SAF Geographic Information Systems 2 — Questions and Answers
Question 1: Which map projection is most commonly used for large-scale forestry operations in the contiguous United States?
- Mercator
- Albers Equal-Area Conic (Correct answer)
- Stereographic
- Robinson
Correct answer: Albers Equal-Area Conic
Albers Equal-Area Conic preserves area relationships, making it ideal for measuring forest extent across the contiguous US.
Question 2: In a GIS forest inventory, what does a 'topology rule' primarily enforce?
- Color coding of species layers
- Spatial relationships between features such as no gaps or overlaps (Correct answer)
- Attribute table column naming conventions
- Raster resolution standards
Correct answer: Spatial relationships between features such as no gaps or overlaps
Topology rules enforce spatial integrity by ensuring features relate correctly, such as stand polygons having no gaps or overlaps.
Question 3: A forester needs to identify all stands within 300 meters of a perennial stream. Which GIS operation is most appropriate?
- Clip
- Dissolve
- Buffer (Correct answer)
- Union
Correct answer: Buffer
A buffer operation creates a zone of specified distance around a feature, in this case 300 m around stream lines.
Question 4: What is the primary advantage of using a geodatabase over a shapefile for managing a large forest inventory?
- Smaller file size per layer
- Support for topological rules, domains, and relationship classes (Correct answer)
- Faster rendering in web browsers
- Compatibility with more GPS devices
Correct answer: Support for topological rules, domains, and relationship classes
Geodatabases support topological rules, attribute domains, subtypes, and relationship classes that shapefiles cannot enforce.
Question 5: When performing a spatial join in a forestry GIS, what is the key distinction between 'one-to-one' and 'one-to-many' join types?
- One-to-one joins work only with raster data
- One-to-many retains all matching records while one-to-one keeps only the first match (Correct answer)
- One-to-one joins require identical projections
- One-to-many joins only work with point features
Correct answer: One-to-many retains all matching records while one-to-one keeps only the first match
A one-to-many join retains all matching records from the join layer, while a one-to-one join keeps only the first (or summarized) match per target feature.
Question 6: Which remote sensing index is most commonly used to detect forest stress and declining canopy health?
- NDWI (Normalized Difference Water Index)
- NDVI (Normalized Difference Vegetation Index) (Correct answer)
- SAVI (Soil-Adjusted Vegetation Index)
- EVI (Enhanced Vegetation Index)
Correct answer: NDVI (Normalized Difference Vegetation Index)
NDVI uses near-infrared and red bands to quantify vegetation greenness, making it the standard index for monitoring canopy health.
Question 7: In LiDAR-derived data used for forestry, what does 'point cloud density' (points per square meter) primarily affect?
- The geographic extent of coverage
- The accuracy of canopy height models and tree detection (Correct answer)
- The color accuracy of RGB imagery
- The datum used for vertical measurements
Correct answer: The accuracy of canopy height models and tree detection
Higher point cloud density allows finer resolution canopy height models and improves individual tree detection accuracy.
Which map projection is most commonly used for large-scale forestry operations in the contiguous United States?