Landsat in Action - The Accuracy of Landsat with Jeff Masek
Landsat in Action - The Accuracy of Landsat with Jeff MasekLandsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.
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A custom color stretch is performed on the images, based on individual scene content. Scenes from within the same area and/or acquisition date might vary in band content (due to differences such as cloud content or ground moisture). This differing content will cause variation in the results of the color stretch.
Pixelation is an artifact of the browse generation process and is common for scenes that are located over flat, low-contrast areas, such as water, sand and snow. The actual data will not appear this way.
Memory Effect (ME) is an artifact that can be observed as alternating lighter and darker scans. At various times, ME has been known as "banding" or "bright target recovery". ME is typically seen in imagery from bands 1-4, over large areas following a significant transition in radiant intensity such as at a cloud/desert or snow/water boundary.
Other banding and striping issues are described in Landsat Known Issues.
A number of artifacts and anomalies can happen to any remote sensing data. Banding, dropped scan lines, and detector failures are only a few of the anomalies that can be seen in Landsat data. Go to Landsat Known Issues for details about anomalies that have been discovered and investigated.
In 2016, the USGS reorganized the Landsat archive into a tiered collection. This structure ensures that Landsat Level-1 products provide a consistent archive of known data quality to support time-series analyses and data “stacking”, while controlling continuous improvement of the archive and access to all data as they are acquired. Learn more: Landsat Collections Landsat Data Access
LandsatLook images were full-resolution JPEG files that were included as options when downloading Landsat Collection 1 Level-1 data from the USGS. In 2020, these files were renamed Landsat Collection 2 Full Resolution Browse images. These images, useful for simple visual interpretation without needing specialized software, can be downloaded from EarthExplorer or GloVis. Learn more: Collection 2...
Landsat Collection Tiers are the inventory structure for Level-1 data products and are based on data quality and level of processing. The tier definition purpose is to support easier identification of suitable scenes for time-series pixel-level analysis, and provide temporary data that are processed immediately upon downlink to be dispensed quickly in emergency response situations with limited...
The C Function of Mask (CFMask) algorithm is used in Landsat Collection 1 Level-1 data processing. This algorithm provides a full-image “Scene Cloud Cover” estimation of the percentage of cloud cover calculated over an entire Landsat scene. Land Cloud Cover, which is also included, is determined by calculating the percentage of clouds over land-only pixels in a scene using a mask that...
The Landsat Collection 1 Level-1 product identifier includes the Collection processing levels, processing date, collection number, and collection tier category: LXSS_LLLL_PPPRRR_YYYYMMDD_yyyymmdd_CC_TX Where: L = Landsat X = Sensor (“C”=OLI/TIRS combined, “O”=OLI-only, “T”=TIRS-only, “E”=ETM+, “T”=“TM, “M”=MSS) SS = Satellite (”07”=Landsat 7, “08”=Landsat 8) LLL = Processing correction level (L1TP...
Landsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.
Landsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.
Landsat Collections: Providing a Stable Environmental Record for Time Series Analysis
Landsat Collections: Providing a Stable Environmental Record for Time Series Analysis
This is the third video in a series describing the new U.S. Geological Survey (USGS) Landsat Collection 1 inventory structure. Collection 1 required the reprocessing of all archived Landsat data to achieve radiometric and geometric consistency of Level-1 products through time and across all Landsat sensors.
This is the third video in a series describing the new U.S. Geological Survey (USGS) Landsat Collection 1 inventory structure. Collection 1 required the reprocessing of all archived Landsat data to achieve radiometric and geometric consistency of Level-1 products through time and across all Landsat sensors.
The Earth Resources Observation and Science (EROS) Center has created a video animation describing how Landsat 8 orbits the Earth. The video explains the 16-day cycle for capturing imagery of the entire world.
The Earth Resources Observation and Science (EROS) Center has created a video animation describing how Landsat 8 orbits the Earth. The video explains the 16-day cycle for capturing imagery of the entire world.
A number of artifacts and anomalies can happen to any remote sensing data. Banding, dropped scan lines, and detector failures are only a few of the anomalies that can be seen in Landsat data. Go to Landsat Known Issues for details about anomalies that have been discovered and investigated.
In 2016, the USGS reorganized the Landsat archive into a tiered collection. This structure ensures that Landsat Level-1 products provide a consistent archive of known data quality to support time-series analyses and data “stacking”, while controlling continuous improvement of the archive and access to all data as they are acquired. Learn more: Landsat Collections Landsat Data Access
LandsatLook images were full-resolution JPEG files that were included as options when downloading Landsat Collection 1 Level-1 data from the USGS. In 2020, these files were renamed Landsat Collection 2 Full Resolution Browse images. These images, useful for simple visual interpretation without needing specialized software, can be downloaded from EarthExplorer or GloVis. Learn more: Collection 2...
Landsat Collection Tiers are the inventory structure for Level-1 data products and are based on data quality and level of processing. The tier definition purpose is to support easier identification of suitable scenes for time-series pixel-level analysis, and provide temporary data that are processed immediately upon downlink to be dispensed quickly in emergency response situations with limited...
The C Function of Mask (CFMask) algorithm is used in Landsat Collection 1 Level-1 data processing. This algorithm provides a full-image “Scene Cloud Cover” estimation of the percentage of cloud cover calculated over an entire Landsat scene. Land Cloud Cover, which is also included, is determined by calculating the percentage of clouds over land-only pixels in a scene using a mask that...
The Landsat Collection 1 Level-1 product identifier includes the Collection processing levels, processing date, collection number, and collection tier category: LXSS_LLLL_PPPRRR_YYYYMMDD_yyyymmdd_CC_TX Where: L = Landsat X = Sensor (“C”=OLI/TIRS combined, “O”=OLI-only, “T”=TIRS-only, “E”=ETM+, “T”=“TM, “M”=MSS) SS = Satellite (”07”=Landsat 7, “08”=Landsat 8) LLL = Processing correction level (L1TP...
Landsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.
Landsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.
Landsat Collections: Providing a Stable Environmental Record for Time Series Analysis
Landsat Collections: Providing a Stable Environmental Record for Time Series Analysis
This is the third video in a series describing the new U.S. Geological Survey (USGS) Landsat Collection 1 inventory structure. Collection 1 required the reprocessing of all archived Landsat data to achieve radiometric and geometric consistency of Level-1 products through time and across all Landsat sensors.
This is the third video in a series describing the new U.S. Geological Survey (USGS) Landsat Collection 1 inventory structure. Collection 1 required the reprocessing of all archived Landsat data to achieve radiometric and geometric consistency of Level-1 products through time and across all Landsat sensors.
The Earth Resources Observation and Science (EROS) Center has created a video animation describing how Landsat 8 orbits the Earth. The video explains the 16-day cycle for capturing imagery of the entire world.
The Earth Resources Observation and Science (EROS) Center has created a video animation describing how Landsat 8 orbits the Earth. The video explains the 16-day cycle for capturing imagery of the entire world.