Integration of aerial photography, hyperspectral and SAR data for mangrove characterization

Type Paper
Original languageEnglish
Pages2193-2195
Number of pages3
Publication statusPublished - 2001
Event2001 International Geoscience and Remote Sensing Symposium - Sydney, Australia
Duration: 09 Jul 200113 Jul 2001

Conference

Conference2001 International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARRS 2001
CountryAustralia
CitySydney
Period09 Jul 200113 Jul 2001
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Abstract

In previous studies, the use of time-series of stereo black and white and colour aerial photographs for establishing baseline datasets of mangrove extent and height against which to monitor long-term changes was demonstrated. In this research, our analysis was extended using NASA JPL MODIS-ASTER simulator (MASTER) data to discriminate and map dominant mangrove communities. With the provision of datasets describing the extent, height and species composition of mangroves, related allometric equations and field-based assessments of tree density, fine spatial resolution datasets of total above ground and component biomass can potentially be generated. Such datasets provide a basis for the interpretation of POLSAR backscatter data acquired at different wavelengths and polarisations