Quantifying indicators of riparian condition in Australian tropical savannas: integrating high spatial resolution imagery and field survey data

摘要: The objectives of this research were: (1) to quantify indicators riparian condition; and (2) assess these for detecting change in condition. Two multi-spectral QuickBird images were acquired 2004 2005 a section the Daly River north Australia. These data collected coincidently with vegetation geomorphic field data. Indicators condition, including percentage canopy cover, organic litter, continuity, bank stability, flood damage, zone width overhang, then mapped. Field measurements indices empirically related using regression analysis develop algorithms mapping litter cover (R 2 = 0.59-0.78). Using standard nearest-neighbour algorithm, object-oriented supervised image classification provided thematic information (overall accuracies 81-90%) overhang. Bank stability damage mapped from combination products 2 = 0.70-0.81). Multi-temporal condition (RCIs) demonstrated advantages continuous discrete values as opposed categorical This demonstrates how remote sensing can be used monitoring zones tropical savannas other environments at scales 1 km 100s km stream length.