Clearcut Mapping For Sustainable Forest Management Using TerraSAR-X Imagery

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

The potential of TerraSAR-X imagery for forest cutting monitoring was experimentally investigated in images over Kuortane, Finland. In this study, 10 dual-polarised change detection indices were tested versus a ground truth of clearcuts done between the acquisition dates. Preliminary results suggest the decrease of entropy and the increase of coherence at X-band could be good change detection indices. Results were probably affected by adverse weather conditions during the acquisition of the second scene.

Original languageEnglish
Title of host publicationProceedings of 2008 IEEE International Conference on Geoscience and Remote Sensing Symposium IGARSS 2008, Boston, Massachussets, USA
PublisherInstitute of Electrical and Electronic Engineers IEEE
PagesIV647-IV650
Volume4
Edition1
ISBN (Print)978-1-4244-2807-6
DOIs
Publication statusPublished - 1 Dec 2008
MoE publication typeA4 Article in a conference publication
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Boston, United States
Duration: 6 Jul 200811 Jul 2008

Conference

Conference2008 IEEE International Geoscience and Remote Sensing Symposium
CountryUnited States
CityBoston
Period6/07/0811/07/08

Fingerprint

TerraSAR-X
Forestry
clearcutting
forest management
imagery
Entropy
Monitoring
entropy
monitoring
index
detection
cutting (process)
weather condition

Keywords

  • Change detection
  • Clearcuts
  • Dual-polarisation
  • SAR
  • TerraSAR-X

Cite this

Molinier, M., Rauste, Y., & Hame, T. (2008). Clearcut Mapping For Sustainable Forest Management Using TerraSAR-X Imagery. In Proceedings of 2008 IEEE International Conference on Geoscience and Remote Sensing Symposium IGARSS 2008, Boston, Massachussets, USA (1 ed., Vol. 4, pp. IV647-IV650). [4779805] Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/IGARSS.2008.4779805
Molinier, Matthieu ; Rauste, Yrjo ; Hame, Tuomas. / Clearcut Mapping For Sustainable Forest Management Using TerraSAR-X Imagery. Proceedings of 2008 IEEE International Conference on Geoscience and Remote Sensing Symposium IGARSS 2008, Boston, Massachussets, USA. Vol. 4 1. ed. Institute of Electrical and Electronic Engineers IEEE, 2008. pp. IV647-IV650
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Molinier, M, Rauste, Y & Hame, T 2008, Clearcut Mapping For Sustainable Forest Management Using TerraSAR-X Imagery. in Proceedings of 2008 IEEE International Conference on Geoscience and Remote Sensing Symposium IGARSS 2008, Boston, Massachussets, USA. 1 edn, vol. 4, 4779805, Institute of Electrical and Electronic Engineers IEEE, pp. IV647-IV650, 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, United States, 6/07/08. https://doi.org/10.1109/IGARSS.2008.4779805

Clearcut Mapping For Sustainable Forest Management Using TerraSAR-X Imagery. / Molinier, Matthieu; Rauste, Yrjo; Hame, Tuomas.

Proceedings of 2008 IEEE International Conference on Geoscience and Remote Sensing Symposium IGARSS 2008, Boston, Massachussets, USA. Vol. 4 1. ed. Institute of Electrical and Electronic Engineers IEEE, 2008. p. IV647-IV650 4779805.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - The potential of TerraSAR-X imagery for forest cutting monitoring was experimentally investigated in images over Kuortane, Finland. In this study, 10 dual-polarised change detection indices were tested versus a ground truth of clearcuts done between the acquisition dates. Preliminary results suggest the decrease of entropy and the increase of coherence at X-band could be good change detection indices. Results were probably affected by adverse weather conditions during the acquisition of the second scene.

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Molinier M, Rauste Y, Hame T. Clearcut Mapping For Sustainable Forest Management Using TerraSAR-X Imagery. In Proceedings of 2008 IEEE International Conference on Geoscience and Remote Sensing Symposium IGARSS 2008, Boston, Massachussets, USA. 1 ed. Vol. 4. Institute of Electrical and Electronic Engineers IEEE. 2008. p. IV647-IV650. 4779805 https://doi.org/10.1109/IGARSS.2008.4779805