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A PDF version of the Workshop details and summaries can be downloaded here.
Workshop 2 Field Sampling to Inform Imaging Spectroscopy Description: 2 Day Field Based Workshop Depart: Sunday 12 September 7:30am / Return: Monday 13 September 4:30pm Venue: Owen Springs National Park Convenor: Simon Jones Cost: $800.00 This workshop will provide and introduction to in situ observations, geographic sampling and linking this information to hyperspectral image data. The workshop will take place over two days in the Owen Springs Reserve, approximately 50km West of Alice Springs. Activities will include: 1. Tour of the park and a geographic sampling exercise 2. Field collection of (ASD) spectral data at selected field sites with a variety of land cover. 3. A synchronous imaging spectrometer flight by Airborne Research Australia. 4. Processing and comparison of ground spectra with imaging spectroscopy. Outcomes:1. Tutorial/ Hands on use of ASD Full range Spectral Radiometer 2. Tutorial on Sample Stratification and site selection. 3. Tutorial on land cover and ecology of an important arid zone ecosystem. More information (FAQ sheet) can be downloaded here. Workshop 3 Field sampling and validation for LiDAR data. Description: 2 Day Field Based Workshop Depart: Friday 17 September 8:00am / Return: Saturday 18 September 5:00pm Venue: Owen Springs National Park Convenor: Alex Lee Cost: $800.00 The primary aim of the proposed LiDAR workshop is to provide a forum for discussion of field calibration and validation of LiDAR data and associated products. Given the range of terrain and vegetation types across the proposed field trip locations, LiDAR products could encompass:
More information (FAQ sheet) can be downloaded here. Workshop 4 Object-Based Image Analysis: From theory to implementation Description: 1 Day Workshop Depart: Monday, 13th September 8:00am Venue: Charles Darwin University Convenor: Tim Whiteside Cost: $300.00 Object-based approaches to satellite and airborne sensor image analysis have become increasingly popular, particularly so with the growing availability and utilisation of high-resolution satellite imagery, such as from the QuickBird, WorldView and GeoEye sensors. This workshop will provide the fundamental concepts behind OBIA, examine methods of extracting information from image segments and how this information can be used to create a knowledge base for classification. A number of showcases of OBIA methodology and applications will also be presented by some of Australia’s leading researchers in the field. Workshop 6 Large Area Land Cover Monitoring in Australia Description: 1 Day Workshop Depart: Monday, 13th September 8:00am Venue: Alice Springs Convention Centre Convenor: Dr. Tony Gill Cost: $300.00 (delegates) / $100 (invited presenters) State and federal government agencies Australia currently direct significant resources into obtaining information from satellite imagery at state and national scales. These groups have and continue to develop methods for pre-processing image data (for example, geometric and radiometric corrections) and extracting estimates of biophysical parameters from the data. At the same time, research is identifying potential new datasets, such as radar, suitable for large-area land cover monitoring. The purpose of the workshop is to bring together government agencies and researchers in the field of large-area landcover monitoring in Australia. The discussion will be focused on:
The expected workshop outcomes are:
Workshop 7 Near Real-Time Remote Sensing for Emergency Response Description: 1 Day Workshop Depart: Monday, 13th September 8:00am Venue: Alice Springs Convention Centre Convenor: Dr. Linlin Ge Cost: $300.00 Remote sensing with airborne and space-borne optical as well as radar sensors has made significantly progress in the last 10 years so that it is now possible to deliver remote sensing products within a couple of hours from the moment the image is taken. Such a near real-time capability of remote sensing has found wide applications in emergency responses to disasters such as bushfires, floods, and earthquakes. This one-day workshop will start with a brief introduction to optical and radar remote sensing to bring every participant up to the speed, followed by a discussion of the strength and weakness of different types of sensors. The workshop will mainly focus on most recent case studies with near real-time remote sensing in response to disasters including but not limited to:
These demonstrations of near real-time remote sensing involved a range of agencies from both Australia and overseas, and included:
Workshop 10
The topics and presentation originally planned to be covered in the Workshop will be included in the main conference Program - Geoscience Applications.
Workshop 11 Part A) Maintaining & Analysing LiDAR Data with ArcGIS. Part B) Delivering large Raster datasets & DEM’s via ArcGIS Description: ½ Day Workshop Depart: Sunday, 12th September 1:00pm Venue: Alice Springs Convention Centre Convenor: Peter Wilmot Cost: $150.00 This workshop will be divided into two parts. Part a) Analysing and Maintaining LiDAR data datasets in ArcGIS, will introduce participants to methods:
Part b) Delivering large raster datasets and DEM’s , will introduce participants to methods:
Workshop 16 ERDAS Technology: A Novel Approach for Desktop to Cloudtop Geoprocessing. Description: ½ Day Workshop Depart: Monday, 13th September 12:30am Venue: Charles Darwin University Convenor: Dipak Paudyal Cost: $150.00 Geospatial authoring solutions enable users to utilise raw data captured from a variety of sources to produce data sets. Users may prepare this data to be used in numerous applications, increasing its versatility and the ability to derive additional information. Thorough and complete data management enables organisations to get the appropriate information to the right people. Organisations need to connect their users to share data. After data has been provisioned, users need to be able to deliver the data customers need, the way they want it and when they need it. This workshop will discuss practical workflow driven ERDAS processes to accomplish the capture through to delivery of Geospatial Information. Workshop 17 Land Surface Phenology Estimation: Theory & Hands-on (focus on Australia) Description: 1 Day Workshop Depart: Monday, 13th September 8:30am Venue: Charles Darwin University Convenor: Jegan Chockalingam & Peter Atkinson Cost: $300.00 This Workshop will be presented by Peter Atkinson and Jegan Chockalingam from the Global Environmental Change and Earth Observation Group, School of Geography, University of Southampton. Climate influences vegetation growth – increased temperature and levels of atmospheric carbon dioxide increase vegetation productivity and carbon sequestration and, hence, modify ecosystem function. Research has shown that an increase in mean global temperature between 1982 and 1999 resulted in an increase in global net vegetation productivity. The prediction, in space and time, of vegetation phenological variables such as time of onset of ‘greenness’, time of end of ‘senescence’, duration of the growing season, rate of ‘green up’ and rate of senescence can provide the information needed to increase understanding of the effects of climate change on vegetation. Availability and extended use of operational vegetation indices like NDVI (Normalised Difference Vegetation Index) and MTCI (MERIS Terrestrial Chlorophyll Index) have facilitated the mapping of land surface phenological variables from local, through regional to global scales. This workshop aims to: 1. Discuss the use of time-series satellite sensor observation (specifically vegetation indices) for understanding vegetation dynamics. 2. Give practical hands-on training to smooth the time-series data using the Fourier technique and extract phenology. 3. Expose users to existing freeware software for land surface phenology estimation. A set of tools have been developed under the ArcMap/ARCGIS software at the University of Southampton called PHENOMAP. The participants will be given a test data set and a practical demonstration will be given to execute each step including: correcting obvious errors in the time-series satellite data; smoothing the data using Fourier techniques; extracting various base information (like maximum, minimum vegetation index values and their occurrence period, number of peaks in the data, 1st derivative map, rate and sum of growth and flagging errors); extracting spatial variation in the phenological variables. Participants will be able to complete all the processes, within this workshop event, by themselves and assistance will be provided. Also demonstration and usability of other freeware software will be provided. |