He said these areas often remain invisible on official maps and in statistical reports. Traditional data collection methods based on household surveys are costly, and census data update cycles can take up to 10 years.
"The use of Earth observation technologies and machine learning makes it possible to create affordable maps with high update frequency," he said.
He added that the new approach will enable real-time monitoring of rapidly developing areas to provide accurate reports on the Sustainable Development Goals (SDGs).
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