Automatic geographic object based mapping of streambed and riparian zone extent from LiDAR data in a temperate rural urban environment, Australia

Johansen, Kasper, Tiede, Dirk, Blaschke, Thomas, Arroyo, Lara A. and Phinn, Stuart (2011) Automatic geographic object based mapping of streambed and riparian zone extent from LiDAR data in a temperate rural urban environment, Australia. Remote Sensing, 3 6: 1139-1156. doi:10.3390/rs3061139


Author Johansen, Kasper
Tiede, Dirk
Blaschke, Thomas
Arroyo, Lara A.
Phinn, Stuart
Title Automatic geographic object based mapping of streambed and riparian zone extent from LiDAR data in a temperate rural urban environment, Australia
Journal name Remote Sensing   Check publisher's open access policy
ISSN 2072-4292
Publication date 2011-06-01
Sub-type Article (original research)
DOI 10.3390/rs3061139
Open Access Status DOI
Volume 3
Issue 6
Start page 1139
End page 1156
Total pages 18
Place of publication Basel, Switzerland
Publisher M D P I
Language eng
Subject 1900 Earth and Planetary Sciences
Formatted abstract
This research presents a time-effective approach for mapping streambed and riparian zone extent from high spatial resolution LiDAR derived products, i.e., digital terrain model, terrain slope and plant projective cover. Geographic object based image analysis (GEOBIA) has proven useful for feature extraction from high spatial resolution image data because of the capacity to reduce effects of reflectance variations of pixels making up individual objects and to include contextual and shape information. This functionality increases the likelihood of developing transferable and automated mapping approaches. LiDAR data covered parts of the Werribee Catchment in Victoria, Australia, which is characterized by urban, agricultural, and forested land cover types. Field data of streamside vegetation structure and physical form properties were used for both calibration of the mapping routines and validation of the mapping results. To improve the transferability of the rule set, the GEOBIA approach was developed for an area representing different riparian zone environments, i.e., urbanized, agricultural and hilly forested areas. Results show that mapping streambed extent (R2 = 0.93, RMSE = 3.6 m, n = 35) and riparian zone extent (R2 = 0.74, RMSE = 3.9, n = 35) from LiDAR derived products can be automated using GEOBIA to enable derivation of spatial information in an accurate and time-effective manner suited for natural resource management agencies.
Keyword Geographic object based image analysis (GEOBIA)
LiDAR
Streambed
Riparian zone
Australia
Pixel-based object resizing
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Geography, Planning and Environmental Management Publications
 
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