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קהילה:
אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Using Multispectral Spaceborne Imagery to Assess Mean Tree Height in a Dryland Plantation
Year:
2013
Source of publication :
ISRN Forestry
Authors :
כהן, שבתאי
;
.
Volume :
Co-Authors:

Sprintsin, M.; Berliner, P.; Karnieli, A.

Facilitators :
From page:
1
To page:
8
(
Total pages:
8
)
Abstract:

This study presents an approach for low-cost mapping of tree heights at the landscape level. The proposed method integrates parameters related to landscape (slope, orientation, and topographic height), tree size (crown diameter), and competition (crown competition factor and age), and determines the mean stand tree height as a function of tree competitive capability. The model was calibrated and validated against a standard inventory dataset collected over a dryland planted forest in the eastern Mediterranean region. The validation of the model shows a high and significant level of correlation between measured and modeled datasets (; ), with almost negligible (less than 1 m) levels of absolute and relative errors. The validated model was implemented for mapping mean tree height on a per-pixel basis by using high-spatial-resolution satellite imagery. The resulting map was, in turn, validated against an independent dataset of ground measurements. The presented approach could help to reduce the need for fieldwork in compiling single-tree-based inventories and to apply surface-roughness properties to hydrometeorological studies and regional energy/water-balance evaluation.

Note:
Related Files :
Dryland
imagery
Tree heights
עוד תגיות
תוכן קשור
More details
DOI :
10.1155/2013/485264
Article number:
0
Affiliations:
Database:
גוגל סקולר
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
Article ID 485264
ID:
36670
Last updated date:
02/03/2022 17:27
Creation date:
15/08/2018 14:12
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Scientific Publication
Using Multispectral Spaceborne Imagery to Assess Mean Tree Height in a Dryland Plantation

Sprintsin, M.; Berliner, P.; Karnieli, A.

Using Multispectral Spaceborne Imagery to Assess Mean Tree Height in a Dryland Plantation

This study presents an approach for low-cost mapping of tree heights at the landscape level. The proposed method integrates parameters related to landscape (slope, orientation, and topographic height), tree size (crown diameter), and competition (crown competition factor and age), and determines the mean stand tree height as a function of tree competitive capability. The model was calibrated and validated against a standard inventory dataset collected over a dryland planted forest in the eastern Mediterranean region. The validation of the model shows a high and significant level of correlation between measured and modeled datasets (; ), with almost negligible (less than 1 m) levels of absolute and relative errors. The validated model was implemented for mapping mean tree height on a per-pixel basis by using high-spatial-resolution satellite imagery. The resulting map was, in turn, validated against an independent dataset of ground measurements. The presented approach could help to reduce the need for fieldwork in compiling single-tree-based inventories and to apply surface-roughness properties to hydrometeorological studies and regional energy/water-balance evaluation.

Scientific Publication
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