B.S.F. or B.Sc.F. Bachelor of Science in Forestry Bachelor of Science in Forestry: Remote Sensing and GIS in Forestry 3

Question 1

Synthetic Aperture Radar (SAR) remote sensing is particularly valuable in forestry because it can do which of the following that optical sensors cannot?

Accepted Answer

Penetrate cloud cover and forest canopy to detect structure

Answer

SAR uses microwave energy that penetrates clouds and, at lower frequencies, partially penetrates the canopy to sense trunk and branch structure, making it effective even in persistently cloudy tropical forests.

Question 2

Change detection analysis in forest remote sensing compares images from two or more dates to identify which of the following?

Accepted Answer

Areas where land cover or forest condition has changed over time

Answer

Change detection identifies actual land cover or condition changes between time periods, such as deforestation, regeneration, or disturbance events, by analyzing spectral differences between multi-date images.

Question 3

The approximate spatial resolution of standard Landsat 8 and Landsat 9 multispectral bands used for forest mapping is:

Accepted Answer

30 meters

Answer

Landsat 8 and 9 multispectral bands have a 30-meter spatial resolution, meaning each pixel represents a 30 × 30 m area on the ground, which is suitable for regional and national forest monitoring.

Question 4

An accuracy assessment of a forest cover map derived from satellite imagery typically reports an 'overall accuracy' and a 'Kappa coefficient.' What does the Kappa coefficient measure?

Accepted Answer

Agreement between the classification and reference data beyond what is expected by chance

Answer

The Kappa coefficient measures agreement between classified and reference data while accounting for chance agreement, providing a more robust measure of classification accuracy than overall accuracy alone.

Question 5

Hyperspectral remote sensing differs from multispectral remote sensing primarily because hyperspectral sensors:

Accepted Answer

Collect data in hundreds of narrow, contiguous spectral bands

Answer

Hyperspectral sensors capture data in hundreds of narrow contiguous bands across the electromagnetic spectrum, enabling detailed discrimination of tree species, stress conditions, and biochemical properties that multispectral sensors cannot resolve.

B.S.F. or B.Sc.F. Bachelor of Science in Forestry Practice Test

B.S.F. or B.Sc.F. Bachelor of Science in Forestry Practice Test

B.S.F. or B.Sc.F. Bachelor of Science in Forestry Bachelor of Science in Forestry: Remote Sensing and GIS in Forestry 3