DocumentCode :
3062760
Title :
Assessment of mangrove spatial structure using high-spatial resolution image data
Author :
Kamal, Mustaffa ; Phinn, Stuart ; Johansen, Kristoffer
Author_Institution :
Biophys. Remote Sensing Group, Univ. of Queensland, Brisbane, QLD, Australia
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2609
Lastpage :
2612
Abstract :
Collecting and analyzing data at the correct scale is paramount to the successful implementation of any remote sensing mapping and monitoring activities, including in the mangrove ecosystem. This study investigates the variation of mangrove structural features, e.g. canopy and patch dimensions able to be detected from different remote sensing image pixel sizes. Semi-variograms were used as a tool to identify the spatial scale domain and thresholds for detecting and measuring mangrove features based on original and resampled WorldView-2 images. Our results show a gradual loss of vegetation structure information, i.e. the ability to delineate crowns and gaps, with increasing pixel size beyond 2 m.
Keywords :
geophysical image processing; vegetation mapping; WorldView-2 images; high spatial resolution image data; mangrove canopy dimension; mangrove ecosystem; mangrove patch dimension; mangrove spatial structure assessment; remote sensing image pixel size; remote sensing mapping activity; remote sensing monitoring activity; semivariograms; vegetation structure information; Atmospheric modeling; Educational institutions; Indexes; Remote sensing; Spatial resolution; Vegetation; Vegetation mapping; Mangroves; WorldView-2; multi-scale mapping; semi-variogram; spatial structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723357
Filename :
6723357
Link To Document :
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