Hands on Digital Soil Mapping: Programme and Registration

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Overview  

This course introduces methods and software for management, analysis and mapping of soil variables within the R environment for statistical computing. The course alternates between lectures and computer practicals and covers a variety of subjects, such as geostatistics, linear regression and machine learning for soil mapping, quantification of uncertainty and soil map validation. The course aims at soil geographers and environmental scientists who want to learn more about the theory and practice of digital soil mapping. After this course participants will be able to apply the methods learnt to their own datasets. Lecturers are experienced pedometricians and soil data analysis specialists.  

  • Gerard Heuvelink, course coordinator (geostatistics for soil mapping, uncertainty assessment)

  • Bas Kempen (introduction to R, preparation of covariates, regression modelling and machine learning for soil mapping, validation of soil maps)

  • Eloi Ribeiro (soil databases)

  • Madlene Nussbaum, guest lecturer (machine learning and data mining)

  • Titia Mulder, guest lecturer (soil spectroscopy)

 

Who is it for? 

This course is intended for soil and environmental professionals, researchers and students interested in producing soil maps and/or using local, regional and global soil datasets for digital soil mapping. Participants must have a basic level of statistics, geo-information science and soil/environmental science. Experience with computer programming in R is advantageous but not required. A number of recorded sessions from a previous Spring School can be accessed via the ISRIC YouTube channel at: http://youtube.com/c/ISRICorg.

 

Course programme 

Programme, subject to changes.

DAY 0 (OPTIONAL, Friday, 25 May 2018)*:

Block Topic Room/ type Lecturer
9.00 – 17.30 Introduction to the statistical software R* Lumen 1&2 Guided self-study Bas Kempen

(* A minimum number of participants is required for the optional day)

 

DAY 1 (Monday, 28 May 2018):

Time Topic Room/ type Lecturer
8.30 – 9.00 Registration and Coffee Hall Gaia building  
9.00 – 9.45

Official opening of the ISRIC Spring School

Group photo

Gaia 1 Rik van den Bosch (ISRIC director), Bas Kempen
9.45 – 10.15

Course introduction and overview

Lumen 1&2 Gerard Heuvelink
10.15 – 10.45 Geostatistics for soil mapping

Lumen 1&2

lecture

Gerard Heuvelink
10.45 – 11.15 Coffee break    
11.15 – 12.30 Geostatistics for soil mapping

Lumen 1&2

lecture

Gerard Heuvelink
12.30 – 13.30 Lunch GAIA first floor  
13.30 – 15.00 Geostatistics for soil mapping

Lumen 1&2

computer practical

Gerard Heuvelink, Titia Mulder
15.00 – 15.30 Coffee break    
15.30 – 17.30 Geostatistics for soil mapping

Lumen 1&2

computer practical

Gerard Heuvelink, Titia Mulder

 

DAY 2 (Tuesday, 29 May 2018):

Block

Topic

Room/ type

Lecturer

9.00 – 10.00

Preparing covariate layers for soil mapping

Lumen 1&2

lecture

Bas Kempen

10.00 – 10.30 Preparing covariate layers for soil mapping

Lumen 1&2

computer practical

Bas Kempen,

Titia Mulder

10.30 – 11.00

Coffee break

   

11.00 – 12.30

Preparing covariate layers for soil mapping

Lumen 1&2

computer practical

Bas Kempen,

Titia Mulder

12.30 – 13.30

Lunch

   

13.30 – 14.15

WOSIS soil database and preparation of soil point data for DSM

Lumen 1&2

lecture

Eloi Ribeiro

14.15 – 15.00

WOSIS soil database and preparation of soil point data for DSM

Lumen 1&2

computer practical

Eloi Ribeiro, Bas Kempen

15.00 – 15.30

Coffee break

   

15.30 – 17.30

Remote and proximal sensing for natural resource inventories

Lumen 1&2

lecture and exercise

Titia Mulder

19.00 – 22.00

Dinner in town (Colours World Food restaurant)

 

 

DAY 3 (Wednesday, 30 May 2018):

Block

Topic

Room/ type

Lecturer

9.00 – 10.30

Machine learning 1: Introduction to Random Forest Modelling

Lumen 1&2

lecture

Bas Kempen

10.30 – 11.00

Coffee break

   

11.00 – 12.30

Machine learning 1: Introduction to Random Forest Modelling

Lumen 1&2

computer practical

Bas Kempen

Madlene Nussbaum

12.30 – 13.30

Lunch

   

13.30 – 15.00

Machine learning 2: Understanding methods, model selection and interpretation

Lumen 1&2

lecture

Madlene Nussbaum

15:00 – 15:30

Coffee Break

   

15.30 – 17:30

Machine learning 2: Understanding methods, model selection and interpretation

Lumen 1&2

computer practical

Madlene Nussbaum

Bas Kempen

 

DAY 4 (Thursday, 31 May 2018):

Block

Topic

Room/ type

Lecturer

9.00 – 10.30

Uncertainty quantification and propagation

Lumen 1&2

lecture

Gerard Heuvelink

10.30 – 11.00

Coffee break

   

11.00 – 12.30

Uncertainty quantification and propagation

Lumen 1&2

computer practical

Gerard Heuvelink,

Bas Kempen

12.30 – 13.30

Lunch

   

13.30 – 15.00

Validation of digital soil maps

Lumen 1&2

lecture

Bas Kempen

15.00 – 15.30

Coffee break

   

15.30 – 17.30

Validation of digital soil maps

Lumen 1&2

computer practical

Bas Kempen, Gerard Heuvelink

 

DAY 5 (Friday, 1 June 2018):

Block

Topic

Room/ type

Lecturer

9.00 – 10.30

Visit to World Soil Museum and assignment

WSM

Stephan Mantel

10.30 – 11.00

Coffee break

   

11.00 – 12.30

Opportunity for course participants to present their work and receive feedback

Lumen 1+2

All

12.30 – 13.30

Lunch

   

13.30 – 14.30

Course evaluation, certificates

Lumen 1+2

Gerard Heuvelink

14.30 – 15.30

Digital soil resource inventories
Status and prospects (guest lecture)

Lumen 1+2

David Rossiter

15.30 – 17.00

Closing words and ISRIC borrel (drinks and snacks)

Lumen 1+2

Rik van den Bosch

Please note that to participate in the DSM course you have to bring your own laptop computer, with R software installed. Please contact us beforehand if you are not able to bring your own laptop or want to run a virtual machine on your own laptop.

Dates and Venue

Venue

The 2018 Spring School will be held at the Wageningen Campus, the Netherlands, from 28 May - 1 June 2018. We offer participants the optional  “Introduction to the statistical software R"  guided self-study practical on Friday 25 May 2018, if sufficient requests have been received.

 

Important  dates

  • Deadline for Early-Bird registration: 19 February 2018
  • Registration deadline for those who need an invitation letter for visa application: 12 March 2018
  • Confirmation of participation: 15 March 2018
  • Letter of invitation (for visa application): 19 March 2018
  • Final programme of the Spring School: 14 May 2018
  • Spring School:  28 May - 1 June 2018

 

Registration

Registration and payment is done through Wageningen University, that means that you will be taken to the WUR University portal outside the ISRIC website. To register please follow this link:

Register in the DSM Course.

 

Good to know

The course may be cancelled if the minimum number of 15 participants is not reached. If the course is cancelled we will inform you latest 15 March 2018 and refund the amount paid. Please note that the refund will be done to the same bank account number used to pay the course fee.

The full participation fee must be paid at the time of registration.

Please read carefully the Costs and Payment section.