Short course/CPD
Geographical Resource Survey
Course date: Please enquire
Course overview
Design of the geographical surveys of natural resources is fundamental to acquisition and quality control of spatial data for measuring and monitoring land resources.
Location
Course fee:
- £1400 - Standard. 20% discount for Cranfield alumni, 10% discount for colleagues of alumni
- £1340 - Professional/trade association discount
- £1280 - Multiple bookings*
*Minimum of five delegates.
Accommodation fee:
Accommodation is not included in the price.
Speakers
How to register
To request a place on this course, please complete the online Registration Form.
If you have any queries please contact:
Academic Operations Unit.
T: +44 (0) 1234 754176
E: shortcourse@cranfield.ac.uk
F: +44 (0) 1234 751206
Cranfield University
Cranfield
Bedfordshire
MK43 0AL, UK
T: +44 (0) 1234 754176
E: shortcourse@cranfield.ac.uk
F: +44 (0) 1234 751206
Please be aware that short courses/CPD are subject to:
Booking ConditionsCourse description
- Introduction to geographical resource survey. Why, when, where and how? Understanding constraints
- Survey strategies for geographical resources: census with thematic mapping, ground sampling, sampling with property mapping, integrated ground sampling and property mapping
- Development of classification schemes – user requirements, data availability, class definitions
- Sampling and rapid estimates for vegetation and soils – biomass, cover and species assessment, count plot methods, plotless sample technique, soil survey techniques
- Assessment of existing data quality and use in survey design
- Statistical design and analysis for geographical resource surveys: list frames, area frames, point samples, area samples, sampling at global scales, multi-frame sampling, direct expansion and regression estimates
- Quality assessment of geographical data – confusion matrices and accuracy measures, effect of bias, kappa and tau statistics, error and uncertainty sources and measures
- Introduction to interpolation methods, generating maps from point survey data. Application to Precision Farming
- Integration data sources and types (data fusion) and statistical models with survey data (model data fusion) to increase survey cost effectiveness
- Review of example surveys.
Intended learning outcomes
On successful completion of this course the delegate will be able to:
- To identify the objective of a survey.
- To determine the appropriate survey method to undertake an assessment of land resources.
- To evaluate existing information and models which complement the survey method.
- To design and conduct field surveys for data collection and verification.
- To select and carry out appropriate modelling and statistical analyses.
- To assess the accuracy of results.
- To summarise and present results of a survey for users effectively.
