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פותח על ידי קלירמאש פתרונות בע"מ -
Relationships between stand density and canopy structure in a dryland forest as estimated by ground-based measurements and multi-spectral spaceborne images
Year:
2009
Source of publication :
Journal of Arid Environments
Authors :
כהן, שבתאי
;
.
Volume :
73
Co-Authors:
Sprintsin, M., Jacob Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sede Boker Campus, 84990, Israel
Karnieli, A., Jacob Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sede Boker Campus, 84990, Israel
Sprintsin, S., Land Development Authority, Forest Department, Southern Region, Israel
Cohen, S., Institute of Soil, Water and Environmental Sciences, ARO Volcani Center, Bet Dagan, 50250, Israel
Berliner, P., Jacob Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sede Boker Campus, 84990, Israel
Facilitators :
From page:
955
To page:
962
(
Total pages:
8
)
Abstract:
This paper describes evaluation of forest stand density combining satellite imagery with forest inventory data set. The degree of canopy cover is described in terms of fractional vegetation cover (FVC) obtained by a linear mixture model applied on multi-spectral IKONOS image and canopy cover (CC). CC was calculated from field measurements of crown width of 646 standing trees sited within 72 circular (200 m2) plots. A comparison between CC and FVC shows that the former can be accurately represented by the latter linking in-situ measured forest characteristics with surface reflectance measured by a satellite. Stand density expressed as an absolute term (number of trees per unit area) showed high and significant positive correlation to FVC (R2 = 0.96) and to relative density measure (Crown Competition Factor; R2 = 0.89). In order to show the applicability of the presented approach for managerial practices, a map of the spatial distribution of stand density within the forest was produced using the above-mentioned correlations. Its quality was verified against an independent data set of ground measurements. The correlation between field- and map-based number of trees per unit area was found to be satisfactory (R2 = 0.4; p < 0.05), even though a slight lack of sensitivity was evident for low-density stands. © 2009 Elsevier Ltd. All rights reserved.
Note:
Related Files :
allometry
Desert fringe
imaging method
population density
population estimation
remote sensing
stand structure
vegetation cover
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.jaridenv.2009.04.011
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
30866
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:57
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Scientific Publication
Relationships between stand density and canopy structure in a dryland forest as estimated by ground-based measurements and multi-spectral spaceborne images
73
Sprintsin, M., Jacob Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sede Boker Campus, 84990, Israel
Karnieli, A., Jacob Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sede Boker Campus, 84990, Israel
Sprintsin, S., Land Development Authority, Forest Department, Southern Region, Israel
Cohen, S., Institute of Soil, Water and Environmental Sciences, ARO Volcani Center, Bet Dagan, 50250, Israel
Berliner, P., Jacob Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sede Boker Campus, 84990, Israel
Relationships between stand density and canopy structure in a dryland forest as estimated by ground-based measurements and multi-spectral spaceborne images
This paper describes evaluation of forest stand density combining satellite imagery with forest inventory data set. The degree of canopy cover is described in terms of fractional vegetation cover (FVC) obtained by a linear mixture model applied on multi-spectral IKONOS image and canopy cover (CC). CC was calculated from field measurements of crown width of 646 standing trees sited within 72 circular (200 m2) plots. A comparison between CC and FVC shows that the former can be accurately represented by the latter linking in-situ measured forest characteristics with surface reflectance measured by a satellite. Stand density expressed as an absolute term (number of trees per unit area) showed high and significant positive correlation to FVC (R2 = 0.96) and to relative density measure (Crown Competition Factor; R2 = 0.89). In order to show the applicability of the presented approach for managerial practices, a map of the spatial distribution of stand density within the forest was produced using the above-mentioned correlations. Its quality was verified against an independent data set of ground measurements. The correlation between field- and map-based number of trees per unit area was found to be satisfactory (R2 = 0.4; p < 0.05), even though a slight lack of sensitivity was evident for low-density stands. © 2009 Elsevier Ltd. All rights reserved.
Scientific Publication
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