KOMPSAT-2 geometric quality assessment for measuring the area of European land parcels
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Title: | Main Title: KOMPSAT-2 geometric quality assessment for measuring the area of European land parcels |
Descriptions: | Abstract: Measurement errors in orthorectified images are very important when it comes to checking the subsidies claims made by European farmers. The Control with a Remote Sensing (CwRS) Programme, managed by the GeoCAP and CID actions of the Monitoring Agricultural Resources Unit of the EC Joint Research Centre (JRC), requires the establishment of guidelines to be applied by Member States when using remotely sensed images to verify farmers’ claims under the EU Common Agriculture Policy (CAP) subsidies. The area of land parcels used for farming are verified based on very fine spatial resolution (VHR) orthoimages that must meet specific geometric and visual qualities. As such, all VHR orthoimages used within this context must meet or exceed the EU standard as reported in Kapnias et al. (2008), based on external quality control (EQC). EQC is based on the root mean square error (RMSE) between the true geographic position and the image position of the independent check points (ICPs). The ICPs are points not included in the sensor model parameter estimation process and are derived from an independent source, preferably of higher accuracy. This report presents the applied EQC methodology and the geometric quality results recorded for the four samples of the KOMPSAT-2 (K2) radiometrically corrected images (processing level 1R), acquired over the JRC Maussane Test Site. The key issues identified during the testing based on the limited KOMPSAT-2 sample images that were made available to us are as follows: (a) The 1D RMS errors measured on the final K2 orthoimage after the single scene correction applying either the PCI rigorous model, the PCI RPC-based or the ERDAS RPC-based model are not sensitive to the number of GCPs used if they are well-distributed and range between 9 and 15 (provided a DTM with 0.6 m vertical accuracy), and they are sensitive to the overall off-nadir angle and increase with increasing off-nadir angle, (b) The average 1D RMSE are 2.1 m and 4 m, while the maximum 1D RMSE values are 3.2 m and 6.2 m of easting and northing direction respectively, provided that a DTM with 0.6 m vertical accuracy and GCPs with mean RMSE-X (in X direction) and RMSE-Y (in Y direction) values of 0.6 m are used, and (c) The orthorectified KOMPSAT-2 images do not fall within the accuracy criteria of the CwRS 1:10000 scale requirements, i.e. an absolute 1D RMSE not exceeding 2.5 m, except where the images are characterized by an overall off-nadir angle close to zero degrees, and the rigorous model or first order Rational Polynomial sensor model is applied. Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 109-115 |
Identifier: | 10.5880/TR32DB.KGA92.14 (DOI) |
Related Resource: | Is Part Of 0454-1294 (ISBN) |
Responsible Party
Creators: | Joanna Krystina Nowak Da Costa (Author), Agnieszka Walczynska (Author) |
Contributors: | Victoria Lenz-Wiedemann (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
Publication Year: | 2011 |
Topic
Subjects: | Keywords: Remote Sensing Methods, Remote Sensing |
File Details
Filename: | Nowak_Da_Costa_and_Walczynska_2011_KGA92.pdf |
Data Type: | Text - Book Section |
Sizes: | 1127 Kilobytes 7 Pages |
File Size: | 1.1 MB |
Dates: | Created: 18.11.2010 Issued: 05.10.2011 |
Mime Type: | application/pdf |
Language: | English |
Constraints
Download Permission: | Free |
Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
Metadata Creator: | Constanze Curdt |
Metadata Created: | 05.08.2013 |
Metadata Last Updated: | 11.05.2021 |
Subproject: | Z1 |
Funding Phase: | 2 |
Metadata Language: | English |
Metadata Version: | V50 |
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Page Visits: | 637 |
Metadata Downloads: | 0 |
Dataset Downloads: | 20 |
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