Estimating Poverty Using High Resolution Satellite Imagery

Video

Estimating Poverty Using High Resolution Satellite Imagery

Ryan Engstrom discusses developments in satellite imagery and machine learning that can be applied for poverty mapping, what the imagery can tell us, and the process’ key indicators for measuring poverty. See the full session on IEG's YouTube channel.

Additional Info

Topics: Big Data
keywords:
Big Data, Satellite Imagery, Poverty, Poverty Mapping, Disruptive technologies, Disruptive Technology, Decision-making, Decision Making, DT
Language:
English
Learning Mode:
Video
Date Added: May 3, 2017

About the Presenters

Ryan Engstrom

Ryan Engstrom is a co-author with David Newhouse and Jon Hersh of "Poverty from Space" in Sri Lanka. He is currently an Associate Professor in the Department of Geography at George Washington University. He holds a Ph.D. in Geography, jointly from San Diego State University and UC Santa Barbara.

Join the Discussion

DR. YOGENDRA NATH

- Sep 14, 2021

Good.

jose luis

- Sep 5, 2021

bueno

MOHAMMAD

- Jan 25, 2021

Great!

Mariam

- Nov 19, 2020

interesting

Anvar

- Mar 25, 2020

Interesting!

Joy Mildred Adhiambo

- Dec 5, 2019

Estimating Poverty Using High Resolution Satellite Imagery

Monir

- Apr 18, 2019

Excellent

Vedat

- Apr 4, 2019

Estimating Poverty Using High Resolution Satellite Imagery

Arifin

- Apr 3, 2019

Luar biasa

Jafar

- Mar 20, 2019

Luar biasa