Mapping Coastal Vegetation Using an Expert System and Hyperspectral Imagery

Assessing salt-affected soils using remote sensing, solute modelling, and geophysics

“…In this context Bayes theory can be used to update the probability of rules that certain degree of salinity occurs at a given location based on predefined piece of evidence (Duda and Hart, 1973). Such approach was used by Skidmore (1989) and Schmidt et al (2004) for mapping Eucalypt forest type and coastal vegetation respectively. Techniques such as knowledge based systems offer more potential for extracting information from remotely sensed data.…”

A post-classifier for mangrove mapping using ecological data

“…A number of advanced remote sensing applications are, however, left unexplored for the purpose of mangrove mapping at a finer level. The use of ancillary data for vegetation mapping (Berberoglu et al, 2004;Comber et al, 2004;Lehmann and Lenz, 1998;Schmidt et al, 2004;Skidmore et al, 1997a,b) is one of these applications that have successfully been employed for other plants but have never been tested on mangroves. In most cases, ancillary data are extracted from plant-environment relationships, and then incorporated with remotely sensed data into the mapping model in order to improve the quality of the final map.…”

Seasonally-managed wetland footprint delineation using Landsat ETM+ satellite imagery

“…These studies illustrate how vegetation characteristics such as density, vitality, and spatial extent may serve as important ecohydrologic indicators. Remote sensing-based vegetation mapping by Macleod and Congalton (1998), Phinn et al (1999), Harvey and Hill (2001), and Schmidt et al (2004) has been successful at a number of spatial scales. While we can base the legitimacy of remote sensing-based approaches for wetland analysis on these and more recent studies, they have been particularly effective in permanent wetlands in which vegetation composition and extent of flooded area remain relatively static throughout the year.…”