Pansharpening is an image fusion technique that combines the spatial structure of a high resolution panchromatic image
with the spectral information of a lower resolution multispectral image to produce a high resolution multispectral image.
Image data of the new German RADAR satellite TerraSAR-X were used to sharpen optical multispectral data. To assess
the advantages and limitations of fusion, the interpretability of terrain features at different image resolutions was
determined. We concluded that a resolution ratio of 1:10 (TerraSAR:Multispectral) is optimal to benefit from the
synergism of a SAR/multispectral fusion. Q index and an object-based classification were used to assess fusion quality
and to compare their efficacy to determine the best fusion algorithms. Both approaches are appropriate methods to asses
quality but only on judging some aspects of the fusion products. We conclude that a more comprehensive fusion quality
assessment method still needs to be developed.
Phragmites australis a native marshland species to the North American Atlantic Coast is presently expanding to new
habitats at very high rates. To understand the causes and consequences of this invasion, monitoring programs, especially
at the Gulf Coast, need to be established. The first step to this is to obtain a method for accurate mapping Phragmites
distribution. In this study an object oriented classification approach that combines lidar and multispectral imagery is
proposed. After segmentation of a dataset of three multispectral bands plus a lidar based digital surface model, two
classification methods were explored: a class assignment (CA) and a nearest neighbor classification (NNC). CA requires
more involvement and knowledge form the analyst, but the decisions to be made are better understood than in the NNC.
Both methods performed similarly, and were able to map most of the Phragmites present in the study area. Results show
that the use of multi-source data not only can produce accurate distribution maps for future monitoring, but also guide on
present day surveys and even help in the interpretation of old data to map past conditions.
Conference Committee Involvement (15)
Earth Resources and Environmental Remote Sensing/GIS Applications XV
16 September 2024 | Edinburgh, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications XIV
3 September 2023 | Amsterdam, Netherlands
Earth Resources and Environmental Remote Sensing/GIS Applications XIII
5 September 2022 | Berlin, Germany
Earth Resources and Environmental Remote Sensing/GIS Applications XII
13 September 2021 | Online Only, Spain
Earth Resources and Environmental Remote Sensing/GIS Applications XI
22 September 2020 | Online Only, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications X
10 September 2019 | Strasbourg, France
Earth Resources and Environmental Remote Sensing/GIS Applications
11 September 2018 | Berlin, Germany
Earth Resources and Environmental Remote Sensing/GIS Applications
12 September 2017 | Warsaw, Poland
Earth Resources and Environmental Remote Sensing/GIS Applications
27 September 2016 | Edinburgh, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications
22 September 2015 | Toulouse, France
Earth Resources and Environmental Remote Sensing/GIS Applications
23 September 2014 | Amsterdam, Netherlands
Earth Resources and Environmental Remote Sensing/GIS Applications IV
23 September 2013 | Dresden, Germany
Earth Resources and Environmental Remote Sensing/GIS Applications
25 September 2012 | Edinburgh, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications
20 September 2011 | Prague, Czech Republic
Earth Resources and Environmental Remote Sensing/GIS Applications
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