Next Article in Journal
The Impact of Seasonality and Response Period on Qualifying the Relationship between Ecosystem Productivity and Climatic Factors over the Eurasian Steppe
Previous Article in Journal
Matrix SegNet: A Practical Deep Learning Framework for Landslide Mapping from Images of Different Areas with Different Spatial Resolutions
Technical Note

Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates

1
Department of Earth System Science and the Center on Food Security and the Environment, Stanford University, Stanford, CA 94305, USA
2
National Bureau of Economic Research, Cambridge, MA 02138, USA
3
Living Standards Measurement Study (LSMS), Data Production and Methods Unit, Development Data Group, The World Bank, Washington, DC 20433, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Jianxi Huang
Remote Sens. 2021, 13(16), 3160; https://doi.org/10.3390/rs13163160
Received: 16 June 2021 / Revised: 21 July 2021 / Accepted: 30 July 2021 / Published: 10 August 2021
Satellite data offer great promise for improving measures related to sustainable development goals. However, assessing satellite estimates is complicated by the fact that traditional ground-based measures of these same outcomes are often very noisy, leading to underestimation of satellite performance. Here, we quantify the amount of noise in traditional measures for three commonly studied outcomes in prior work—agricultural yields, household asset ownership, and household consumption expenditures—and present a theoretical basis for properly characterizing satellite performance in the presence of noisy ground data. We find that for both yield and consumption, repeated ground measures often disagree with each other, with less than half of the variability in one ground measure captured by the other. Estimates of the performance of satellite measures, in terms of squared correlation (r2), which account for this noise in ground data are accordingly higher, and occasionally even double, the apparent performance based on a naïve comparison of satellite and ground measures. Our results caution against evaluating satellite measures without accounting for noise in ground data and emphasize the benefit of estimating that noise by collecting at least two independent ground measures. View Full-Text
Keywords: agriculture; crop yields; household consumption; sustainable development agriculture; crop yields; household consumption; sustainable development
Show Figures

Figure 1

MDPI and ACS Style

Lobell, D.B.; Di Tommaso, S.; Burke, M.; Kilic, T. Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates. Remote Sens. 2021, 13, 3160. https://doi.org/10.3390/rs13163160

AMA Style

Lobell DB, Di Tommaso S, Burke M, Kilic T. Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates. Remote Sensing. 2021; 13(16):3160. https://doi.org/10.3390/rs13163160

Chicago/Turabian Style

Lobell, David B., Stefania Di Tommaso, Marshall Burke, and Talip Kilic. 2021. "Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates" Remote Sensing 13, no. 16: 3160. https://doi.org/10.3390/rs13163160

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop