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Indian Forest Service Examination Remote Sensing & Photogrammetry for Forestry: practice questions

Indian Forest Service Examination (IFoS) — Forestry optional · India · Union Public Service Commission

Original practice questions written to the published syllabus · not past papers
10worked here, free
38written 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 38 questions fall

How our questions for Indian Forest Service Examination spread across the units of Remote Sensing & Photogrammetry for Forestry. Difficulty: 4 easy, 24 medium, 10 hard.

Aerial photographs: scale, stereoscopy, parallax and tree height6
Vegetation indices (NDVI and others)5
Forest cover and change detection5
National forest-cover monitoring systems5
Photo-interpretation keys for forest types3
Satellite sensors and resolutions: spatial, spectral, temporal, radiometric3
Image classification: supervised and unsupervised; accuracy assessment3
Radar (SAR) in forestry3
Electromagnetic spectrum and spectral signatures of vegetation2
Drones (UAVs) for forest survey2
Fire detection and burned-area mapping1

10 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 · Electromagnetic spectrum and spectral signatures of vegetation · medium

Compared with a healthy tree, a tree defoliated by insects usually shows:

  1. Lower red and higher near-infrared reflectance than before
  2. Higher red and lower NIR reflectance
  3. No change
  4. Higher reflectance in every band at once
Answer and working

B. Higher red and lower NIR reflectance

Less chlorophyll raises red; less leaf area and damaged mesophyll lower NIR.

2 · 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.

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

On a single photo, which part appears at the largest scale?

  1. A valley floor far below the aircraft
  2. A lake surface at the lowest elevation
  3. A hilltop
  4. All points, since scale is constant
Answer and working

C. A hilltop

Scale = f ÷ (H − h): higher ground is closer to the camera, so its scale is larger.

4 · Photo-interpretation keys for forest types · medium

Trees planted in regular rows are most readily recognised on photographs by:

  1. Tone in the thermal infrared band
  2. Shadow length at noon on flat ground
  3. Pattern
  4. Association with nearby water bodies
Answer and working

C. Pattern

Pattern is the spatial arrangement of objects; plantations show rows and grids.

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 · Vegetation indices (NDVI and others) · medium

The soil adjustment factor L in SAVI is most commonly set to:

  1. 0
  2. 0.5
  3. 1
  4. 2.5
Answer and working

B. 0.5

L = 0.5 suits intermediate vegetation cover; L = 0 makes SAVI equal NDVI.

7 · Image classification: supervised and unsupervised; accuracy assessment · medium

Omission error for a class is the complement of:

  1. User's accuracy for that class
  2. Producer's accuracy
  3. Overall accuracy of the map
  4. Kappa
Answer and working

B. Producer's accuracy

Omission is the share of reference samples of the class that the map missed.

8 · Forest cover and change detection · medium

A national forest-cover assessment counts all lands of more than 1 ha with canopy density above 10% as forest cover. Which rule makes such a cover figure differ from the recorded (legal) forest area?

  1. It ignores ownership and land use
  2. It counts only recorded forest land
  3. It counts only forest-department land
  4. It excludes orchards and plantations
Answer and working

A. It ignores ownership and land use

Cover is counted irrespective of ownership, legal status and land use, so orchards and tree plantations outside recorded forest are included, while recorded forest without canopy is not. Recorded forest area is a legal designation, not a canopy measurement.

9 · Fire detection and burned-area mapping · medium

A national forest agency's satellite fire-alert system typically:

  1. Uses only lookout towers
  2. Sends satellite fire detections to forest officers
  3. Measures burn severity in the field
  4. Predicts lightning strikes from weather radar a week ahead
Answer and working

B. Sends satellite fire detections to forest officers

Such systems take MODIS/VIIRS active-fire detections that fall in forest areas and send them to field officers by text message or email for ground verification and response. They do not measure severity in the field or forecast lightning.

10 · National forest-cover monitoring systems · medium

In a forest-cover report that maps forest wall to wall with a 1 ha minimum mappable unit but estimates 'tree cover' separately by sampling, 'tree cover' refers to:

  1. Tree patches under 1 ha outside recorded forest
  2. All forest with canopy above 70%
  3. Plantations inside reserved forests
  4. Bamboo-bearing area only
Answer and working

A. Tree patches under 1 ha outside recorded forest

Tree cover means patches of trees outside recorded forest areas that are smaller than the 1 ha minimum mappable unit, so they cannot be mapped and are estimated by sampling. Canopy above 70% is the very dense class, a different thing.

Ten here, 38 in the app. The Laisha app has every practice question we have written to Indian Forest Service Examination in this subject, marked as you go, with timed papers, a jump-to-unanswered list and a certificate when you pass at 70 per cent.

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Read the subject

Remote Sensing & Photogrammetry for ForestryThe full study manual, free Indian Forest Service ExaminationFormat, sections and how it has changed

More Indian Forest Service Examination practice

Community & Social Forestry, Joint Forest Management & Forest PeoplesForest Pathology & Wood DecayForest Surveying & MappingWood Seasoning, Preservation & ProtectionForest Policy, Law & GovernanceForest Entomology & Integrated Pest ManagementForest Fire Science & ManagementIntroduction to Forestry & the World's ForestsForest Operations, Harvesting & Forest EngineeringWood Anatomy & Wood PropertiesForest Hydrology & Watershed ManagementWood Products & Forest-Based IndustriesWildlife Management & Protected AreasForests & Climate Change: Carbon, REDD+ & MRVForest Restoration & Afforestation of Difficult SitesConservation Biology & Forest Genetic ResourcesForest Management & Yield RegulationForest Economics & ValuationWorking Plans & Forest Management PlanningForestry Extension & CommunicationForest MensurationGrowth & Yield ModellingPrinciples of SilvicultureSilviculture of Important Tree Species

Remote Sensing & Photogrammetry for Forestry for other exams

ICAR AICE-JRF/SRF · IndiaICAR AIEEA-PG · India

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