Methodology of real-time 3D point cloud mapping with UAV lidar

Candan, Levent; Kacar, E.

doi:10.26833/ijeg.1178260

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…Importantly, stand-alone LiDAR and most other topographic datasets are of limited use unless put into a GIS program such as QGIS, ENVI, or ESRI's ArcGIS Pro to model for site location or to locate features with digital signal enhancement filters, objectbased image analysis (OBIA) algorithms, or convolutional neural networks (CNN). LiDAR is commonly also used for cultural heritage and environmental sciences and can be used in real time from UAVs [18][19][20][21][22]. A simple but powerful quantitative edge enhancement filter that highlights lateral spatial heterogeneity is the total horizontal derivative (THD) filter, commonly used in magnetics data processing [23], but it can also be co-opted for electromagnetic data [24], or any sensor data that are displayed as a raster.…”

Section: Methodsmentioning

confidence: 99%

Successful Integration of UAV Aeromagnetic Mapping with Terrestrial Methane Emissions Surveys in Orphaned Well Remediation

de Smet,

Nikulin,

Balrup

et al. 2023

Remote Sensing

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Orphaned oil and gas wells represent an important environmental and economic development concern in areas where historical energy exploration and production activity pre-dated regulations on well abandonment documentation practices. From an economic development perspective, these wells pose a subsurface risk to infrastructure development, while the environmental impact of orphaned wells is largely associated with uncontrolled emissions of both fluids and gasses, most notably atmospheric methane. Often neglected in regulatory oversight, methane emissions from orphaned wells contribute to global greenhouse gas concentrations and without proper mitigation, these emissions contribute to and further exacerbate global climate change processes. An inherent challenge of remediation efforts targeting orphaned wells is the consistent observation that only a fraction of located and identified wells produce the majority of methane emissions, yet no methodology exists to effectively separate out heavy emitters without visiting and assessing each and every well. We demonstrate that emitting wells have certain defined characteristics largely pertaining to the presence and integrity of metal casing to the surface, which can be distinguished as an organized high intensity magnetic anomaly in low-altitude UAV-based aeromagnetic surveys. In this paper, we present a database of identified and ground-truthed wellsites correlated to their magnetic signatures and provide a roadmap to initial prioritization of wellsites for subsequent remediation activities that can be implemented in complex environments where other survey options are not feasible. In a regulatory environment where resources dedicated to wellsite remediation are limited, we propose implementing this methodology as a key element of a targeted approach to wellsite prioritization for subsequent remediation activity.

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