Using satellite imagery to understand and promote sustainable development

Abstract

Recent years have witnessed rapid growth in satellite-based approaches to quantifying aspects of land use, especially those monitoring the outcomes of sustainable development programs. Burke et al. reviewed this recent progress with a particular focus on machine-learning approaches and artificial intelligence methods. Drawing on examples mostly from Africa, they conclude that satellite-based methods enhance rather than replace ground-based data collection, and progress depends on a combined approach.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 19, 2021
Source ID
10.1126/science.abe8628

Entities

People

  • Anne Driscoll
  • David Lobell
  • Marshall Burke
  • Stefano Ermon

Organizations

  • National Bureau of Economic Research
  • National Science Foundation
  • Stanford University
  • United States Agency for International Development

Tags

Fields of Study

  • Environmental science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Space Exploration and Orbital Mechanics.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Space
  • Space - Satellites