Natalie Ayers, with contributing authors Shruti Jain and the Atlas AI team
This tutorial provides guidance on creating a machine learning model to identify crop types from satellite imagery and other earth observation data. It follows a process refined...
Satellite imagery of nighttime lights provides a unique perspective on the spread of electric lighting across the globe. While these data are often used to track development,...
Natalie Ayers, with contributing author Emily Aiken
This tutorial will guide the user through the creation of population-weighted wealth maps and statistics for administrative areas of interest. After an explanation of...
Subways are a popular form of public transportation worldwide, given their speed, capacity, and lack of reliance on road infrastructure and conditions. Proponents argue that the...
Vegetation Continuous Fields Datasource for Calculating Deforestation
Information about vegetation coverage of the earth's surface - particularly changes in coverage - enables...
"Jutta Lechterbeck, Kevan Edinborough, Tim Kerig, Ralph Fyfe, Neil Roberts, Stephen Shennan Stephen Shennan"
The transformation of natural landscapes in Middle Europe began in the Neolithic as a result of the introduction of food-producing economies. This paper examines the relation...
This paper describes different change detection techniques, including image differencing, image rationing, image regression and change vector analysis (CVA) to assess their...
Johanna Mård, Giuliano Di Baldassarre, Maurizio Mazzoleni
To understand the spatiotemporal changes of flood risk, we need to determine the way in which humans adapt
and respond to flood events. One adaptation option consists of...
Changes in biodiversity owing to vegetation degradation resulting from widespread
urbanization demands serious attention. However, the connection between vegetation
degradation...
One of the pervasive issues in social and environmental research has been to improve the quality of socioeconomic data in developing countries. Because of the shortcoming of...
Previous work has analyzed whether luminosity data contain useful information for estimating economic output and concluded that there was significant promise for regions with...
C. D. Elvidge, K. E. Baugh, S. J. Anderson, P. C. Sutton, T. Ghosh
We have developed a satellite data derived ''Night Light Development Index'' (NLDI) as a simple, objective, spatially explicit and globally available empirical measurement of...
This study demonstrates estimations of economic activities on global, national, and subnational levels using remote sensing data, with a focus on developing economies. It...
This registry exists to help people discover and share datasets that are available via AWS resources. Learn more about sharing data on AWS.
See all usage examples for datasets...
WorldPop was initiated in October 2013 to combine the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims to provide an open access archive of spatial demographic...
Country exports contain only the AI predicted roads that are missing from OpenStreetMap. Some countries contain only partial data or may be combined with other countries into...
The Earth Observations Group (EOG) is producing a version 1 suite of average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite...
United Nations Office for the Coordination of Humanitarian Affairs
The Humanitarian Data Exchange (HDX) is an open platform for sharing data across crises and organisations. Launched in July 2014, the goal of HDX is to make humanitarian data...
Supported by Google Jigsaw, the GDELT Project monitors the world's broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies...