55 Works

LandScan USA 2016

Amy Rose, Eric Weber, Jessica Moehl, Melanie Laverdiere, Hsiuhan Yang, Matthew Whitehead, Kelly Sims, Nathan Trombley & Budhendra Bhaduri
LandScan USA Population Database 2016 provides estimated population counts at 3 arc-second resolution for Nighttime and Daytime, for the Continental United States, Hawaii, and Alaska. Residents, Prisoners, Workers, Students, and Shoppers are modeled. These are baseline population estimates, which do not include transitory populations such as business travelers and tourists. Nighttime population estimates at 3 arc-second resolution are also available for Puerto Rico.

LandScan Global 2007

Edward Bright, Phillip Coleman, Amy King & Amy Rose
Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts...

LandScan Global 2009

Edward Bright, Phillip Coleman, Amy Rose & Marie Urban
Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts...

LandScan Global 2014

Edward Bright, Amy Rose & Marie Urban
Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts...

LandScan USA 2021

Eric Weber, Jessica Moehl, Spencer Weston, Amy Rose, Christa Brelsford & Taylor Hauser
LandScan USA Population Database 2021 provides estimated population counts at 3 arc-second resolution for Nighttime and Daytime, for the contiguous United States, Hawaii, Alaska, American Samoa, Guam, Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. Residents, Prisoners, Workers, Students, and Shoppers are modeled. These are baseline population estimates, which do not include transitory populations such as business travelers and tourists.

LandScan HD Nigeria v1.0

Eric Weber, Jeanette Weaver, Jacob McKee, Melanie Laverdiere, Kelly Sims, Dilip Patlolla, Jiangye Yuan, Anil Cheriyadat, Jessica Moehl, Brian Moore, Lora Meadows, Joe Pyle, Darrell Roddy, Jeff Manning, Rusty Dryman, Anna Zerr, Kelly Measom, Jared Cleghorn, Gene Bailey, Robert Friedrichs, John Buerhaus, Evan Needham, Sean Reid, Cassidy Levy, J Cooper … & St. Thomas LeDoux
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD Venezuela v1.0

Jacob McKee, Melanie Laverdiere, Hsiuhan Yang, Benjamin Swan, Andrew Reith, Amy Rose, Taylor Hauser, Darrell Roddy, Joe Pyle & Mary Ann O'Shell
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD Afghanistan v2.0

Jacob McKee, Eric Weber, Melanie Laverdiere, Benjamin Swan, Hsiuhan Yang, Andrew Reith, Marie Urban & Amy Rose
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD Cuba v1.0

Jacob McKee, Eric Weber, Melanie Laverdiere, Benjamin Swan, Hsiuhan Yang, Andrew Reith, Marie Urban & Amy Rose
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD South Sudan v1.0

Eric Weber, Jacob McKee, Melanie Laverdiere, Benjamin Swan, Hsiuhan Yang, Marie Urban & Amy Rose
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan Global 2012

Edward Bright, Amy Rose & Marie Urban
Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts...

LandScan USA 2018

Amy Rose, Eric Weber, Jessica Moehl, Melanie Laverdiere, Hsiuhan Yang, Matthew Whitehead, Nathan Trombley, Kelly Sims, Carrie Whitlock & Budhendra Bhaduri
LandScan USA Population Database 2018 provides estimated population counts at 3 arc-second resolution for Nighttime and Daytime, for the Continental United States, Hawaii, and Alaska. Residents, Prisoners, Workers, Students, and Shoppers are modeled. These are baseline population estimates, which do not include transitory populations such as business travelers and tourists. Nighttime population estimates at 3 arc-second resolution are also available for Puerto Rico.

LandScan Global 2002

Edward Bright & Phillip Coleman
Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts...

LandScan Global 2015

Edward Bright, Amy Rose & Marie Urban
Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts...

LandScan Global 2008

Edward Bright, Phillip Coleman, Amy King, Amy Rose & Marie Urban
Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts...

LandScan Global 2000

Edward Bright & Phillip Coleman
Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts...

LandScan USA 2020

Eric Weber, Jessica Moehl, Spencer Weston, Amy Rose & Kelly Sims
LandScan USA Population Database 2020 provides estimated population counts at 3 arc-second resolution for Nighttime and Daytime, for the contiguous United States, Hawaii, Alaska, American Samoa, Guam, Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. Residents, Prisoners, Workers, Students, and Shoppers are modeled. These are baseline population estimates, which do not include transitory populations such as business travelers and tourists.

LandScan Global 2013

Edward Bright, Amy Rose & Marie Urban
Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts...

LandScan HD Bahrain v1.0

Eric Weber, Eddie Bright, Jeanette Weaver, Jacob McKee, Amy Rose, Anil Cheriyadat & Dilip Patlolla
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD China v1.0

Jacob McKee, Eric Weber, Melanie Laverdiere, Benjamin Swan, Hsiuhan Yang, Andrew Reith, Amy Rose, Jessica Moehl, Sarah Walters, Taylor Hauser, Marie Urban, Darrell Roddy, Joe Pyle & Mary Ann O'Shell
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD Mali v1.0

Jacob McKee, Melanie Laverdiere, Eric Weber, Jessica Moehl, Hsiuhan Yang, Benjamin Swan, Andrew Reith, Marie Urban, Amy Rose, Taylor Hauser, Darrell Roddy, Joe Pyle & Mary Ann O'Shell
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD Iran v1.0

Jacob McKee, Eric Weber, Melanie Laverdiere, Jessica Moehl, Benjamin Swan, Hsiuhan Yang, Andrew Reith, Marie Urban, Taylor Hauser, Amy Rose, Darrell Roddy, Joe Pyle & Mary Ann O'Shell
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD Afghanistan v1.0

Eric Weber, Jeanette Weaver, Jacob McKee, Dalton Lunga, Melanie Laverdiere, Benjamin Swan, Hsiuhan Yang, Marie Urban, Anil Cheriyadat & Dilip Patlolla
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD Lebanon v1.0

Eric Weber, Jacob McKee, Andrew Reith, Melanie Laverdiere, Benjamin Swan, Hsiuhan Yang, Marie Urban & Amy Rose
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

LandScan HD Syria v1.0

Jacob McKee, Andrew Reith, Eric Weber, Melanie Laverdiere, Benjamin Swan, Hsiuhan Yang, Taylor Hauser, Marie Urban, Amy Rose, Darrell Roddy, Joe Pyle & Mary Ann O'Shell
LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using...

Registration Year

  • 2023
    1
  • 2022
    54

Resource Types

  • Dataset
    55