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Christopher Barber, PhD

Christopher Barber is a US Geological Survey Scientist with the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD.

Christopher Barber is a US Geological Survey Scientist with the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD.

Science and Products

A map depicting the 5000 random sample plots used the Annual NLCD Collection 1.0 accuracy assessment.

Reference and Validation

The Annual NLCD Reference & Validation (R&V) is designed to support the development of consistent land cover and land cover change products and data. The R&V process involves collecting reference data to validate Anderson Level II land cover classes and change products across the United States. The R&V team gathers, organizes, and refines an independent reference datasets to generate validation...
By
Earth Resources Observation and Science (EROS) Center
Reference and Validation

Reference and Validation

The Annual NLCD Reference & Validation (R&V) is designed to support the development of consistent land cover and land cover change products and data. The R&V process involves collecting reference data to validate Anderson Level II land cover classes and change products across the United States. The R&V team gathers, organizes, and refines an independent reference datasets to generate validation...
Learn More
Color satellite image, with photos of Chris Barnes and Chris Barber and the Eyes on Earth podcast logo

Eyes on Earth Episode 40 – Landsat Collection 2 Eyes on Earth Episode 40 – Landsat Collection 2

Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn how a Collections strategy boosts the value of the Landsat archive.
Eyes on Earth Episode 40 – Landsat Collection 2

Eyes on Earth Episode 40 – Landsat Collection 2

Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn how a Collections strategy boosts the value of the Landsat archive.
Learn More

Developing an annual land surface temperature from 1985 to present for select international sites: First Outputs Developing an annual land surface temperature from 1985 to present for select international sites: First Outputs

Surface Urban Heat Island (SUHI) land surface temperature (LST) data is derived from Landsat thermal band. The LST including annual mean LST (MeanLST) and annual maximum LST (AVEMaxLST). The annual mean LST (MeanLST) therefore represents the average of all clear observations in a specific year. The seasonal maximum temperatures were then averaged to represent the annual mean maximum LST...
By
Earth Resources Observation and Science (EROS) Center

Resiliency of land change monitoring efforts to input data resampling Resiliency of land change monitoring efforts to input data resampling

The geometric transformation of remotely sensed imagery from one map projection to another necessitates a data resampling operation which alters the recorded values. The global Landsat archive is made available in the Universal Transverse Mercator (UTM) projection system which preserves geographic shape across small area but introduces small errors in distance and area. As remote sensing...
Authors
Nathan Healey, Christopher Barber, Kelcy Smith, Rohan Mital, Jesslyn Brown, Charles Robison
By
Earth Resources Observation and Science (EROS) Center

Medium spatial resolution mapping of global land cover and land cover change across multiple decades from Landsat Medium spatial resolution mapping of global land cover and land cover change across multiple decades from Landsat

Land cover maps are essential for characterizing the biophysical properties of the Earth’s land areas. Because land cover information synthesizes a rich array of information related to both the ecological condition of land areas and their exploitation by humans, they are widely used for basic and applied research that requires information related to land surface properties (e.g...
Authors
Mark Friedl, Curtis Woodcock, Pontus Olofsson, Zhe Zhu, Thomas R. Loveland, Radost Stanimirova, Paulo Arevalo, Eric Bullock, Kai-Ting Hu, Yingtong Zhang, Konrad Turlej, Katelyn Tarrio, McAvoy Kristina, Noel Gorelick, Jonathan Wang, Christopher Barber, Carlos Souza Jr.
By
Earth Resources Observation and Science (EROS) Center

Methods for rapid quality assessment for national-scale land surface change monitoring Methods for rapid quality assessment for national-scale land surface change monitoring

Providing rapid access to land surface change data and information is a goal of the U.S. Geological Survey. Through the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative, we have initiated a monitoring capability that involves generating a suite of ten annual land cover and land surface change datasets across the United States at a 30-m spatial resolution. During the...
Authors
Qiang Zhou, Christopher Barber, George Xian
By
Earth Resources Observation and Science (EROS) Center , Land Change Monitoring, Assessment, and Projection

Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach

Growing demands for temporally specific information on land surface change are fueling a new generation of maps and statistics that can contribute to understanding geographic and temporal patterns of change across large regions, provide input into a wide range of environmental modeling studies, clarify the drivers of change, and provide more timely information for land managers. To meet...
Authors
Jesslyn Brown, Heather Tollerud, Christopher Barber, Qiang Zhou, John Dwyer, James Vogelmann, Thomas Loveland, Curtis Woodcock, Stephen Stehman, Zhe Zhu, Bruce Pengra, Kelcy Smith, Josephine Horton, George Xian, Roger Auch, Terry Sohl, Kristi Sayler, Alisa Gallant, Daniel Zelenak, Ryan Reker, Jennifer Rover
By
Earth Resources Observation and Science (EROS) Center , Land Change Monitoring, Assessment, and Projection

Training data selection for annual land cover classification for the LCMAP initiative Training data selection for annual land cover classification for the LCMAP initiative

The U.S. Geological Survey’s Land Change Monitoring, Assessment, and Projection (LCMAP) initiative characterizes changes in land cover, use, and condition with the goal of producing land change information that improves understanding of the earth system and provides insight into the impacts of land change on society. For LCMAP, all available high-quality data from the Landsat archive is...
Authors
Qiang Zhou, Heather Tollerud, Christopher Barber, Kelcy Smith, Daniel Zelenak
By
Earth Resources Observation and Science (EROS) Center , Land Change Monitoring, Assessment, and Projection
EROS Workshop Offers First Look at Land Change Monitoring, Assessment, and Projection Products

EROS Workshop Offers First Look at Land Change Monitoring, Assessment, and Projection Products

The mapping and classification of land use and land cover has long been a primary duty for the U.S. Geological Survey (USGS), and remotely-sensed data...

Read Article

Science and Products

A map depicting the 5000 random sample plots used the Annual NLCD Collection 1.0 accuracy assessment.

Reference and Validation

The Annual NLCD Reference & Validation (R&V) is designed to support the development of consistent land cover and land cover change products and data. The R&V process involves collecting reference data to validate Anderson Level II land cover classes and change products across the United States. The R&V team gathers, organizes, and refines an independent reference datasets to generate validation...
By
Earth Resources Observation and Science (EROS) Center
Reference and Validation

Reference and Validation

The Annual NLCD Reference & Validation (R&V) is designed to support the development of consistent land cover and land cover change products and data. The R&V process involves collecting reference data to validate Anderson Level II land cover classes and change products across the United States. The R&V team gathers, organizes, and refines an independent reference datasets to generate validation...
Learn More
Color satellite image, with photos of Chris Barnes and Chris Barber and the Eyes on Earth podcast logo

Eyes on Earth Episode 40 – Landsat Collection 2 Eyes on Earth Episode 40 – Landsat Collection 2

Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn how a Collections strategy boosts the value of the Landsat archive.
Eyes on Earth Episode 40 – Landsat Collection 2

Eyes on Earth Episode 40 – Landsat Collection 2

Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn how a Collections strategy boosts the value of the Landsat archive.
Learn More

Developing an annual land surface temperature from 1985 to present for select international sites: First Outputs Developing an annual land surface temperature from 1985 to present for select international sites: First Outputs

Surface Urban Heat Island (SUHI) land surface temperature (LST) data is derived from Landsat thermal band. The LST including annual mean LST (MeanLST) and annual maximum LST (AVEMaxLST). The annual mean LST (MeanLST) therefore represents the average of all clear observations in a specific year. The seasonal maximum temperatures were then averaged to represent the annual mean maximum LST...
By
Earth Resources Observation and Science (EROS) Center

Resiliency of land change monitoring efforts to input data resampling Resiliency of land change monitoring efforts to input data resampling

The geometric transformation of remotely sensed imagery from one map projection to another necessitates a data resampling operation which alters the recorded values. The global Landsat archive is made available in the Universal Transverse Mercator (UTM) projection system which preserves geographic shape across small area but introduces small errors in distance and area. As remote sensing...
Authors
Nathan Healey, Christopher Barber, Kelcy Smith, Rohan Mital, Jesslyn Brown, Charles Robison
By
Earth Resources Observation and Science (EROS) Center

Medium spatial resolution mapping of global land cover and land cover change across multiple decades from Landsat Medium spatial resolution mapping of global land cover and land cover change across multiple decades from Landsat

Land cover maps are essential for characterizing the biophysical properties of the Earth’s land areas. Because land cover information synthesizes a rich array of information related to both the ecological condition of land areas and their exploitation by humans, they are widely used for basic and applied research that requires information related to land surface properties (e.g...
Authors
Mark Friedl, Curtis Woodcock, Pontus Olofsson, Zhe Zhu, Thomas R. Loveland, Radost Stanimirova, Paulo Arevalo, Eric Bullock, Kai-Ting Hu, Yingtong Zhang, Konrad Turlej, Katelyn Tarrio, McAvoy Kristina, Noel Gorelick, Jonathan Wang, Christopher Barber, Carlos Souza Jr.
By
Earth Resources Observation and Science (EROS) Center

Methods for rapid quality assessment for national-scale land surface change monitoring Methods for rapid quality assessment for national-scale land surface change monitoring

Providing rapid access to land surface change data and information is a goal of the U.S. Geological Survey. Through the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative, we have initiated a monitoring capability that involves generating a suite of ten annual land cover and land surface change datasets across the United States at a 30-m spatial resolution. During the...
Authors
Qiang Zhou, Christopher Barber, George Xian
By
Earth Resources Observation and Science (EROS) Center , Land Change Monitoring, Assessment, and Projection

Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach

Growing demands for temporally specific information on land surface change are fueling a new generation of maps and statistics that can contribute to understanding geographic and temporal patterns of change across large regions, provide input into a wide range of environmental modeling studies, clarify the drivers of change, and provide more timely information for land managers. To meet...
Authors
Jesslyn Brown, Heather Tollerud, Christopher Barber, Qiang Zhou, John Dwyer, James Vogelmann, Thomas Loveland, Curtis Woodcock, Stephen Stehman, Zhe Zhu, Bruce Pengra, Kelcy Smith, Josephine Horton, George Xian, Roger Auch, Terry Sohl, Kristi Sayler, Alisa Gallant, Daniel Zelenak, Ryan Reker, Jennifer Rover
By
Earth Resources Observation and Science (EROS) Center , Land Change Monitoring, Assessment, and Projection

Training data selection for annual land cover classification for the LCMAP initiative Training data selection for annual land cover classification for the LCMAP initiative

The U.S. Geological Survey’s Land Change Monitoring, Assessment, and Projection (LCMAP) initiative characterizes changes in land cover, use, and condition with the goal of producing land change information that improves understanding of the earth system and provides insight into the impacts of land change on society. For LCMAP, all available high-quality data from the Landsat archive is...
Authors
Qiang Zhou, Heather Tollerud, Christopher Barber, Kelcy Smith, Daniel Zelenak
By
Earth Resources Observation and Science (EROS) Center , Land Change Monitoring, Assessment, and Projection
EROS Workshop Offers First Look at Land Change Monitoring, Assessment, and Projection Products

EROS Workshop Offers First Look at Land Change Monitoring, Assessment, and Projection Products

The mapping and classification of land use and land cover has long been a primary duty for the U.S. Geological Survey (USGS), and remotely-sensed data...

Read Article
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