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

Understanding the errors in input prescription maps based on high spatial resolution remote sensing images - Download this document for free, or read online. Document in PDF available to download.

Precision Agriculture

, Volume 13, Issue 5, pp 581–593

First Online: 17 June 2012


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/

Related documents