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ICAR AIEEA-PG Remote Sensing & Photogrammetry for Forestry: practice questions

ICAR AIEEA-PG — Forestry/Agroforestry & Silviculture (Major Subject Group 09) · India · National Testing Agency for ICAR

Original practice questions written to the published syllabus · not past papers
8worked here, free
31written to this exam in this subject
11syllabus units

What this subject covers

Reading the forest from above: aerial photographs and satellite images, spectral behaviour of vegetation, image classification, change detection and forest-cover monitoring.

In the exams: IFoS Forestry Paper II Section A (forest mensuration and remote sensing); ICAR AIEEA-PG Group 09 (aerial photo interpretation and remote sensing); ICAR AICE-JRF 59 Unit 4

Where the 31 questions fall

How our questions for ICAR AIEEA-PG spread across the units of Remote Sensing & Photogrammetry for Forestry. Difficulty: 11 easy, 19 medium, 1 hard.

Aerial photographs: scale, stereoscopy, parallax and tree height5
Satellite sensors and resolutions: spatial, spectral, temporal, radiometric4
Image classification: supervised and unsupervised; accuracy assessment4
Electromagnetic spectrum and spectral signatures of vegetation3
Forest cover and change detection3
Drones (UAVs) for forest survey3
Photo-interpretation keys for forest types2
Vegetation indices (NDVI and others)2
Radar (SAR) in forestry2
Fire detection and burned-area mapping2
National forest-cover monitoring systems1

8 practice questions, worked

Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.

1 · Aerial photographs: scale, stereoscopy, parallax and tree height · easy

A camera with a 152 mm focal length is flown 3,040 m above flat ground. What is the photo scale?

  1. 1:2,000
  2. 1:200,000
  3. 1:4,600
  4. 1:20,000
Answer and working

D. 1:20,000

Scale = f ÷ (H − h) = 0.152 m ÷ 3,040 m = 1 ÷ 20,000, so 1:20,000. Forgetting to convert 152 mm to metres gives the wrong 1:20 or 1:200,000-type slips; 1:2,000 drops a zero.

2 · Aerial photographs: scale, stereoscopy, parallax and tree height · easy

Forward overlap (endlap) between successive vertical photos for stereo viewing is usually about:

  1. 10%
  2. 30%
  3. 90%
  4. 60%
Answer and working

D. 60%

About 60% forward overlap puts every point on at least two photos; side overlap is about 20–30%.

3 · Aerial photographs: scale, stereoscopy, parallax and tree height · hard

On a vertical photo flown 1,200 m above the base of a tree, the top lies 80 mm from the principal point and is displaced 2 mm. Using h = d × H ÷ r, how tall is the tree?

  1. 30 m
  2. 133 m
  3. 15 m
  4. 29.3 m
Answer and working

A. 30 m

Relief displacement: h = d × H ÷ r = 2 mm × 1,200 m ÷ 80 mm = 30 m. 133 m inverts d and r; 15 m halves H by mistake.

4 · Satellite sensors and resolutions: spatial, spectral, temporal, radiometric · medium

How many brightness levels can an 11-bit sensor record?

  1. 22
  2. 1,024
  3. 4,096
  4. 2,048
Answer and working

D. 2,048

2¹¹ = 2,048 levels. 22 multiplies 2 × 11 instead of raising 2 to the 11th power; 1,024 is 10-bit and 4,096 is 12-bit.

5 · Vegetation indices (NDVI and others) · easy

A forest pixel has NIR reflectance 0.45 and red reflectance 0.05. Using NDVI = (NIR − red) ÷ (NIR + red), NDVI is:

  1. 0.80
  2. 0.40
  3. 9.00
  4. 0.11
Answer and working

A. 0.80

NDVI = 0.40 ÷ 0.50 = 0.80. 9.00 is the simple ratio NIR ÷ red.

6 · Forest cover and change detection · easy

Image differencing for change detection involves:

  1. Classifying a single image only
  2. Subtracting values between dates
  3. Adding the thermal band to radar
  4. Measuring parallax on photos
Answer and working

B. Subtracting values between dates

Image differencing subtracts pixel values (or an index such as NDVI) of one date from another; a threshold on the difference then separates change from no change. Classifying a single image cannot show change on its own.

7 · Radar (SAR) in forestry · medium

The grainy noise in SAR images is called:

  1. Speckle
  2. Layover from steep slopes
  3. Haze from water vapour
  4. Relief displacement
Answer and working

A. Speckle

It comes from interference among many scatterers in a pixel and is reduced by multi-looking or filtering.

8 · Fire detection and burned-area mapping · medium

VIIRS active-fire detections have a resolution of about:

  1. 375 m
  2. 30 m
  3. 1 km
  4. 10 m
Answer and working

A. 375 m

VIIRS active-fire products are at 375 m, finer than MODIS active fires at 1 km. 30 m and 10 m are Landsat and Sentinel-2 class resolutions, used for burned-area mapping rather than daily active-fire detection.

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Read the subject

Remote Sensing & Photogrammetry for ForestryThe full study manual, free ICAR AIEEA-PGFormat, sections and how it has changed

More ICAR AIEEA-PG practice

Forest Soils & Soil ConservationTree PhysiologyBiometry, Statistics & Computing for ForestryIntroduction to Forestry & the World's ForestsForest Meteorology & ClimatologyAgroforestry Systems & DesignForestry Extension & CommunicationRangeland & Grazing ManagementForest Restoration & Afforestation of Difficult SitesForest Genetics & Tree ImprovementNon-Timber Forest Products, Bamboo & Medicinal PlantsCommunity & Social Forestry, Joint Forest Management & Forest PeoplesDendrology & Tree IdentificationForest Ecology & Ecosystem ProcessesSilviculture of Important Tree SpeciesAgroforestry Management, Interactions & EconomicsForestry Research Methods & Experimental DesignForest Botany & Plant Systematics

Remote Sensing & Photogrammetry for Forestry for other exams

Indian Forest Service Examination · IndiaICAR AICE-JRF/SRF · India

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