Web Cameras In Automatic Autumn Colour Monitoring
The objective of ForSe - Season Monitoring study was to develop an automatic method to analyze web-camera images of nature. As the outcome the image analysis produces indices that indicate the seasonal development stage of the forest (e.g. degree of autumn colour of deciduous trees). IP web-cameras...
Published in: | IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium |
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Format: | Other Non-Article Part of Journal/Newspaper |
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IEEE Institute of Electrical and Electronic Engineers
2008
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Online Access: | https://cris.vtt.fi/en/publications/910dd564-df53-42cd-aae2-df9f10080431 https://doi.org/10.1109/IGARSS.2008.4779476 |
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ftvttcrispub:oai:cris.vtt.fi:publications/910dd564-df53-42cd-aae2-df9f10080431 2023-05-15T16:06:13+02:00 Web Cameras In Automatic Autumn Colour Monitoring Astola, Heikki Molinier, Matthieu Mikkola, Tapani Kubin, Eero 2008 https://cris.vtt.fi/en/publications/910dd564-df53-42cd-aae2-df9f10080431 https://doi.org/10.1109/IGARSS.2008.4779476 eng eng IEEE Institute of Electrical and Electronic Engineers info:eu-repo/semantics/closedAccess Astola , H , Molinier , M , Mikkola , T & Kubin , E 2008 , Web Cameras In Automatic Autumn Colour Monitoring . in Proceedings of 2008 IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS 2008 . IEEE Institute of Electrical and Electronic Engineers , pp. III824-III827 , IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008 , Boston, MA , United States , 7/07/08 . https://doi.org/10.1109/IGARSS.2008.4779476 change detection SAR dual-polarisation TerraSAR-X clearcuts contributionToPeriodical 2008 ftvttcrispub https://doi.org/10.1109/IGARSS.2008.4779476 2022-10-13T14:04:49Z The objective of ForSe - Season Monitoring study was to develop an automatic method to analyze web-camera images of nature. As the outcome the image analysis produces indices that indicate the seasonal development stage of the forest (e.g. degree of autumn colour of deciduous trees). IP web-cameras of a pilot camera network were programmed to take one image in 15 minute interval on daylight hours during autumn period. One camera was used as a source of the training data (Enontekiö), and one for testing data (Oulanka). The image data was preprocessed to reduce noise and to and spectral angle feature was calculated to compensate the illumination variations between consequential images and within a single image. Selected areas of the training site camera images of autumn season were classified into six classes describing the seasonal status of the leaves (green, light green, yellow, red, brown, fallen). The spectral angle features were calculated for these areas and clustered by K-means into 30 clusters. Class labels were assigned to the cluster centres using k-NN method (k=5). To see the progress of a certain colour class in the time series of images of a test site camera, the classified pixels within selected regions of interest (ROI) were used to produce a continuous season colour index (SCI). The behaviour of the index was compared with a reference classification supplied by phenology experts from Finnish Forest Research Institute (Metla). The results were well in line with the reference classification, and show that the implemented processing chain can be used to obtain a numerical index describing the seasonal status of deciduous leaves' colour. Other Non-Article Part of Journal/Newspaper Enontekiö VTT's Research Information Portal Enontekiö ENVELOPE(23.632,23.632,68.386,68.386) Oulanka ENVELOPE(28.986,28.986,66.455,66.455) IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium III - 824 III - 827 |
institution |
Open Polar |
collection |
VTT's Research Information Portal |
op_collection_id |
ftvttcrispub |
language |
English |
topic |
change detection SAR dual-polarisation TerraSAR-X clearcuts |
spellingShingle |
change detection SAR dual-polarisation TerraSAR-X clearcuts Astola, Heikki Molinier, Matthieu Mikkola, Tapani Kubin, Eero Web Cameras In Automatic Autumn Colour Monitoring |
topic_facet |
change detection SAR dual-polarisation TerraSAR-X clearcuts |
description |
The objective of ForSe - Season Monitoring study was to develop an automatic method to analyze web-camera images of nature. As the outcome the image analysis produces indices that indicate the seasonal development stage of the forest (e.g. degree of autumn colour of deciduous trees). IP web-cameras of a pilot camera network were programmed to take one image in 15 minute interval on daylight hours during autumn period. One camera was used as a source of the training data (Enontekiö), and one for testing data (Oulanka). The image data was preprocessed to reduce noise and to and spectral angle feature was calculated to compensate the illumination variations between consequential images and within a single image. Selected areas of the training site camera images of autumn season were classified into six classes describing the seasonal status of the leaves (green, light green, yellow, red, brown, fallen). The spectral angle features were calculated for these areas and clustered by K-means into 30 clusters. Class labels were assigned to the cluster centres using k-NN method (k=5). To see the progress of a certain colour class in the time series of images of a test site camera, the classified pixels within selected regions of interest (ROI) were used to produce a continuous season colour index (SCI). The behaviour of the index was compared with a reference classification supplied by phenology experts from Finnish Forest Research Institute (Metla). The results were well in line with the reference classification, and show that the implemented processing chain can be used to obtain a numerical index describing the seasonal status of deciduous leaves' colour. |
format |
Other Non-Article Part of Journal/Newspaper |
author |
Astola, Heikki Molinier, Matthieu Mikkola, Tapani Kubin, Eero |
author_facet |
Astola, Heikki Molinier, Matthieu Mikkola, Tapani Kubin, Eero |
author_sort |
Astola, Heikki |
title |
Web Cameras In Automatic Autumn Colour Monitoring |
title_short |
Web Cameras In Automatic Autumn Colour Monitoring |
title_full |
Web Cameras In Automatic Autumn Colour Monitoring |
title_fullStr |
Web Cameras In Automatic Autumn Colour Monitoring |
title_full_unstemmed |
Web Cameras In Automatic Autumn Colour Monitoring |
title_sort |
web cameras in automatic autumn colour monitoring |
publisher |
IEEE Institute of Electrical and Electronic Engineers |
publishDate |
2008 |
url |
https://cris.vtt.fi/en/publications/910dd564-df53-42cd-aae2-df9f10080431 https://doi.org/10.1109/IGARSS.2008.4779476 |
long_lat |
ENVELOPE(23.632,23.632,68.386,68.386) ENVELOPE(28.986,28.986,66.455,66.455) |
geographic |
Enontekiö Oulanka |
geographic_facet |
Enontekiö Oulanka |
genre |
Enontekiö |
genre_facet |
Enontekiö |
op_source |
Astola , H , Molinier , M , Mikkola , T & Kubin , E 2008 , Web Cameras In Automatic Autumn Colour Monitoring . in Proceedings of 2008 IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS 2008 . IEEE Institute of Electrical and Electronic Engineers , pp. III824-III827 , IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008 , Boston, MA , United States , 7/07/08 . https://doi.org/10.1109/IGARSS.2008.4779476 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1109/IGARSS.2008.4779476 |
container_title |
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium |
container_start_page |
III - 824 |
op_container_end_page |
III - 827 |
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1766402121854353408 |