Bikram BanerjeeAustralian Centre for Sustainable Mining Practices
Bikram Banerjee has a Bachelor’s degree in Electronics and a Master’s degree in Remote Sensing. He is presently pursuing PhD in Australian Centre for Sustainable Mining Practices, School of Mining Engineering, University of New South Wales, Sydney, Australia. He is exploring the potential using high resolution spectral and LiDAR imaging for mapping biophysiochemical attribute of endangered swamp vegetation communities.
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Abstract
Towards precision mine rehabilitation with UAV hyperspectral and LiDAR technologies.
Rehabilitation of mined land is a complex process that requires a detailed understanding and frequent assessments of numerous geo-physical as well as bio-chemical parameters that influence success of a mine closure. It is critical to monitor these parameters such as geomorphology, surface minerology, and soil water content of land as well as vegetation health conditions including their nutritional requirements. Precision mine rehabilitation aims to provide an economically sustainable mine closure solution. Present day technologies such as imaging spectroscopy (hyperspectral) and light detection and ranging (LiDAR) from close range flying platforms such as unmanned aerial vehicles (UAVs)/drones are promising tools towards precision mine rehabilitation. This poster aims to demonstrate a decision support system to formulate optimised and holistic designs to achieve desired post mine landscape with efficient stream segmentation, seeding pattern, fertilizer application workflows using the aforementioned technologies. A regenerating ecosystem remains in a vulnerable state until the complete recovery is attained, thus, careful monitoring of the stress levels is essential for timely interventions. In this regard, ability of these technologies to measure variation in photosynthetic activity to identify areas of water stress, nutritional stress, and pest infestation will also be discussed.
Towards precision mine rehabilitation with UAV hyperspectral and LiDAR technologies.
Rehabilitation of mined land is a complex process that requires a detailed understanding and frequent assessments of numerous geo-physical as well as bio-chemical parameters that influence success of a mine closure. It is critical to monitor these parameters such as geomorphology, surface minerology, and soil water content of land as well as vegetation health conditions including their nutritional requirements. Precision mine rehabilitation aims to provide an economically sustainable mine closure solution. Present day technologies such as imaging spectroscopy (hyperspectral) and light detection and ranging (LiDAR) from close range flying platforms such as unmanned aerial vehicles (UAVs)/drones are promising tools towards precision mine rehabilitation. This poster aims to demonstrate a decision support system to formulate optimised and holistic designs to achieve desired post mine landscape with efficient stream segmentation, seeding pattern, fertilizer application workflows using the aforementioned technologies. A regenerating ecosystem remains in a vulnerable state until the complete recovery is attained, thus, careful monitoring of the stress levels is essential for timely interventions. In this regard, ability of these technologies to measure variation in photosynthetic activity to identify areas of water stress, nutritional stress, and pest infestation will also be discussed.
