Developing an Open Minesite Rehabilitation Platform from Remote Sensor Data

Rehabilitation of mine sites is important for restoring landscapes to an acceptable state after mining operations, to meet community expectations and maintain the public reputation and acceptance of mining organisations. 

The challenge is to conceive a user-friendly platform for minesite environmental and micro-climate data in four dimensions (geographic space and time) that readily allows interrogation of data for analysis, prediction and decision-making about minesite rehabilitation. The challenge will draw on a year’s worth of sensor network data as well as manually collected vegetation ‘biocondition’ survey data from a former surface coal mine. Sensor data covers soil moisture, soil temperature, and soil water holding potential. Climate station data covers air temperature, air humidity, daily rainfall and wind speed and direction.    

Successful outcomes may include: 

• Develop an open platform to easily visualize and analysis sensor data
• Analysis data steams and produce feedback/alert in real time