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15 August 2012

Correction on “Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter”

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1
Department of Geoinformation for Environmental Planning, Technische Universität Berlin, Straße des 17. Juni 145, D-10623 Berlin, Germany
2
Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Nienburger Str. 1, D-30167 Hannover, Germany
3
Luftbild Umwelt Planung GmbH Potsdam, Große Weinmeisterstraße 3a, D-14469 Potsdam, Germany
*
Author to whom correspondence should be addressed.
This article belongs to the Special Issue Remote Sensing in Support of Environmental Policy
We found a mistake in the swath detection rule in Section 2.4 [1]. Specifically, the percent deviation calculation in the definition of the signal changes D1 and D2 and axiom A2 are altered. The correct version shall be:
Consequently, the proposed rule for the detection of swath events consists of two axioms (A1 and A2) that need to be satisfied. For the signal backscatter (σ°) at a specific acquisition order number (k) of the acquired scene in the time series (N), the positive or negative signal changes in percent deviation for the first (D1) and second (D2) acquisition after a potential swath event are considered as:
D 1 = ( σ 0 ( k ) σ 0 ( k 1 ) )     /     ( σ 0 ( k ) )     ×     100 D 2 = ( σ 0 ( k + 1 ) σ 0 ( k ) )     /     ( ( σ 0 ( k ) ) × 100
The second axiom focuses on the absolute magnitude of signal change:
| D 1 | i = 1 N | σ 0 ( i 1 ) σ 0 ( i ) | N /     ( σ 0 ( i ) ) × 100     , where     i ,     D 1     10 % AND | D 2 | i = 1 N | σ 0 ( i 1 ) σ 0 ( i ) | N /     ( σ 0 ( i ) ) × 100     , where     i ,     D 2     5 %
If (A1) and (A2) are satisfied then:
σ 0 ( k ) swath

References

  1. Schuster, C.; Ali, I.; Lohmann, P.; Frick, A.; Förster, M.; Kleinschmit, B. Towards detecting swath events in TerraSAR-X time series to establish NATURA 2000 grassland habitat swath management as monitoring parameter. Remote Sens 2011, 3, 1308–1322. [Google Scholar]

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