Techniques for accuracy assessment of tree locations extracted from remotely sensed imagery

Journal of Environmental Management

Volumn 74, Issue 3, 2005, Pages 265-271

  Nelson, Trisalyn ^a,b   Boots, Barry ^a   Wulder, Michael A ^b  

^a WILFRID LAURIER UNIVERSITY   (Canada)

^b PACIFIC FORESTRY CENTRE   (Canada)

Author keywords

Accuracy assessment; Feature extraction; Spatial autocorrelation; Voronoi polygon

Indexed keywords

IMAGE PROCESSING; REMOTE SENSING; TREES (MATHEMATICS);

ACCURACY ASSESSMENT; COMMON SOURCE; ENVIRONMENTAL DATA; FEATURES EXTRACTION; FIELD DATA; INFORMATION CONTENTS; REMOTELY SENSED IMAGERY; SPATIAL AUTOCORRELATIONS; TREE LOCATION; VORONOI POLYGON;

LOCATION;

ACCURACY ASSESSMENT; DATA QUALITY; IMAGE PROCESSING; REMOTE SENSING; SPATIAL RESOLUTION;

ANALYTIC METHOD; ARTICLE; CLUSTER ANALYSIS; CONTROLLED STUDY; ENVIRONMENTAL IMPACT ASSESSMENT; GEOGRAPHIC DISTRIBUTION; IMAGE PROCESSING; NONHUMAN; POPULATION DISTRIBUTION; SCORING SYSTEM; SPATIAL AUTOCORRELATION ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; TREE;

EID: 12144251069     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2004.10.002     Document Type: Article

References (15)

1. E. Avery Forest Measurement 1967 McGraw-Hill New York
2. J. Bogaert R. Rousseau P. Van Hecke I. Impens Alternative area-perimeter ratios for measurement of 2D shape compactness of habitats Applied Mathematics and Computation 11 2000 71-85
3. B. Boots M. Tiefelsdorf Global and local spatial autocorrelation in bounded regular tessellations Journal of Geographical Systems 2 2000 319-348
4. A. Cliff J. Ord Spatial Processes Models and Applications 1981 Pion London
5. R. Congalton Using spatial autocorrelation analysis to explore the errors in maps generated from remotely sensed data Photogrammetric Engineering and Remote Sensing 54 1988 587-592
6. D. Culvenor TIDA: An algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery Computers and Geosciences 28 2002 33-44
7. F. Gebhardt Spatial cluster test based on triplets of districts Computers and Geosciences 27 2001 279-288
8. F. Gougeon D. Leckie D. Paradine I. Scott Individual tree crown species recognition: The Nahmint study International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry 1999 Pacific Forestry Centre Vic., Canada pp. 209-223
9. G. Hay K.O. Niemann Visualizing 3-D texture: A three-dimensional approach to model forest texture The Canadian Journal of Remote Sensing 20 1994 89-107
10. A. Okabe B. Boots K. Sugihara S. Chiu Spatial Tessellations: Concepts and Applications for Voronoi Diagrams second ed. 2000 Wiley Chichester
11. J. Ord A. Getis Local spatial autocorrelation statistics: Distributional issues and an application Geographical Analysis 27 1995 286-306
12. R. Sokal N. Oden B. Thomson Local spatial autocorrelation in biological variables Biological Journal of the Linnean Society 65 1998 41-62
13. G. Upton B. Fingleton Spatial Data Analysis by Example. Volume 1: Point Pattern and Quantitative Data 1985 Wiley Chichester
14. M. Wulder O. Niemann D. Goodenough Local maximum filtering for the extraction of tree location and basal area from high spatial resolution imagery Remote Sensing of Environment 73 2000 103-114
15. M. Wulder O. Niemann D. Goodenough Post-local maximum filtering screening for error reduction 22nd Symposium of the Canadian Remote Sensing Society 2000 pp. 67-74