Understanding the errors in input prescription maps based on high spatial resolution remote sensing imagesReport as inadecuate




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Precision Agriculture

, Volume 13, Issue 5, pp 581–593

First Online: 17 June 2012

Abstract

The aim of this study was to determine the positional accuracy of GeoEye-1 images and how it affects the delineation of the input prescription map IPM for site-specific strategies. Seven panchromatic and multi-spectral GeoEye-1 satellite images were taken over the LaVentilla village area Andalusia, Spain, from April to October 2010, at an interval of approximately 3–4 weeks. Sixteen hard-edge ground control points GCPs were geo-referenced using a sub-decimetre DGPS. Each DGPS-GCP position was compared with the corresponding co-ordinates for each image to determine the position error PE and error direction angle \ {\Upphi {\text{ge}}}^{^\circ } \. The PE and \ {\Upphi {\text{ge}}}^{^\circ } \ for each GCP varied slightly for any given GeoEye-1 image and the overall PE among images estimated through the root mean square error RMSE varied considerably. RMSE ranged from approximately 2–9 m and from 3.5 to 9 m for the panchromatic and multi-spectral images studied, respectively, and the average was approximately 6.0 m for each of the series of images. Consequently, the geo-referencing of GeoEye-1 images is recommended to increase the positioning accuracy. Conventional geo-referencing using GCPs provided an average RMSE of 2 m for the panchromatic and 3.5 m for the multi-spectral images. The AUGEO System geo-referencing of the 4-May GeoEye-1 image provided an RMSE of 0.75 m for the panchromatic and 2.70 ± 1.30 m for the multi-spectral images. The IPM delineated from remote-sensed images takes up the image geo-referencing error and, consequently, each micro-plot does not coincide with its corresponding ground-truth micro-plot. In this report, the percentage of non-overlapping area %NOA has been developed as a function of the PE-RMSE, α° the angle between Φge and the operating direction, Φop, and the micro-plot size. The %NOA consistently increased as the RMSE and α° increased, and it decreased as the micro-plot width or length increased. The decision about micro-plot size should be based on the RMSE, α°, and the maximum admissible %NOA. In the case of the GeoEye-1 images studied with an average RMSE of 6 m, a micro-plot size of 6 × 30 m would have yielded an IPM inaccuracy %NOA of approximately 5 %, assuming an α° = 0°.

KeywordsRemote sensing Position error-RMSE Geo-referencing Co-registration Prescription map GeoEye-1 AUGEO software  Download fulltext PDF



Author: David Gómez-Candón - Francisca López-Granados - Juan J. Caballero-Novella - José M. Peña-Barragán - Luis García-Torr

Source: https://link.springer.com/







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