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

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


Conference2001 International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARRS 2001
Period09 Jul 200113 Jul 2001
Permanent link
View graph of relations
Citation formats


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