Name
Title | ||
|---|---|---|
Effects of Satellite Revisit Rate and Time-Series Smoothing Method on Throughout-Season Maize Yield Correlation Accuracy |
Abstract | ||
|---|---|---|
Predictions of crop yield made during the growing season aid in crop management and economic planning. Many yield prediction models are made by performing regression between satellite-derived vegetation indices (VI) and yield. This article studied the effects of time-series end date and satellite imaging frequency on the accuracy of VI-yield correlation. Daily, 3-m resolution, multispectral images were obtained over a maize field near Beltsville, MD, USA, in 2018 and 2019. Plot-average green normalized difference vegetation index (GNDVI) was extracted from these images. GNDVI time-series data were resampled to different revisit intervals, gap-filled and smoothed, temporally realigned, and correlated with plot-average yield at every day of the growing season. These experiments were then repeated with data removed from the end of the time-series. All methods tested performed well on time-series ending 72 d or more after green-up in 2019 (R-squared = 0.95) or time-series ending 65 d or more after green-up in 2018 (Flexfit R-squared = 0.92; shape model fitting R-squared = 0.89). All methods had poor correlation for time-series ending prior to the day of peak GNDVI. Mean R-squared values for GNDVI-yield correlations decreased with increasing revisit intervals. These trends were stronger in the 2019 data, with mean R-squared decreasing by more than 0.05 when sampled from 1 to 30-d revisit intervals (Flexfit) or to 22-d revisit intervals (shape model fitting). These findings, along with cloud-contamination statistics, were used to recommend an optimal methodology for yield correlation and an optimal overpass frequency of 1-4 d for future yield-monitoring satellite systems. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSTARS.2021.3129148 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING |
Keywords | DocType | Volume |
Spatial resolution, Vegetation mapping, Satellite broadcasting, Indexes, Correlation, Crops, Earth, Agriculture, CubeSats, maize, multispectral, PlanetScope, remote sensing, yield estimation | Journal | 14 |
ISSN | Citations | PageRank |
1939-1404 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emily Myers | 1 | 0 | 0.68 |
| John P. Kerekes | 2 | 194 | 35.38 |
| Craig Daughtry | 3 | 0 | 0.34 |
| Andrew Russ | 4 | 0 | 0.34 |