On Demand High Resolution Aerial Imagery In The Upstream Oil & - PowerPoint PPT Presentation

Utilizing Remote Sensing and On Demand High Resolution Aerial Imagery In The Upstream Oil & Gas Environmental Sector Greg Lewis, B.Sc. Senior Environmental Scientist SUSTAINTECH 2017 SustainTech 2017 1

Presentation Outline • What is On-Demand Imagery? • Things to consider • Platform Options and Regulatory Requirements • Remote Sensing Techniques and Image Products • Application Review (QDVA) SustainTech 2017 2

What is On Demand Imagery? • The ability to collect aerial imagery of exactly where it is needed, when it is needed • Situational awareness is key in environmental response and documenting for monitoring SustainTech 2017 3

What is On Demand Imagery? • To be effective, on demand imagery needs to: – Be easy and flexible to deploy – Potential for georeferencing – Have a clear workflow from acquisition to implementation • A picture is worth a thousand words, a timely aerial image and the value created is worth much more. SustainTech 2017 4

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Things to Consider • Spatial extent and number of sites to be captured • Spatial resolution • Frequency of imagery • Type of imagery required (colour, NIR, both) • Potential regulatory restrictions (Transport Canada) SustainTech 2017 6

Imagery Platforms • There are a number of imagery acquisition platforms available • Recent growth in the use of Unmanned Aerial Vehicles (UAV) • End use deliverable and regulatory framework must be considered SustainTech 2017 7

Satellite Traditional Aircraft UAV CLOUD COVER Orbit Low to medium altitude Very large spatial coverage Medium spatial coverage Low altitude Constant Orbit Hours of flight time Small spatial coverage In ability to control Need runway & landing strip Limited flight time Very flexible deployment SustainTech 2017 8

Unmanned Aerial Vehicles (UAV) • Special Flight Operations Certificate (SFOC) – Recommended for commercial operations – Issued by Transport Canada (TC) – Site-specific or blanket certificates – Long lead times (months) • Quickly deployed by qualified field staff • Line of sight requirement SustainTech 2017 9

Unmanned Aerial Vehicles (UAV) • Altitude < 90m AGL • Weather considerations • Needs close access to site and landowner permission • Mission types – Areas typically less than 2 hectares – Industrial sites – Spill sites – Lease sites SustainTech 2017 10

Fixed-Wing Aircraft • Capable of Rapid Response – Certified & portable camera pod – No aircraft modifications required – High availability of aircraft & pilots – Charter license required by aircraft operator • Altitude adjustable, usually 2000’ AGL or higher, cloud cover / haze • Camera pod payload up to 60 pounds SustainTech 2017 11

Fixed-Wing Aircraft • Long Flight Times – 4 to 4.5 hours max, 3 hours typical • Land – No prior permission, no permitting, no site-specific safety training – Large / long areas • Cost Effective – Potential for low cost per area unit SustainTech 2017 12

NIR Imagery and NDVI • Healthy vegetation cellular structure highly reflects near infrared wavelengths as compared to red wavelengths • Normalized Difference Vegetation Index (NDVI) describes this gap and quantifies the amount of biomass 𝑶𝑬𝑾𝑱 = 𝑶𝑱𝑺 − 𝑺𝒇𝒆 𝑶𝑱𝑺 + 𝑺𝒇𝒆 SustainTech 2017 13

Application - Situation • Client had recently completed an acquisition of 250+ sites • Needed a cost effective method of documenting site conditions to effectively develop an environmental program • Focus of assessment on vegetative state of sites SustainTech 2017 14

QDVA • Q uantitative D esktop V egetation A ssessment • Automated evaluation of vegetation variation within areas of interest as compared to background values based on NDVI values • Relative ranking system developed to rank multiple sites SustainTech 2017 15

QDVA Process %𝐼𝑗𝑕ℎ + %𝑁𝑓𝑒𝑗𝑣𝑛 Deliverables 𝑹𝑬𝑾𝑩 𝑺𝒃𝒖𝒋𝒑 = %𝑁𝑓𝑒𝑗𝑣𝑛 𝑀𝑝𝑥 + %𝑀𝑝𝑥 Colour Area of Interest NDVI Background Near Infrared 𝑹𝑬𝑾𝑩 𝑺𝒃𝒐𝒍𝒋𝒐𝒉 = 𝑅𝐸𝑊𝐵 𝑆𝑏𝑢𝑗𝑝 𝐵𝑠𝑓𝑏 𝑝𝑔 𝐽𝑜𝑢𝑓𝑠𝑓𝑡𝑢 𝑅𝐸𝑊𝐵 𝑆𝑏𝑢𝑗𝑝 𝐶𝑏𝑑𝑙𝑕𝑠𝑝𝑣𝑜𝑒 SustainTech 2017 16

Benefits • Efficient comparison for large number of sites • Can provide insight into unknown sites and direction for potential program development • Documentation of site conditions SustainTech 2017 17

Limitations • Automated process only as good as the data coming into the process • Difficult to create a process that works for every site situation SustainTech 2017 18

Further Development • Review and refinement of QDVA ratio and ranking system using ground based field data • Develop a more robust model that potentially can adjust to unique site conditions in a systematic way • Assess UAV based system SustainTech 2017 19

Wrap Up • On demand imagery has become very popular with the explosion of UAV’s • Many things need to be considered for effective application • Remote sensing techniques and models need to be developed to create value for new and unique applications SustainTech 2017 20