Learn about remote sensing and how to use ArcGIS Spatial Analyst to visualise and manipulate image data.
This course provides you with a general awareness of remote sensing and teaches you how to access and apply image and terrain data to oil and gas applications using Esri’s ArcGIS for Desktop (ArcView) software. When you complete this course you will have the knowledge and confidence to use remotely sensed data in your workflows and be able to more effectively liaise with remote sensing specialists.
Data collected through the use of remote sensing techniques has many applications within the E&P sector. This course provides you with an awareness of:
Data availability, sensor capability and remote sensing processes
Targeted training taught by instructors experienced in your industry.
Instructor-led classroom courses delivered in person, or online in real-time.
Live presentations and demonstrations.
Uses industry standard ArcGIS Desktop software (ArcGIS Pro or ArcMap).
Hands-on exercises to learn by doing, with step-by-step instructions for using ArcGIS in common Energy workflows.
Learning pathways to effectively manage geospatial data and use ArcGIS within geoscience workflows.
In-house and public courses available.
Participants attending this course should have completed an introductory ArcGIS for Desktop course or already be familiar with ArcGIS for Desktop or equivalent mapping software. Although petroleum exploration and production sector knowledge is not required, this course is geared towards helping participants use remotely sensed data in E&P workflows.
Geoscience, engineering and HSE professionals and support staff who are going to be using remotely sensed data within GIS projects and need to be able to acquire the relevant ArcGIS for Desktop skills and knowledge.
Focuses on the application of remote sensing techniques to analyse imagery used in the E&P industry
Uses industry standard ArcGIS for Desktop tools from Esri (ArcMap, ArcCatalog and ArcToolbox) and ArcGIS Spatial Analyst
One-day intensive course
Instructor-led hands-on learning by ‘doing’
Trainer demonstrations and course validation questions
Describe the key aspects of remote sensing and digital imagery and give examples of how the technology is used in the petroleum industry
Outline four techniques used for pre-processing imagery
Prepare imagery for analysis and interpretation using image enhancement histograms
Identify and display surface/land cover types based on their spectral reflectance
Discuss the use of microwave remote sensing and compare various optical image data and their applications
Contrast supervised and unsupervised classification methods
Implement the Principle Components Analysis tool to better discriminate between land cover types
Apply spatial filters to the digital imagery to enhance specific features or patterns in the imagery that may be useful for exploration
Operate the data merging tools to generate pan-sharpened imagery which combines colour and black and white imagery at different spatial resolutions
Describe how remote sensing and image analysis could be used in a desktop reconnaissance study and combined with other data sources to help target potential exploration areas
What our clients say
GIS Manager, large independent Energy Company
It was just what I needed and should make a very direct impact on the work that my team are doing every day.
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