· Acquisition of DMSV data be linked in real time to acquisition of spatial meta data through global positioning systems (GPS).
· Future studies of this area using DMSV acquire data at 50% overlap to avoid loss of data and to minimise and specular effects of the water bodies.
· Data sets be acquired with consistent sensor characteristics and acquisition times be as short as possible, or data be corrected by the provider for effects such as lens distortion, hot spot, gains and offsets. Data frames be individually checked to ensure conformation to user requirements.
· SpecTerra apply greater electrical interference screening/grounding or isolate the source of electromagnetic interference to the instrument to eliminate interference patterns.
· Future studies of the Peel-Harvey using DMSV data be acquired at a larger IFOV which will have the advantage of reducing the overall number of frames and size of the dates, thus reducing processing times.
· SpecTerra give consideration to the auto-production and provision of mosaiced images to clients as a value added product. Auto-production of the mosaicing procedure will eliminate a large portion of the time/cost for image processing by clients.
· For future water quality assessment a number of ground parties be used for concurrent collection of calibration data over the full extent of the water boundaries including riverine locations.
· Future vegetation assessments include transects from:
· A comparative study be conducted using SPOT imagery at 20m or 10m resolution.
· Existing data be reanalysed for classification of invasive species.
· Future classification be carried out on computer system with faster processing capacity and greater data storage facilities.
· Consideration be given to converting existing mosaic data set to CD-ROM storage for distribution to relevant parties to improve data handling speed and reduce system storage requirements of image processing workstation.
· Upgrade existing Imagine 8.1 software
to overcome shortcomings of mosaic matrix array and georeferencing capability.