Assessing Grassland Moisture and Biomass in Tasmania - the Application of Remote Sensing and Empirical Models for a Cloudy Environment

The operational feasibility of NO AA/AVHRR dataand two semi-empirical moisture models were evalu­ated in the grasslands of southeastern Tasmania (Austra­lia) during the 1988/89 fire season. A limited ground- truthing experiment compared the grassland dry biomass, soil moisture and fuel moisture with the satellite derived NDVI and the Soil Dryness Index (SDI) and the Grass­land Curing Index (GCI). The NDVI gave good results for fuel moisture content (FMC) and soil moisture con­tent (SMC) but unreliable image availability precludes the use of NDVI as a stand alone system for fire managers. The SDI and GCI also performed well in predicting SMC and FMC. Very good results were obtained when the NDVI and the GCI were combined. These results suggest the combination of data will provide both the accuracy and the continuity of information needed for operational use by fire managers. The methods used here could be cheaply and quickly repeated for use in other similar fire prone and cloudy environments. © 1995 IAWF. Printed in U.S.A.