3 EC
Semester 1, period 3
51321DIE3Y
Digital Earth Surface Analyses using Geographical Information Systems. Lectures will emphasize on general principles and theory in geospatial analysis techniques, map production, programming and project design using ArcGIS10. The first lecture will be an introduction to GIS. Labs include self-tuition modules oriented subsequently at:
1) Natural hazard - Introduction to ArcGIS10: overview of basic software tools.
2) Spatial data preparation: data formats, datums and coordinate systems.
3) Building a geodatabase, editing and topology - Hawaii 1. Case study: handling several datasets and create a geodatabase.
4) Spatial Analyst - Modelbuilder in ArcGIS - Hawaii 2. An introduction, a tutorial and a case study.
5) Surface creation and surface analysis in ArcMap - Two surface-creation techniques: interpolation and density.
6) Wildlife corridor mapping on the Utrechtse Heuvelrug using Path Costway Analysis.
7) Assignment on using maps on the internet: Web Mapping Services and Web Feature Services.
8) Python - Python concepts and the Python scripting environment in ArcGIS. Python syntax, script flow, and error handling.
9) LiDAR - an optical remote-sensing technique that measures distances with a pulsed laser light to sample the surface of the earth.
10) Google Earth Engine - GEE combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities to detect changes and map trends and quantify differences on the Earth's surface.
will be put on Canvas-website
will be put on Canvas-website
ArcGIS Desktop 10.6 for use on laptop
see http://www.gis-studio.nl/index.php?page=software
After attending this course the student:
● is able to collect, prepare, manage, analyse, visualize and exchange topological correct data in a file geodatabase;
● can prepare a workflow (at least in 1 assignment within the tool 'Model Builder' in the software 'ArcGIS') for analysing and solving practical geospatial problems related to food production, land use planning, distribution mapping and vegetation change;
● can interpolate earthquake shaking intensity and use Digital Elevation Models (DEMs) and Land Surface Parameters (LSPs);
● can use GIS tools that can be used to calculate optimal wildlife corridor locations;
● can actively find webservices (WMS and WFS) on internet and use them in a GIS to produce and use maps;
● can use the programming language Python in a GIS;
● can implement height data from airborn laser scans (LiDAR) in a GIS;
● can correctly use a web based programming environment (in this case Google Earth Engine) to work with satellite images.
There will be 12 practical sessions (half days); 10 regular hands-on workshops and 2 extra opportunities to finish all the modules that students need to work through. Participation is mandatory.
|
Activity |
Hours |
|
|
Laptopcollege |
48 |
(12 x 4) |
|
Self study |
36 |
|
|
Total |
84 |
(3 EC x 28 uur) |
Programme's requirements concerning attendance (OER-B):
Additional requirements for this course:
Considering the practical sessions (laptopcolleges), the student is obliged to attend at least of 90% of the sessions (that means 11 out of the 12 laptopcolleges) and to prepare himself adequately, unless indicated otherwise in the course manual.
| Item and weight | Details |
|
Final grade | |
|
8% Mod. 1 Natural hazard - Earthquakes | Must be ≥ 5.5, Allows retake |
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12% Mod. 2 Spatial data preparation | Must be ≥ 5.5, Allows retake |
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12% Mod. 3 Building a geodatabase Hawaii 1 | Must be ≥ 5.5, Allows retake |
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12% Mod. 4 Spat. Anal. Modelbuilder Hawaii 2 | Must be ≥ 5.5, Allows retake |
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8% Mod. 5 Surface creation and analysis | Must be ≥ 5.5, Allows retake |
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10% Mod. 6 Wildlife corridor mapping | Must be ≥ 5.5, Allows retake |
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8% Mod. 7 Web Mapping Services | Must be ≥ 5.5, Allows retake |
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10% Mod. 8 Python in ArcGIS | Must be ≥ 5.5, Allows retake |
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10% Mod. 9 LiDAR in ArcGIS | Must be ≥ 5.5, Allows retake |
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10% Mod. 10 Google Earth Engine | Must be ≥ 5.5, Allows retake |
| Leerdoel: | Toetsonderdeel: |
|---|---|
| #1. the student is able to collect, prepare, manage, analyse, visualize and exchange topological correct data in a file geodatabase | Online Canvas Tests of Modules 1, 2 and 3 |
| #2. can prepare a workflow (at least in 1 assignment within the tool 'Model Builder' in the software 'ArcGIS') for analysing and solving practical geospatial problems related to food production, land use planning, distribution mapping and vegetation change | Online Canvas Tests of Modules 3 and 4 |
| #3. can interpolate earthquake shaking intensity and use Digital Elevation Models (DEMs) and Land Surface Parameters (LSPs) | Online Canvas Test of Module 5 |
| #4. can use GIS tools that can be used to calculate optimal wildlife corridor locations | Online Canvas Test of Module 6 |
| #5. can actively find webservices (WMS and WFS) on internet and use them in a GIS to produce and use maps | Online Canvas Test of Module 7 |
| #6. can use the programming language Python in a GIS | Online Canvas Test of Module 8 |
| #7. can implement height data from airborn laser scans (LiDAR) in a GIS | Online Canvas Test of Module 9 |
| #8. can correctly use a web based programming environment (in this case Google Earth Engine) to work with satellite images | Online Canvas Test of Module 10 |
Students that were enrolled in the course in previous years and did not finish with sufficients grades, can redo the modules with insufficient grades (that are grades lower than 5.5). These students must also do the Modules 4, 8, 9 and 10 in case the poster assignment was insufficient (that are grades lower than 5.5). Course components (Modules) that were passed with a sufficient grade ánd meeting the attendance requirements ánd practical exams, can be used for one year. In case students want to finish the course after two years, they need to meet the same requirements as the first year.
Contact the course coordinator to make an appointment for inspection.
Up to 20 days after the announcement of the result students have the right of inspection of their individual work (all forms of assessment) on Canvas. Feedback is given by means of Canvas (automated tests and standard grading of the these tests). Feedback for each module is placed on Canvas as soon as all students of all groups have done and saved their tests for that module. In the week after the last Module is due, feedback to all of the modules will be disclosed on Canvas so the students can inspect their whole work. During an individual appointment you can ask the examiner face-to-face questions about the assessment. For this course we will NOT schedule a Collective Assessment Evaluation. Please note: you lose the right of feedback from the examiner when you don’t make an appointment within 20 days after the announcement of the results without good reasons.
Overview of basic software tools (ArcMap, ArcCatalog and ArcToolbox) and techniques. Earthquake Hazard mapping and 3D visualization.
Data formats, datums and coordinate systems. Use of images made by André Kuipers from the International Space Station in 2012.
Case study: handling several datasets (on e.g. climate, soils, transportation, etc.) concerning the location of coffee plantations on Hawaii.
This assignment is a follow-up of the previous module and consists of three chapters:
- An introduction: a text about the theory on Spatial Analyst, an extension to ArcGIS, based on the Help of ArcGIS.
- A tutorial, based on the ESRI module ‘The ArcGIS Building a Geodatabase Tutorial’. This tutorial supports a practical introduction to geodatabases.
- A case study, written by the staff of the GIS-studio. You will try to find the most ideal areas for growing coffee beans on the ‘Big Island’ of Hawaii with the help of Model Builder in ArcGIS.
A variety of methods can be used to model the surface of a feature or a phenomenon. Surfaces are for example Digital Terrain Models or a rainfall map. This module introduces you to two surface-creation techniques: interpolation and density.
GIS tools can be used to calculate optimal wildlife corridor locations to connect the isolated wildlife areas in ‘Het Gooi’.
Assignment on using maps on the internet: Web Mapping Services and Web Feature Services.
Learn fundamental Python concepts and be introduced to the Python scripting environment in ArcGIS. Tips and techniques to help you master proper Python syntax, script flow, and error handling are presented.
LIDAR stands for Light Detection and Ranging of Laser Imaging Detection and Ranging and is an optical remote-sensing technique that measures distances with a pulsed laser light to sample the surface of the earth.
GEE combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers and developers to detect changes and map trends, and quantify differences on the Earth's surface.
The assignments have to be made individually. Additional training may follow in a group. Feedback is given via Canvas and\or in a personal meeting. All of the 10 Assignments (Modules) are graded. Some modules count for 8% or 10%, others for 12% in the final grade. See the paragraph Assessment.
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl
| Weeknummer | Onderwerpen | Studiestof |
| 1 |
Module 2: Spatial Data Preparation with images of André Kuipers. |
for Module 2: study Literature(1).zip file and document True direction and constant direction.pdf on Canvas. |
| 2 |
Module 3: Building a Geodatabase in ArcGIS 10 - Case Coffee Plantation on Hawaii 1. Module 4: Spatial Analyst - Modelbuilder in ArcGIS - Hawaii 2. |
for Module 3: read files in Literature_and_Metadata.zip file on Canvas. for Module 4: Carefully watch the Videos on Module 4 on Canvas. |
| 3 |
Module 5: Surface creation and surface analysis in ArcMap. Module 6: Wildlife corridor mapping on the Utrechtse Heuvelrug using Path Costway Analysis. Module 7: Using maps on the internet: Web Mapping Services and Web Feature Services. |
for Module 5: study the document: Surface creation and surface analysis.pdf for Module 6: study the Powerpoint module6_presentation.pptx. for Module 7: study the document: UvA Geoportal Instructions 16-01-15.pdf |
| 4 |
Module 8: Using Python in ArcGIS: web course 'Python for Everyone'. Module 9: Using LiDAR in ArcGIS. Module 10: Using Google Earth Engine. |
for Module 8: study the video (to be announced on Canvas) for Module 9: study the video (to be announced on Canvas) for Module 10: study the video (to be announced on Canvas) |
The schedule for this course is published on DataNose.
Students are working on laptops during the practicals. For Future Planet Studies there are several courses, amongst which Digital Earth 1, where working on an Apple laptop results in many software difficulties. Therefor IIS recommends Future Planet Studies students to not purchase an Apple laptop, iBook, MacBook or iPad to work on.
Students of Digital Earth 1 and Digital Earth 2 need to have a well working Windows laptop, to install ArcGIS 10.6 on and work with it. Apple computers, iBooks, MacBooks and iPads are not well equiped to run ArcGIS on.
Specifications for hardware needed: the laptop must have a LAN-adaptor supporting Dual-band (2.4GHz/5GHz) and it must have a minimum of 4GB of primary storage (i.e. RAM) for proper handling of the used software.
Furthermore, you will require a Microsoft Office packet (can be ordered with a student-discount through http://www.surfspot.nl using your UvA account). More information regarding software can be found at https://datanose.nl/#byod.
If you do not yet own a suitable laptop, we can recommend the Campus Shop where you can order well-priced laptops that meet all requirements. Further info at http://www.campusshop.nl
Students must install the software program ‘ArcGIS 10.6’ or ‘ArcGIS 10.6.1’ (NOT other versions) on their laptop before the practicals start. An installation guide (for Windows and for Mac) is to be found on http://www.gis-studio.nl/index.php?page=software
License numbers (EVA-numbers) that you need for a 1-year ArcGIS license on your laptop, are to be found in an Excel-spreadsheet that will be placed on Canvas.
In order to provide students some insight how we use the feedback of student evaluations to enhance the quality of education, we decided to include the table below in all course guides.
| Digital Earth 1 (#3 EC) | N37 | Grade | 7.4 | |
Strengths
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Notes for improvement
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Most important notes from the education committee:
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Response lecturer:
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