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  • 1.
    Ammenberg, Petra
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Lindell, Tommy
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Automated change detection of bleached coral reef areas2002In: Proceedings of 7th International Conference, Remote Sensing for Marine and Coastal Environments, 2002Conference paper (Other academic)
    Abstract [en]

    Recent dramatic bleaching events on coral reefs have enhanced the need for global environmental monitoring. This paper investigates the value of present high spatial resolution satellites to detect coral bleaching using a change detection technique. We compared an IRS LISS-III image taken during the 1998 bleaching event in Belize to images taken before the bleaching event. The sensitivity of the sensors was investigated and a simulation was made to estimate the effect of sub-pixel changes. A manual interpretation of coral bleaching, based on differences between the images, was performed and the outcome were compared to field observations. The spectral characteristics of the pixels corresponding to the field observations and the manually interpreted bleachings have been analysed and compared to pixels from unaffected areas.

  • 2.
    Flink, P
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Lindell, T
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Östlund, C
    Statistical analysis of hyperspectral data from two Swedish lakes2001In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 268, no 1-3, p. 155-169Article in journal (Refereed)
    Abstract [en]

    CASI data has been collected from two lakes in Sweden. In this paper. some statistical properties of CASI spectral data have been discussed. Principal component analysis is used for assessing the dimensionality of the data and the principal components wer

  • 3.
    Lindell, Tommy
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Ammenberg, Petra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Mapping of coral bottoms from different high resolution satellite images2002In: Proc. 29th International Symposium on Remote Sensing of Environment, 2002, p. 4-Conference paper (Refereed)
    Abstract [en]

    Recent dramatic bleaching events on coral reefs have enhanced the need for global environmental monitoring. This paper investigates the value of present high spatial resolution satellites to detect coral bleaching using a change detection technique. We compared an IRS LISS-III image taken during the 1998 bleaching event in Belize to images taken before the bleaching event. The sensitivity of the sensors was investigated and a simulation was made to estimate the effect of sub-pixel changes. A manual interpretation of coral bleaching, based on differences between the images, was performed and the outcome were compared to field observations. The spectral characteristics of the pixels corresponding to the field observations and the manually interpreted bleachings have been analysed and compared to pixels from unaffected areas.

  • 4.
    Lindell, Tommy
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Philipson, Petra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Can coral reefs be monitored from space?2003In: AMBIO, ISSN 0044-7447, Vol. 32, no 8, p. 586-593Article in journal (Refereed)
    Abstract [en]

    The dramatic bleaching events on the coral reefs recently have enhanced the need for environmental monitoring. Remote sensing is an important constituent in a system for both local and global monitoring of reefs, and it can be an invaluable complement to field observations. This paper discusses the possibilities and limitations of present high resolution satellites for mapping and monitoring coral reefs and the need for more specific sensors for this purpose in the future. We can assume that the sensors with the best spatial and radiometric resolution available today, e.g. IKONOS, can be useful for local area mapping and for monitoring of coral bleaching, but the cost for those images makes it difficult to use them in global surveys. However, our present coral bleaching studies indicate that massive bleaching could be detected even from satellites with lower resolution, like Landsat, SPOT and IRS, and be used for coarser global mapping and for updating purposes. To monitor in more detail what is happening requires both good spatial resolution and better spectral resolution than the one available in the sensors mentioned above. In the future, it is necessary to have a more reef specific sensor with a few specially selected narrow bands and a good spatial, radiometric and temporal resolution.

  • 5.
    Lindell, Tommy
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Philipson, Petra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    National classification of Swedish shoreline types, from Landsat-7 data2004In: Proc. 12th Australasian Remote Sensing and Photogrammetry Conference, 2004, p. 8-Conference paper (Other academic)
  • 6.
    Lindell, Tommy
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis.
    Philipsson, Petra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis.
    Categorization of coral reef bottoms for change detection using IKONOS2003In: Proceedings of the 30th International Symposium on Remote Sensing of Environment, Honolulu, Hawaii, USA, November 10-14, 2003, 2003Conference paper (Other academic)
  • 7.
    Åhlén, Julia
    et al.
    Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Sundgren, David
    KTH.
    Lindell, Tommy
    Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Bengtsson, Ewert
    Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
    Dissolved Organic Matters Impact on Colour2005In: Image Analysis: 14th Scandinavian Conference, SCIA 2005, 2005, p. 1148-1156Conference paper (Refereed)
    Abstract [en]

    The natural properties of water column usually affect under-water

    imagery by suppressing high-energy light. In application such as

    color correction of underwater images estimation of water column parameters is crucial. Diffuse attenuation coefficients are estimated and used for further processing of underwater taken data. The coefficients will give information on how fast light of different wavelengths decreases with increasing depth. Based on the exact depth measurements and data from a spectrometer the calculation of downwelling irradiance will be done. Chlorophyll concentration and a yellow substance factor contribute to a great variety of values of attenuation coefficients at different depth. By taking advantage of variations in depth, a method is presented to

    estimate the in uence of dissolved organic matters and chlorophyll on color correction. Attenuation coefficients that depends on concentration of dissolved organic matters in water gives an indication on how well any spectral band is suited for color correction algorithm.

1 - 7 of 7
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