Ran Goldblatt

Ran Goldblatt
Designation
Geographic Information System (GIS) and Remote Sensing expert
Body
Dr. Ran Goldblatt is a Geographic Information System (GIS) and Remote Sensing expert with 20+ years of experience in complex geospatial data fusion, analysis and modelling, including development of methodologies and tools for monitoring features of the urban environment and their relation to socio-economic properties of the urban population and urbanicity. He has developed innovative machine learning methodologies and approaches for mapping land cover and land use. He supports organizations such as the World Bank and FEMA in utilizing big data to monitor socio-economic dynamics in the US and in developing countries. He has also initiated, together with the UC Berkeley, the Geo4Dev Initiative, a hub for geospatial data and tools for measurements of developing countries.

Blogs by author

Applications of nighttime light data in international development research

The increasing availability of remotely-sensed measurements of nighttime light intensity across space and time opens the door to new possibilities to understand how the Earth is changing. These…

Mapping the impact of urbanization on vegetation in Nairobi, the 'green city in the sun’

In August 2021, 3ie and New Light Technologies co-led a series of capacity-building workshops with 10 researchers from the African Population and Health Research Center (APHRC) on the potential to…

Geospatial data for measuring vegetation impact on agricultural productivity

In August 2021, 3ie and New Light Technologies co-led a series of capacity-building workshops with 10 researchers from the African Population and Health Research Center (APHRC) on the potential to…

Machine learning and remote sensing: New evaluation tools, especially to measure land-use

In August 2021, 3ie and New Light Technologies co-led a series of capacity-building workshops with 10 researchers from the African Population and Health Research Center on the potential to use…

Despite the hype, do not expect big data to replace traditional surveys anytime soon

The COVID-19 pandemic has created new hype around the potential for new, ‘big’, data sources to revolutionize data collection, and change the landscape of evidence for policy. Non-traditional data…