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Object-based assessment of tree attributes of Acacia tortilis in Bou-Hedma, Tunisia

Kevin Delaplace, Frieke Vancoillie UGent, Robert De Wulf UGent, Donald Gabriëls UGent, Koen De Smet, Mohammed Ouessar, Azaiez Ouled Belgacem and Taamallah Houcine (2010) International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. 38(4).
abstract
Acacia tortilis subsp. raddiana represents the most important woody species in the pre-Saharan zone. It is the only forest tree persisting on the edge of the desert. Due to tree/environment interactions, canopy sub-habitats arise, enabling an increased storage of soil water, soil nutrients and soil oxygen. Depending on their density, they can also reduce erosion and reverse desertification. Soil erosion and desertification are the main problems faced by the UNESCO Biosphere Reserve in South-Tunisia (Bou-Hedma National Park). The restoration of the original woodland cover to combat desertification (particularly) by afforestation and reforestation of Acacia tortilis goes hand in hand with a climate change in the Biosphere Reserve, also influencing rural population outside the Biosphere Reserve. In order to study the different effects of woodland restoration in Bou-Hedma, the number of Acacia trees and their attributes have to be known. High resolution satellite imagery (GeoEye-1), was used with a GEOBIA approach. Field measurement of bole diameter, crown diameter and tree height were collected at > 400 locations. After segmentation, correlations with > 200 object features and tree attributes were calculated. For crown diameter and tree height, high correlations were observed with the features area and GLCM Entropy Layer 4 (90 degrees). Relations between these features and measured tree attributes were modeled, resulting in RMSE values of resp. 1.47 m and 1.62 m for crown diameter estimation and 0.92 m for tree height. The results show that a GEOBIA working strategy is suitable for estimating tree attributes in open forests in semi-arid regions.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
crown diameter estimation, Geographic object-based image analysis (GEOBIA), very high resolution (VHR) satellite data, GeoEye, Acacia tortilis
in
International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
editor
EA Addink and Frieke Vancoillie UGent
volume
38
issue
4
article number
C7
pages
6 pages
publisher
Copernicus Gesellschaft
place of publication
Gottingen, Germany
conference name
3rd International conference of Geographic Object-Based Image Analysis (GEOBIA 2010)
conference location
Ghent, Belgium
conference start
2010-06-29
conference end
2010-07-02
Web of Science type
Proceedings Paper
Web of Science id
000358414100017
ISSN
2194-9034
language
English
UGent publication?
yes
classification
P1
copyright statement
I have retained and own the full copyright for this publication
id
1220288
handle
http://hdl.handle.net/1854/LU-1220288
alternative location
http://geobia.ugent.be/proceedings/papers%20proceedings/Delaplace_182_Object-based%20assessment%20of%20tree%20attributes%20of%20Acacia%20tortilis%20in%20Bou-Hedma,%20Tunisia.pdf
date created
2011-05-09 17:29:40
date last changed
2017-01-02 09:53:00
@inproceedings{1220288,
  abstract     = {Acacia tortilis subsp. raddiana represents the most important woody species in the pre-Saharan zone. It is the only forest tree persisting on the edge of the desert. Due to tree/environment interactions, canopy sub-habitats arise, enabling an increased storage of soil water, soil nutrients and soil oxygen. Depending on their density, they can also reduce erosion and reverse desertification. Soil erosion and desertification are the main problems faced by the UNESCO Biosphere Reserve in South-Tunisia (Bou-Hedma National Park). The restoration of the original woodland cover to combat desertification (particularly) by afforestation and reforestation of Acacia tortilis goes hand in hand with a climate change in the Biosphere Reserve, also influencing rural population outside the Biosphere Reserve. In order to study the different effects of woodland restoration in Bou-Hedma, the number of Acacia trees and their attributes have to be known. High resolution satellite imagery (GeoEye-1), was used with a GEOBIA approach. Field measurement of bole diameter, crown diameter and tree height were collected at {\textrangle} 400 locations. After segmentation, correlations with {\textrangle} 200 object features and tree attributes were calculated. For crown diameter and tree height, high correlations were observed with the features area and GLCM Entropy Layer 4 (90 degrees). Relations between these features and measured tree attributes were modeled, resulting in RMSE values of resp. 1.47 m and 1.62 m for crown diameter estimation and 0.92 m for tree height. The results show that a GEOBIA working strategy is suitable for estimating tree attributes in open forests in semi-arid regions.},
  articleno    = {C7},
  author       = {Delaplace, Kevin and Vancoillie, Frieke and De Wulf, Robert and Gabri{\"e}ls, Donald and De Smet, Koen and Ouessar, Mohammed and Ouled Belgacem, Azaiez and Houcine, Taamallah},
  booktitle    = {International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences},
  editor       = {Addink, EA and Vancoillie, Frieke},
  issn         = {2194-9034},
  keyword      = {crown diameter estimation,Geographic object-based image analysis (GEOBIA),very high resolution (VHR) satellite data,GeoEye,Acacia tortilis},
  language     = {eng},
  location     = {Ghent, Belgium},
  number       = {4},
  pages        = {6},
  publisher    = {Copernicus Gesellschaft},
  title        = {Object-based assessment of tree attributes of Acacia tortilis in Bou-Hedma, Tunisia},
  url          = {http://geobia.ugent.be/proceedings/papers\%20proceedings/Delaplace\_182\_Object-based\%20assessment\%20of\%20tree\%20attributes\%20of\%20Acacia\%20tortilis\%20in\%20Bou-Hedma,\%20Tunisia.pdf},
  volume       = {38},
  year         = {2010},
}

Chicago
Delaplace, Kevin, Frieke Vancoillie, Robert De Wulf, Donald Gabriels, Koen De Smet, Mohammed Ouessar, Azaiez Ouled Belgacem, and Taamallah Houcine. 2010. “Object-based Assessment of Tree Attributes of Acacia Tortilis in Bou-Hedma, Tunisia.” In International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, ed. EA Addink and Frieke Vancoillie. Vol. 38. Gottingen, Germany: Copernicus Gesellschaft.
APA
Delaplace, K., Vancoillie, F., De Wulf, R., Gabriels, D., De Smet, K., Ouessar, M., Ouled Belgacem, A., et al. (2010). Object-based assessment of tree attributes of Acacia tortilis in Bou-Hedma, Tunisia. In EA Addink & F. Vancoillie (Eds.), International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences (Vol. 38). Presented at the 3rd International conference of Geographic Object-Based Image Analysis (GEOBIA 2010), Gottingen, Germany: Copernicus Gesellschaft.
Vancouver
1.
Delaplace K, Vancoillie F, De Wulf R, Gabriels D, De Smet K, Ouessar M, et al. Object-based assessment of tree attributes of Acacia tortilis in Bou-Hedma, Tunisia. In: Addink E, Vancoillie F, editors. International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. Gottingen, Germany: Copernicus Gesellschaft; 2010.
MLA
Delaplace, Kevin, Frieke Vancoillie, Robert De Wulf, et al. “Object-based Assessment of Tree Attributes of Acacia Tortilis in Bou-Hedma, Tunisia.” International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. Ed. EA Addink & Frieke Vancoillie. Vol. 38. Gottingen, Germany: Copernicus Gesellschaft, 2010. Print.