Next Article in Journal
Semi-Supervised Methods to Identify Individual Crowns of Lowland Tropical Canopy Species Using Imaging Spectroscopy and LiDAR
Previous Article in Journal
European Snow Cover Characteristics between 2000 and 2011 Derived from Improved MODIS Daily Snow Cover Products
Previous Article in Special Issue
An Object-Based Image Analysis Method for Monitoring Land Conversion by Artificial Sprawl Use of RapidEye and IRS Data
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

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

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.
Remote Sens. 2012, 4(8), 2455-2456; https://doi.org/10.3390/rs4082455
Submission received: 28 June 2012 / Accepted: 28 June 2012 / Published: 15 August 2012
(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]

Share and Cite

MDPI and ACS Style

Schuster, C.; Ali, I.; Lohmann, P.; Frick, A.; Förster, M.; Kleinschmit, B. Correction on “Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter”. Remote Sens. 2012, 4, 2455-2456. https://doi.org/10.3390/rs4082455

AMA Style

Schuster C, Ali I, Lohmann P, Frick A, Förster M, Kleinschmit B. Correction on “Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter”. Remote Sensing. 2012; 4(8):2455-2456. https://doi.org/10.3390/rs4082455

Chicago/Turabian Style

Schuster, Christian, Iftikhar Ali, Peter Lohmann, Annett Frick, Michael Förster, and Birgit Kleinschmit. 2012. "Correction on “Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter”" Remote Sensing 4, no. 8: 2455-2456. https://doi.org/10.3390/rs4082455

Article Metrics

Back to TopTop