The use of hyperspectral remote sensing for mapping the age composition of forest stands
The paper deals with the issue of mapping the age composition of stand groups using hyperspectral imagery acquired by the AISA Eagle VNIR sensor in the Bílý Kříž locality in the Moravian-Silesian Beskids Mts. An object-oriented approach was employed through segmentation and subsequent classification...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Czech Academy of Agricultural Sciences
2012-06-01
|
| Series: | Journal of Forest Science |
| Subjects: | |
| Online Access: | https://jfs.agriculturejournals.cz/artkey/jfs-201206-0005_the-use-of-hyperspectral-remote-sensing-for-mapping-the-age-composition-of-forest-stands.php |
| _version_ | 1797898803693486080 |
|---|---|
| author | O. Skoupý L. Zejdová J. Hanuš |
| author_facet | O. Skoupý L. Zejdová J. Hanuš |
| author_sort | O. Skoupý |
| collection | DOAJ |
| description | The paper deals with the issue of mapping the age composition of stand groups using hyperspectral imagery acquired by the AISA Eagle VNIR sensor in the Bílý Kříž locality in the Moravian-Silesian Beskids Mts. An object-oriented approach was employed through segmentation and subsequent classification by means of Nearest Neighbour (NN) algorithm in the environment of eCognition Developer 8 and artificial neural network (ANN) classification provided by ENVI 4.7 software. Because of the dominant occurrence of Norway spruce (Picea abies [L.] Karst.) monocultures in the studied locality the work focuses primarily on the distinguishability of two selected age classes of Norway spruce (10-20 years and 70-80 years). It studies possibilities of a more detailed age estimation of stand groups aged from 10 to 80 years based on the classification into the boundary classes, which shows similarity to dithering based on random algorithm. Comparison with the outline map of the Forest Management Plan shows a correlation (r2 = 0.83) between the spectral characteristics of Norway spruce stands and their age composition. |
| first_indexed | 2024-04-10T08:19:57Z |
| format | Article |
| id | doaj.art-cdea9ef4f8b946bca6a55a119ddb44cc |
| institution | Directory Open Access Journal |
| issn | 1212-4834 1805-935X |
| language | English |
| last_indexed | 2024-04-10T08:19:57Z |
| publishDate | 2012-06-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Journal of Forest Science |
| spelling | doaj.art-cdea9ef4f8b946bca6a55a119ddb44cc2023-02-23T03:42:21ZengCzech Academy of Agricultural SciencesJournal of Forest Science1212-48341805-935X2012-06-0158628729710.17221/86/2011-JFSjfs-201206-0005The use of hyperspectral remote sensing for mapping the age composition of forest standsO. Skoupý0L. Zejdová1J. Hanuš2Department of Geoinformation Technologies, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech RepublicDepartment of Geoinformation Technologies, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech RepublicGlobal Change Research Centre AS CR, Brno, Czech RepublicThe paper deals with the issue of mapping the age composition of stand groups using hyperspectral imagery acquired by the AISA Eagle VNIR sensor in the Bílý Kříž locality in the Moravian-Silesian Beskids Mts. An object-oriented approach was employed through segmentation and subsequent classification by means of Nearest Neighbour (NN) algorithm in the environment of eCognition Developer 8 and artificial neural network (ANN) classification provided by ENVI 4.7 software. Because of the dominant occurrence of Norway spruce (Picea abies [L.] Karst.) monocultures in the studied locality the work focuses primarily on the distinguishability of two selected age classes of Norway spruce (10-20 years and 70-80 years). It studies possibilities of a more detailed age estimation of stand groups aged from 10 to 80 years based on the classification into the boundary classes, which shows similarity to dithering based on random algorithm. Comparison with the outline map of the Forest Management Plan shows a correlation (r2 = 0.83) between the spectral characteristics of Norway spruce stands and their age composition.https://jfs.agriculturejournals.cz/artkey/jfs-201206-0005_the-use-of-hyperspectral-remote-sensing-for-mapping-the-age-composition-of-forest-stands.phpage classificationforestryhyperspectralobject orientedsegmentationspruce |
| spellingShingle | O. Skoupý L. Zejdová J. Hanuš The use of hyperspectral remote sensing for mapping the age composition of forest stands Journal of Forest Science age classification forestry hyperspectral object oriented segmentation spruce |
| title | The use of hyperspectral remote sensing for mapping the age composition of forest stands |
| title_full | The use of hyperspectral remote sensing for mapping the age composition of forest stands |
| title_fullStr | The use of hyperspectral remote sensing for mapping the age composition of forest stands |
| title_full_unstemmed | The use of hyperspectral remote sensing for mapping the age composition of forest stands |
| title_short | The use of hyperspectral remote sensing for mapping the age composition of forest stands |
| title_sort | use of hyperspectral remote sensing for mapping the age composition of forest stands |
| topic | age classification forestry hyperspectral object oriented segmentation spruce |
| url | https://jfs.agriculturejournals.cz/artkey/jfs-201206-0005_the-use-of-hyperspectral-remote-sensing-for-mapping-the-age-composition-of-forest-stands.php |
| work_keys_str_mv | AT oskoupy theuseofhyperspectralremotesensingformappingtheagecompositionofforeststands AT lzejdova theuseofhyperspectralremotesensingformappingtheagecompositionofforeststands AT jhanus theuseofhyperspectralremotesensingformappingtheagecompositionofforeststands AT oskoupy useofhyperspectralremotesensingformappingtheagecompositionofforeststands AT lzejdova useofhyperspectralremotesensingformappingtheagecompositionofforeststands AT jhanus useofhyperspectralremotesensingformappingtheagecompositionofforeststands |