Landscape Inventory and Analysis
LA 361
Paul F. Anderson
Project Links
Read the Des Moines Register editorial
about our Loess Hills national park site selection project.
ArcView
GIS land cover map of the Des Moines
River valley between Fort Dodge and Brushy Creek, Webster
County, Iowa
Project 3 -- Photo interpretation and land cover map
Project 9 -- Data digitizing and debugging
Spring 2001
ArcView
GIS land cover map of the Chariton
River valley area, Lucas
County, Iowa
Project 3 -- Photo interpretation and land cover map
Project 9 -- Data digitizing and debugging
Spring 2000
ArcView
GIS land cover map of the Des Moines
River valley area, Boone
County, Iowa
Project 3 -- Photo interpretation and land cover map
Project 9 -- Data digitizing and debugging
Spring 1999
ArcView
GIS land cover map of the Renton area, Seattle, Washington
Project 3 -- Photo interpretation and land cover map
Project 9 -- Data digitizing and debugging
Spring 1999
Recreation
Trail Study, City of Fort Dodge, Webster County, Iowa
Project 2 -- Landscape inventory and interpretation
Spring 2001
Riparian
Buffers Study, Trees Forever, Southern Iowa
Project 2 -- Landscape inventory and interpretation
Spring 2000
Critical
Areas Study, Prairie Rivers RC&D, Central Iowa
Project 2 -- Landscape inventory and interpretation
Spring 1999
Final projects: environmental impact assessment
Project 12 -- Landscape impacts
Spring 2001
  
  
Final projects: environmental impact assessment
Project 11 -- Landscape impacts
Spring 2000
  
 
Final projects: environmental impact assessment
Project 11 -- Landscape impacts
Spring 1999    
  
COURSE DESCRIPTION AND OBJECTIVES
Landscape Inventory and Analysis is an intermediate level course in landscape
planning emphasizing landscape patterns, landscape data sources, landscape
analysis techniques, and geographic information systems (GIS). Landscape planning
involves landscape architects and other professionals concerned about the
location, kind, and quality of land use. Landscape planning emphasizes
the following:
- Biological, physical, and social considerations (especially natural and cultural
resources)
- Principles of landscape ecology (such as biodiversity, ecological
integrity,
and sustainability)
- Predominantly rural study areas (such as watersheds, state forests, and
countryside)
- Regional-level studies (relatively large study areas)
- Two-dimensional planning (rather than three-dimensional design)
Part of the landscape planning process involves landscape analysis. Landscape
analysis provides a systematic approach to developing comprehensive, accurate,
and efficient information about land and its resources. The purpose of landscape
analysis is to develop useful information prior to land use decision-making
and site development planning. This is accomplished primarily by identifying
opportunities and limitations for landscape development, restoration,
conservation, or preservation. Applications of landscape analysis include
the following:
- Landscape description (inventory, regional delineation)
- Location analysis (site selection, route selection)
- Use analysis (suitability, capability, feasibility studies)
- Impact analysis (urban development, resource use)
In preparing you to work on landscape planning projects, we will answer
the following questions:
- What information do I need?
- What data sources are available?
- Where do I get the pertinent data?
- How do I analyze the data to create useful information?
During the course you will work on developing the following skills:
- Analysis (problem identification, key factors, inventory, synthesis)
- Evaluation (selection of criteria, impact assessment, precognition)
- Communication (oral, written, graphic)
- Technical (cartography, data interpretation, computer applications,
GIS)
At the conclusion of the course you should have the ability to apply
the following landscape analysis process:
- Define and organize a landscape planning project
- Identify key factors or issues in the project
- Inventory relevant landscape data sources
- Define appropriate project goals and objectives
- Develop alternate sets of analysis criteria
- Select appropriate spatial analysis techniques
- Apply criteria to data using a geographic information system (GIS)
- Evaluate analysis results in terms of your stated goals/objectives
- Communicate your analysis results in graphic, written, and oral forms
COURSE POLICIES
Attendance
All scheduled class periods will be used. Lectures will be used to present
case studies, discuss data sources and methods, and introduce projects.
Studios will be used to practice methods, data interpretations, and applications.
Many studio projects must be completed in class because of special methods,
equipment, or group projects. Be there. No one who misses class regularly
should expect to receive a passing grade.
Students on the class list who do not attend one of the first two class
sessions will be dropped from the course. Students not on the class list
who want to add the course should talk to us. Admission will be based on
(1) prerequisites, (2) space available, and (3) first come--first served.
Grading
We use a plus-minus grading system. Your graded work includes in-studio
exercises, projects outside of class, presentations, and exams. In addition
to this graded work, your final grade will include your attitude, attendance,
and improvement. Each assignment will have an established due date. Late
work involving presentations will not be accepted. Late work involving
writing will be accepted; however, the maximum possible points
will be lowered according to the following schedule:
same day -10% (of maximum possible points)
1 day -20%
2-3 days -30%
4-7 days -40%
8-14 days -50%
15-45 days -60%
46-70 days -70%
71-120 days -80%
Late work that involves presentations will not be accepted. Makeup exams
will be available only to those who make arrangements before the
scheduled exam. We also use a point system for graded work. During the semester
there will be a total of approximately 500 maximum possible points. The
number of points assigned to each problem indicates its relative importance
in determining your final grade. See the course outline for the relative
importance of each project.
Course Text
You are required to purchase a course packet. The course packet contains
course information, lecture outlines, project statements, project worksheets,
and handouts.
Course Fee
The course fee includes $15.00 for the computer handouts, diskette, field
trip, base sheets, aerial photographs, coding materials that you use and
keep. You will be billed for the course fee by the University Business Office.
Fees must be paid to receive a grade for the course.
Course Materials
Materials and equipment which you will need early in the semester include
the following:
Engineer's scale Drafting tape
T-square, triangles Prismacolor pencils or studio markers
Lettering guide Matte knife
White tracing paper Illustration board
Later in the semester you will need the following materials/equipment:
Illustration board
Transparency material (flimsy, acetate, mylar, or vellum)
Transparency drawing media (markers, pencils, or ink)
We will supply some materials and equipment. Other materials or drawing
equipment not listed above may be needed. We will inform you of these in
advance.
SCHEDULE
Landscape description
Jan 9 Applications and issues
Jan 11 Landscape planning
Project 1. Landscape patterns (10%)
Jan 16 Landscape data
Jan 18 Landscape data
Site selection
Jan 23 Landscape data
Jan 25 Landscape data
Project 2. Inventory and interpretation (20%)
Jan 30 Landscape data
Feb 1 Landscape data
Feb 6 Landscape data
Feb 8 Presentation
Site suitability
Feb 13 Remote sensing
Feb 15 Synthesis
Project 3. Photo interpretation and land cover map (4%)
Feb 20 Geographic information systems
Feb 22 Hand-drawn datafiles
Project 4. GIS overlay suitability map (4%)
Feb 27 Transparent overlays
Mar 1 Hand-drawn datafiles
Project 5. GIS advanced suitability maps (4%)
Mar 6 Analysis principles
Project 6. GIS urban park suitability (4%)
Mar 8 Exam
Project 7. Exam (10%)
Mar 13 Spring break
Mar 15 Spring break
Mar 20 Geographic information systems
Project 8. GIS topographic modeling (5%)
Mar 22 Geographic information systems
Mar 27 Computer techniques
Project 9. GIS land cover digitizing (3%)
Mar 29 Computer techniques
Project 10. GIS land cover inventory (2%)
Impact assessment
Apr 3 Impact assessment
Project 11. EIS evaluation (5%)
Apr 5 Impact statements
Project 12. Impact assessment (20%)
Apr 10 Assessment techniques
Apr 12 Impact mitigation
Apr 17 Selecting analysis techniques
Apr 19 Exam
Project 13. Exam (10%)
Apr 24 Jury week
Apr 26 Final presentation
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Paul
Anderson's home page
Last revision: 11 May 2001 |