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Dataset

Applications of Remote Sensing for Impact Evaluation


Geospatial data can play a significant and increasing role in supporting impact evaluations – as well as other stages of the policy process such as design and implementation. And the amount of geospatial data is growing rapidly, whether that’s conventional data that is now tagged with its precise location, remotely collected data from sensors on the ground, drones flown at low levels, or satellites orbiting the earth.

These newly available sources can give us great insight into issues such as the changing coverage of forests, vegetation, crops, water, air quality, buildings and infrastructure, and so on – and often this can be done remotely, at a relatively low cost, and in a very timely fashion. Combining geographical data can also give us a better picture of the spatial relationships between issues – for example helping us develop small area estimates of poverty and other issues. And improved visualization techniques can really bring these analyses to life for decision-makers.

Data and Resources

Additional Info

Field Value
Author(s) Aayush Malik, Douglas Glandon, Sayak Khatua, Jane Hammaker
Last Updated April 29, 2022, 16:55 (UTC)
Created April 18, 2022, 05:00 (UTC)
Stable Link https://colab.research.google.com/drive/16kFhgM2XNhDIic72csHmUda-CxepTKSU
Date 2022-03-02
Publishing Body International Initiative for Impact Evaluation
Content Type Training Materials
Primary Category Environment
Sub Category Terrestrial
Country Name India
Publishing Organization International Initiative for Impact Evaluation
Author(s) Affiliations International Initiative for Impact Evaluation