World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

1 Km Fog and Low Stratus Detection Using Pan-sharpened Msg Seviri Data : Volume 5, Issue 3 (26/06/2012)

By Schulz, H. M.

Click here to view

Book Id: WPLBN0003982541
Format Type: PDF Article :
File Size: Pages 38
Reproduction Date: 2015

Title: 1 Km Fog and Low Stratus Detection Using Pan-sharpened Msg Seviri Data : Volume 5, Issue 3 (26/06/2012)  
Author: Schulz, H. M.
Volume: Vol. 5, Issue 3
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Bendix, J., Thies, B., Cermak, J., & Schulz, H. M. (2012). 1 Km Fog and Low Stratus Detection Using Pan-sharpened Msg Seviri Data : Volume 5, Issue 3 (26/06/2012). Retrieved from http://www.ebooklibrary.org/


Description
Description: Laboratory for Climatology and Remote Sensing, Faculty of Geography, Philipps-University, Marburg, Germany. In this paper a new technique for the detection of fog and low stratus in 1 km resolution from MSG SEVIRI data is presented. The method relies on the pan-sharpening of 3 km narrow-band channels using the 1 km high-resolution visible (HRV) channel. As solar and thermal channels had to be sharpened for the technique, a new approach based on an existing pan-sharpening method was developed using local regressions. A fog and low stratus detection scheme originally developed for 3 km SEVIRI data was used as the basis to derive 1 km resolution fog and low stratus masks from the sharpened channels. The sharpened channels and the fog and low stratus masks based on them were evaluated visually and by various statistical measures. The sharpened channels deviate only slightly from reference images regarding their pixel values as well as spatial features. The 1 km fog and low stratus masks are therefore deemed of high quality. They contain many details, especially where fog is restricted by complex terrain in its extent, that cannot be detected in the 3 km resolution.

Summary
1 km fog and low stratus detection using pan-sharpened MSG SEVIRI data

Excerpt
Bendix, J., Thies, B., and Cermak, J.: A feasibility study of daytime fog and low stratus detection with TERRA/AQUA-MODIS over land, J. Appl. Meteorol., 13, 111–125, 2006.; Bensi, P., Aminou, D., Bezy, J. L., Stuhlmann, R., Rodriguez, A., and Tjemkes, S.: Overview of meteosat third generation (MTG) activities, Second MSG RAO Workshop, 9–10 September 2004, Salzburg, Austria, 2004.; Berge, D.: Navlost.eu – Navigation and Positioning Resources, available at: http://www.navlost.eu (last access: 20 March 2012), 2012.; Bugliaro, L. and Mayer, B.: Study on quantitative use of the High Resolution Visible channel onboard the Meteosat Second Generation satellite, final report phase II, Technical Report, EUMETSAT, Darmstadt, Germany, 2004.; Cermak, J.: SOFOS – A new Satellite-Based Operational Fog Observation Scheme, PhD thesis, Philipps-University Marburg, 2006.; Cermak, J. and Bendix, J.: Dynamical nighttime fog/low stratus detection based on Meteosat SEVIRI data: a feasibility study, Pure Appl. Geophys., 164, 1179–1192, 2007.; Cermak, J. and Bendix, J.: A novel approach to fog/low stratus detection using Meteosat 8 data, Atmos. Res., 87, 279–292, 2008.; Cermak, J. and Bendix, J.: Detecting ground fog from space – a microphysics-based approach, Int. J. Remote Sens., 32, 3345–3371, 2011.; Tobler, W.: A computer movie simulating urban growth in the Detroit region, Econ. Geogr., 46, 234–240, 1970.; Cermak, J., Bendix, J., and Dobbermann, M.: FMet – an integrated framework for data processing for operational scientific applications, Comput. Geosci., 34, 1638–1644, 2008.; EUMETSAT: EUMETCast, available at: http://www.eumetsat.int/Home/Main/DataAccess/EUMETCast/index.htm (last access: 20 March 2012), 2012.; Eyre, J. R., Brownscombe, J. L., and Allam, R. J.: Detection of fog at night using Advanced Very High Resolution Radiometer (AVHRR) imagery, Metereol. Mag., 113, 265–271, 1984.; Gultepe, I., Tardif, R., Michaelides, S. C., Cermak, J., Bott, A., Bendix, J., Müller, M. D., Pagowski, M., Hansen, B., Ellrod, G., Jacobs, W., Toth, G., and Cober, S. G.: Fog research: a review of past achievements and future perspectives, Pure Appl. Geophys., 164, 1121–1159, 2007.; Hill, J., Diemer, C., Stöver, O., and Udelhoven, T.: A local correlation approach for the fusion of remote sensing data with spatial resolutions in forestry applications, Int. Arch. Photogramm. Remote Sens., 32, Part 7-4-3 W6, Valladolid, Spain, 3–4 June, 1999.; Joliffe, I. T. and Stephenson, D. B.: Forecast Verification – A Practitioner's Guide in Atmospheric Science, John Wiley & Sons, Chicester, West Sussex, UK, 2003.; Kudoh, J. and Nogucji, S.: Identification of fog with NOAA AVHRR images, IEEE T. Geosci. Remote Sens., 29, 704–709, 1991.; Lee, T. F., Turk, F. J., and Richardson, K.: Stratus and fog products using GOES-8-9 3.9-μm data, Weather Forecast., 12, 664–677, 1997.; Strait, M., Rahmani, S., and Markujev, D.: Evaluation of pan-sharpening methods, Technical Report, UCLA Department of Mathematics, Los Angeles, 2008.; Thomas, C. and Wald, L.: Assessment of the quality of fused products, Pro

 

Click To View

Additional Books


  • Calibrating Airborne Measurements of Air... (by )
  • Development of a High Spectral Resolutio... (by )
  • Eddy Covariance Flux Measurements with a... (by )
  • Comparison of Nlc Particle Sizes Derived... (by )
  • Ground-based Water Vapor Raman Lidar Mea... (by )
  • Effects of Solar Activity and Geomagneti... (by )
  • Co2-gradient Measurements Using a Parall... (by )
  • Operational Total and Tropospheric No2 C... (by )
  • Calibrated High-precision 17OExcess Meas... (by )
  • Max-doas Observations of Aerosols, Forma... (by )
  • Effect of Surface Brdf of Various Land C... (by )
  • An Airborne Perfluorocarbon Tracer Syste... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.