water exchange study.
USGS Hydrologist Eric White flies a small drone equipped with a thermal infrared camera during a groundwater/surface-water exchange study.

Land Remote Sensing Image of Mount St. Helens on May 22, 1983. The volcanic blast on May 18, 1980, devastated more than 150 square miles of forest within a few minutes. In this Landsat false-color images, forest appears as bright red interspersed with patches of logging. Snow appears white, and ash is gray.
Land Remote Sensing Image of Mount St. Helens on May 22, 1983. The volcanic blast on May 18, 1980, devastated more than 150 square miles of forest within a few minutes. In this Landsat false-color images, forest appears as bright red interspersed with patches of logging. Snow appears white, and ash is gray.
Earth observation remote sensing tools—Assessing systems, trends, and characteristics
Joint Agency Commercial Imagery Evaluation (JACIE)
Remote sensing for monitoring mine lands and recovery efforts
Landsat Next
Civil applications committee
System characterization report on Resourcesat-2 Advanced Wide Field Sensor
2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium
National Land Imaging Program
Use of remote sensing to detect and predict aquatic nuisance vegetation growth in coastal Louisiana: Summary of findings
Using remote sensing to monitor global change
Related
What are the acquisition schedules for the Landsat satellites?
What are the band designations for the Landsat satellites?
What sensors does the Landsat 9 satellite carry?
What do the different colors in a color-infrared aerial photograph represent?
Are the scanned aerial photographic images georectified?
How do I download orthoimagery products and what are the available formats?

Western and Eastern region eVIIRS Remote Sensing Phenology Start of Season for 2023.
Western and Eastern region eVIIRS Remote Sensing Phenology Start of Season for 2023.
PubTalk-05/2022 - Using Military Remote Sensing Technology to Support Federal Civil Agency Science: Sunk Cost, Well Spent
linkUsing Military Remote Sensing Technology to Support Federal Civil Agency Science: Sunk Cost, Well Spent
By Paul M. Young, Director of the USGS National Civil Applications Center
PubTalk-05/2022 - Using Military Remote Sensing Technology to Support Federal Civil Agency Science: Sunk Cost, Well Spent
linkUsing Military Remote Sensing Technology to Support Federal Civil Agency Science: Sunk Cost, Well Spent
By Paul M. Young, Director of the USGS National Civil Applications Center

Information from satellite imagery helped to differentiate areas vulnerable to soil erosion from off-highway vehicle use. For this study we developed a “P-factor” by scaling ground measurements of soil compaction to vehicle disturbances mapped from aerial imagery.
Information from satellite imagery helped to differentiate areas vulnerable to soil erosion from off-highway vehicle use. For this study we developed a “P-factor” by scaling ground measurements of soil compaction to vehicle disturbances mapped from aerial imagery.

Leaders in the field of remote sensing discuss working with Landsat data since it began in 1972. With the change to a free and open policy 10 years ago, new and exciting possibilities have opened up.
Leaders in the field of remote sensing discuss working with Landsat data since it began in 1972. With the change to a free and open policy 10 years ago, new and exciting possibilities have opened up.
USGS Hydrologist Eric White flies a small drone equipped with a thermal infrared camera during a groundwater/surface-water exchange study.
USGS Hydrologist Eric White flies a small drone equipped with a thermal infrared camera during a groundwater/surface-water exchange study.

Land Remote Sensing Image of Mount St. Helens on May 22, 1983. The volcanic blast on May 18, 1980, devastated more than 150 square miles of forest within a few minutes. In this Landsat false-color images, forest appears as bright red interspersed with patches of logging. Snow appears white, and ash is gray.
Land Remote Sensing Image of Mount St. Helens on May 22, 1983. The volcanic blast on May 18, 1980, devastated more than 150 square miles of forest within a few minutes. In this Landsat false-color images, forest appears as bright red interspersed with patches of logging. Snow appears white, and ash is gray.