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Lindell, Tommy
Alternative names
Publications (7 of 7) Show all publications
Åhlén, J., Sundgren, D., Lindell, T. & Bengtsson, E. (2005). Dissolved Organic Matters Impact on Colour. In: Image Analysis: 14th Scandinavian Conference, SCIA 2005 (pp. 1148-1156).
Open this publication in new window or tab >>Dissolved Organic Matters Impact on Colour
2005 (English)In: Image Analysis: 14th Scandinavian Conference, SCIA 2005, 2005, p. 1148-1156Conference paper, Published 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.

National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-76159 (URN)3-540-26320-9 (ISBN)
Available from: 2006-02-27 Created: 2006-02-27 Last updated: 2018-01-14
Lindell, T. & Philipson, P. (2004). National classification of Swedish shoreline types, from Landsat-7 data. In: Proc. 12th Australasian Remote Sensing and Photogrammetry Conference: . Paper presented at ARSPC 2004, October 18–22, Fremantle, Australia (pp. 8).
Open this publication in new window or tab >>National classification of Swedish shoreline types, from Landsat-7 data
2004 (English)In: Proc. 12th Australasian Remote Sensing and Photogrammetry Conference, 2004, p. 8-Conference paper, Published paper (Other academic)
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-67774 (URN)
Conference
ARSPC 2004, October 18–22, Fremantle, Australia
Available from: 2005-05-23 Created: 2005-05-23 Last updated: 2018-01-10
Lindell, T. & Philipson, P. (2003). Can coral reefs be monitored from space?. AMBIO, 32(8), 586-593
Open this publication in new window or tab >>Can coral reefs be monitored from space?
2003 (English)In: AMBIO, ISSN 0044-7447, Vol. 32, no 8, p. 586-593Article in journal (Refereed) Published
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.

National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-46207 (URN)
Available from: 2005-08-26 Created: 2005-08-26 Last updated: 2018-01-11
Lindell, T. & Philipsson, P. (2003). Categorization of coral reef bottoms for change detection using IKONOS. In: Proceedings of the 30th International Symposium on Remote Sensing of Environment, Honolulu, Hawaii, USA, November 10-14, 2003: . Paper presented at Proceedings of the 30th International Symposium on Remote Sensing of Environment, Honolulu, Hawaii, USA, November 10-14, 2003.
Open this publication in new window or tab >>Categorization of coral reef bottoms for change detection using IKONOS
2003 (English)In: Proceedings of the 30th International Symposium on Remote Sensing of Environment, Honolulu, Hawaii, USA, November 10-14, 2003, 2003Conference paper, Published paper (Other academic)
National Category
Computer and Information Sciences
Research subject
Computerized Image Processing
Identifiers
urn:nbn:se:uu:diva-262332 (URN)
Conference
Proceedings of the 30th International Symposium on Remote Sensing of Environment, Honolulu, Hawaii, USA, November 10-14, 2003
Available from: 2015-09-13 Created: 2015-09-13 Last updated: 2018-01-11
Ammenberg, P. & Lindell, T. (2002). Automated change detection of bleached coral reef areas. In: Proceedings of 7th International Conference, Remote Sensing for Marine and Coastal Environments: . Paper presented at 7th International Conference, Remote Sensing for Marine and Coastal Environments.
Open this publication in new window or tab >>Automated change detection of bleached coral reef areas
2002 (English)In: Proceedings of 7th International Conference, Remote Sensing for Marine and Coastal Environments, 2002Conference paper, Published 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.

National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-42500 (URN)
Conference
7th International Conference, Remote Sensing for Marine and Coastal Environments
Available from: 2005-08-25 Created: 2005-08-25 Last updated: 2018-01-11
Lindell, T. & Ammenberg, P. (2002). Mapping of coral bottoms from different high resolution satellite images. In: Proc. 29th International Symposium on Remote Sensing of Environment: . Paper presented at ISRSE 2002, April 8–12, Buenos Aires, Argentina (pp. 4).
Open this publication in new window or tab >>Mapping of coral bottoms from different high resolution satellite images
2002 (English)In: Proc. 29th International Symposium on Remote Sensing of Environment, 2002, p. 4-Conference paper, Published 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.

National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-42715 (URN)
Conference
ISRSE 2002, April 8–12, Buenos Aires, Argentina
Available from: 2005-08-25 Created: 2005-08-25 Last updated: 2018-01-11
Flink, P., Lindell, T. & Östlund, C. (2001). Statistical analysis of hyperspectral data from two Swedish lakes. Science of the Total Environment, 268(1-3), 155-169
Open this publication in new window or tab >>Statistical analysis of hyperspectral data from two Swedish lakes
2001 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 268, no 1-3, p. 155-169Article in journal (Refereed) Published
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

Keywords
remote sensing; CASI; PCA; chlorophyll; hyperspectral; water quality; THEMATIC MAPPER DATA; INLAND WATERS; QUALITY
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-38361 (URN)10.1016/S0048-9697(00)00686-0 (DOI)
Note
Addresses: Flink P, Uppsala Univ, Ctr Image Anal, Lagerhyddvagen 17, S-75237 Uppsala, Sweden. Uppsala Univ, Ctr Image Anal, S-75237 Uppsala, Sweden.Available from: 2005-08-25 Created: 2005-08-25 Last updated: 2018-01-11Bibliographically approved
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