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Remote Sens. 2015, 7(4), 4919-4936; doi:10.3390/rs70404919

Users’ Assessment of Orthoimage Photometric Quality for Visual Interpretation of Agricultural Fields

1
Monitoring Agricultural Resources Unit, Institute for Environment and Sustainability (IES), Joint Research Centre (JRC), European Commission, Via E. Fermi 2749, I-21020 Ispra (VA), Italy
2
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, P.O. box 47, 6700 AA Wageningen, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editors: Ioannis Gitas and Prasad S. Thenkabail
Received: 19 December 2014 / Revised: 12 March 2015 / Accepted: 10 April 2015 / Published: 21 April 2015
View Full-Text   |   Download PDF [4028 KB, uploaded 23 April 2015]   |  

Abstract

Land cover identification and area quantification are key aspects of implementing the European Common Agriculture Policy. Legitimacy of support provided to farmers is monitored using the Land Parcel Identification System (LPIS), with land cover identification performed by visual image interpretation. While the geometric orthoimage quality required for correct interpretation is well understood, little is known about the photometric quality needed for LPIS applications. This paper analyzes the orthoimage quality characteristics chosen by authors as being most suitable for visual identification of agricultural fields. We designed a survey to assess users’ preferred brightness and contrast ranges for orthoimages used for LPIS purposes. Survey questions also tested the influence of a background color on the preferred orthoimage brightness and contrast, the preferred orthoimage format and color composite, assessments of orthoimages with shadowed areas, appreciation of image enhancements and, finally, consistency of individuals’ preferred brightness and contrast settings across multiple sample images. We find that image appreciation is stable at the individual level, but preferences vary across respondents. We therefore recommend that LPIS operators be enabled to personalize photometric settings, such as brightness and contrast values, and to choose the displayed band combination from at least four spectral bands. View Full-Text
Keywords: orthoimage quality assessment; photometric quality; Land Parcel Identification System (LPIS); quality assurance; visual image interpretation orthoimage quality assessment; photometric quality; Land Parcel Identification System (LPIS); quality assurance; visual image interpretation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Tarko, A.; de Bruin, S.; Fasbender, D.; Devos, W.; Bregt, A.K. Users’ Assessment of Orthoimage Photometric Quality for Visual Interpretation of Agricultural Fields. Remote Sens. 2015, 7, 4919-4936.

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