Hands-on Digital Soil Mapping 2022
Five-day course from Monday 16 May to Friday 20 May 2022
The Digital Soil Mapping course is a live on-line course. Therefore it is required to be online at the time indicated in the programme below. All times are Central European Summer Time zone (CEST), that is UTC+2.
The course will be supported by an online teaching environment which will include interactive features to assure that you can keep contact and interact with the other participants and teachers.
Overview | Registration and fees | Who is it for? | Software installation | Programme | Materials
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Overview
This course introduces methods and software for management, analysis and mapping of soil type and soil properties within the R environment for statistical computing. The course alternates between lectures and computer exercises and covers a variety of subjects, such as geostatistics, machine learning for soil mapping, soil functional mapping, proximal soil sensing, quantification of uncertainty, sampling for mapping and statistical 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.
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Gerard Heuvelink, course coordinator (geostatistics, uncertainty quantification)
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Bas Kempen (machine learning)
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Laura Poggio (data preparation, machine learning)
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Giulio Genova (data preparation)
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Fenny van Egmond (remote and proximal soil sensing)
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Johan Leenaars (mapping plant-available soil water and nutrients)
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Maria Ruiperez Gonzalez (mapping plant-available soil water and nutrients)
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Stephan Mantel (virtual visit World Soil Museum)
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David Rossiter (geostatistics, data preparation, sampling for statistical validation, guest lecture)
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Titia Mulder, guest lecturer (remote and proximal soil sensing)
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Dick Brus, guest lecturer (sampling for statistical validation)
Registration and fees
The registration fee covers the costs of all course materials, lectures and teaching resources. This course is organized on a cost-recovery basis, i.e. no profit is made from the course fees. Upon completing the course, participants will receive a certificate and free access to software and datasets used during the course. For information about the fees:
https://www.isric.org/utilise/capacity-building/springschool/costs-and-payment
Registration is now closed. If you want to register in the waiting list please write to springschool@isric.org.
Note that when registering, you will be redirected to a Wageningen University & Research page in a new window to process your registration and payment. Please read our cost and payment section carefully.
Who is it for?
This course is intended for soil and environmental professionals, researchers and PhD-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. Those not familiar with R will be asked to run a self-study tutorial prior to the course. A number of recorded sessions from a previous Spring School can be accessed via the ISRIC YouTube channel at: http://youtube.com/c/ISRICorg.
Software installation
Please note that to participate in the DSM course you need to install R and RStudio software prior to the course. Software installation instructions can be found here, and the associated R code to test your installation here. Please read and follow these carefully to ensure you are fully prepared to the Spring School.
Preliminary programme
All times are Central European Summer Time zone (CEST), that is UTC+2.
DAY 1 (Monday, 16 May 2022)
| Time | Topic | Type | Lecturer |
| 8.30 - 9.00 | Online coffee | ||
| 9.00 – 9.30 |
Opening, welcome by ISRIC director Rik van den Bosch, course introduction and overview |
Lecture | Rik van den Bosch and Gerard Heuvelink |
| 9.30 – 10.30 | Geostatistics for soil mapping | Lecture | Gerard Heuvelink |
| 10.30 – 11.00 | Morning break | ||
| 11.00 – 12.30 | Geostatistics for soil mapping | Lecture | Gerard Heuvelink |
| 12.30 – 14.00 | Lunch | ||
| 14.00 – 15.30 | Geostatistics for soil mapping | Computer practical |
Gerard Heuvelink David Rossiter, Giulio Genova |
| 15.30 – 16.00 | Afternoon break | ||
| 16.00 – 17.00 | Geostatistics for soil mapping |
Computer practical and feedback |
Gerard Heuvelink David Rossiter, Giulio Genova |
DAY 2 (Tuesday, 17 May 2022)
|
Block |
Topic |
Type |
Lecturer |
|
9.00 – 10.30 |
Geostatistics for soil mapping |
Lecture |
Gerard Heuvelink |
| 10.30 – 11.00 | Morning break | ||
| 11.00 – 12.30 | Soil and covariate data preparation | Lecture | Giulio Genova |
| 12.30 – 14.00 | Lunch | ||
|
14.00 – 15.30 |
Soil and covariate data preparation |
Lecture & computer practical |
Giulio Genova Laura Poggio David Rossiter |
|
15.30 – 16.00 |
Afternoon break |
|
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| 16.00 – 17.00 | Soil and covariate data preparation |
Computer practical and feedback |
Giulio Genova Laura Poggio David Rossiter |
DAY 3 (Wednesday, 18 May 2022)
|
Block |
Topic |
Type |
Lecturer |
| 9.00 – 10.30 | Remote and proximal soil sensing | Lecture | Titia Mulder, Fenny van Egmond |
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10.30 – 11.00 |
Morning break |
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11.00 – 12.30 |
Remote and proximal soil sensing |
Computer practical and feedback |
Titia Mulder Fenny van Egmond |
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12.30 – 14.00 |
Lunch |
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14.00 – 15.30 |
Machine learning for soil mapping |
Lecture & computer practical |
Bas Kempen Laura Poggio |
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15:30 – 16.00 |
Afternoon Break |
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|
16.00 – 17.00 |
Machine learning for soil mapping |
Computer practical |
Bas Kempen Laura Poggio |
DAY 4 (Thursday, 19 May 2022)
|
Block |
Topic |
Type |
Lecturer |
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9.00 – 10.30 |
Machine learning for soil mapping |
Computer practical and feedback |
Bas Kempen Laura Poggio |
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10.30 – 11.00 |
Morning break |
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11.00 – 12.30 |
Sampling for statistical validation |
Lecture |
Dick Brus |
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12.30 – 14.00 |
Lunch |
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|
14.00 – 15.30 |
Sampling for statistical validation |
Lecture & computer practical |
Dick Brus David Rossiter |
|
15.30 – 16.00 |
Afternoon break |
||
|
16.00 – 17.00 |
Sampling for statistical validation |
Computer practical and feedback |
Dick Brus David Rossiter |
DAY 5 (Friday, 20 May 2022)
|
Block |
Topic |
Type |
Lecturer |
|
9.00 – 10.30 |
Mapping plant-available soil water and nutrients |
Lecture and computer practical |
Johan Leenaars |
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10.30 – 11.00 |
Morning break |
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|
11.00 – 12.30 |
Mapping plant-available soil water and nutrients |
Computer practical and feedback |
Johan Leenaars Maria Ruiperez-Gonzalez |
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12.30 – 14.00 |
Lunch |
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| 14.00 – 14.45 | Virtual excursion World Soil Museum | Stephan Mantel | |
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14.45 – 15.00 |
Course evaluation and certificates |
|
Gerard Heuvelink |
| 15.00 – 15.15 | Afternoon break | ||
| 15.15 – 16.15 | How useful are DSM products? | Invited lecture | David Rossiter |
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16.15 – 16.30 |
Closing words |
|
Rik van den Bosch |
Materials
You must use your own computer or laptop and have recent releases of R and RStudio installed (see above). Participants receive all workshop materials (test datasets, R scripts, lecture slides, tutorials) during the workshop.