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Satellite imagery analysis for automated global food security forecasting
Author(s): Daniela I. Moody; Steven P. Brumby; Rick Chartrand; Ryan Keisler; Mark Mathis; Carly M. Beneke; David Nicholaeff; Samuel Skillman; Michael S. Warren; Justin Poehnelt
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Paper Abstract

The recent computing performance revolution has driven improvements in sensor, communication, and storage technology. Multi-decadal remote sensing datasets at the petabyte scale are now available in commercial clouds, with new satellite constellations generating petabytes/year of daily high-resolution global coverage imagery. Cloud computing and storage, combined with recent advances in machine learning, are enabling understanding of the world at a scale and at a level of detail never before feasible. We present results from an ongoing effort to develop satellite imagery analysis tools that aggregate temporal, spatial, and spectral information and that can scale with the high-rate and dimensionality of imagery being collected. We focus on the problem of monitoring food crop productivity across the Middle East and North Africa, and show how an analysis-ready, multi-sensor data platform enables quick prototyping of satellite imagery analysis algorithms, from land use/land cover classification and natural resource mapping, to yearly and monthly vegetative health change trends at the structural field level.

Paper Details

Date Published: 8 June 2018
PDF: 1 pages
Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 1064429 (8 June 2018); doi: 10.1117/12.2315960
Show Author Affiliations
Daniela I. Moody, Descartes Labs, Inc. (United States)
Steven P. Brumby, Descartes Labs, Inc. (United States)
Rick Chartrand, Descartes Labs, Inc. (United States)
Ryan Keisler, Descartes Labs, Inc. (United States)
Mark Mathis, Descartes Labs, Inc. (United States)
Carly M. Beneke, Descartes Labs, Inc. (United States)
David Nicholaeff, Descartes Labs, Inc. (United States)
Samuel Skillman, Descartes Labs, Inc. (United States)
Michael S. Warren, Descartes Labs, Inc. (United States)
Justin Poehnelt, Descartes Labs, Inc. (United States)

Published in SPIE Proceedings Vol. 10644:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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