NESP funded project exploring floodplain inundation patterns in the Daly River catchment
This short course brings together the theoretical concepts of landscape ecology with spatial analysis techniques from remote sensing and GIS to address landscape scale applications of relevance to natural resource management. Landscape ecology is concerned with spatial patterns, in particular spatial heterogeneity across landscapes, the spatial and temporal arrangement of features, and the implications of this patterning for ecosystems. This course takes a practical approach to look at how landscape analysis can be used to quantify pattern to generate land cover and habitat maps using digital image processing techniques and explores spatial pattern analysis techniques in the form of landscape metrics using local applications.
The aim of this course is to provide an introduction to the theory and practice of using remotely sensed data for environmental mapping, monitoring and management applications. The unit incorporates lecture and practical materials, both of which are integral to gaining a thorough understanding of the art and science of remote sensing. Students will learn about the interactions of light with different environmental features, electromagnetic radiation, multispectral and hyperspectral imagery, RADAR, LiDAR, digital image processing, object-based image analysis, and various operational applications of the technology.
Information on landscape-scale patterns in species distributions and community types is vital for ecological science and effective conservation assessment and planning. However, detailed maps of plant community structure at landscape scales seldom …
Geological hazards and their effects are often geographically widespread. Consequently, their effective mapping and monitoring is best conducted using satellite and airborne imaging platforms to obtain broad scale, synoptic coverage. With a multitude …