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ICAR AICE-JRF/SRF Remote Sensing & Photogrammetry for Forestry: practice questions

ICAR AICE-JRF/SRF (PhD) — Subject 59 Forestry · India · National Testing Agency for ICAR

Original practice questions written to the published syllabus · not past papers
10worked here, free
37written 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 37 questions fall

How our questions for ICAR AICE-JRF/SRF spread across the units of Remote Sensing & Photogrammetry for Forestry. Difficulty: 0 easy, 17 medium, 20 hard.

Image classification: supervised and unsupervised; accuracy assessment5
Radar (SAR) in forestry5
Vegetation indices (NDVI and others)4
National forest-cover monitoring systems4
Electromagnetic spectrum and spectral signatures of vegetation3
Aerial photographs: scale, stereoscopy, parallax and tree height3
Photo-interpretation keys for forest types3
Forest cover and change detection3
Fire detection and burned-area mapping3
Satellite sensors and resolutions: spatial, spectral, temporal, radiometric2
Drones (UAVs) for forest survey2

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

The 'red edge' in a vegetation spectrum is:

  1. The trough in reflectance caused by water at 1.45 µm
  2. The peak of reflectance in the green near 0.55 µm
  3. The steep rise in reflectance from red to NIR
  4. The fall in emitted energy beyond the thermal band
Answer and working

C. The steep rise in reflectance from red to NIR

Its position shifts to shorter wavelengths when chlorophyll falls or the plant is stressed.

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

Why is the relief displacement method of height measurement poorly suited to closed-canopy forest?

  1. Tree bases are hidden
  2. It needs a stereo pair of photos
  3. It works only near the principal point
  4. It needs radar
Answer and working

A. Tree bases are hidden

The displacement d is measured from base to top, so the base must be visible; parallax is preferred in closed canopy.

3 · Photo-interpretation keys for forest types · medium

An elimination (dichotomous) interpretation key:

  1. Leads from general to specific choices
  2. Shows example images for each class to match
  3. Uses only colour to separate classes
  4. Is valid for every region and season
Answer and working

A. Leads from general to specific choices

Like a botanical key; selective keys instead present examples to match.

4 · Photo-interpretation keys for forest types · hard

Photo-interpreted stand maps are most directly used in forest inventory to:

  1. Replace all field measurements of trees
  2. Measure DBH
  3. Stratify field plots
  4. Calibrate radar backscatter models
Answer and working

C. Stratify field plots

Strata of similar type, density and height reduce sampling error; see forest-inventory-sampling.

5 · 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.

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

Commission error for 'forest' is:

  1. Mapped forest that is not forest
  2. True forest that the map missed
  3. The total area of forest on the map
  4. The difference between two image dates
Answer and working

A. Mapped forest that is not forest

Commission error is the share of map 'forest' that the reference data show is not forest: the map committed it wrongly to the class. It is 1 − user's accuracy. Forest that the map missed is omission error, the complement of producer's accuracy.

7 · Forest cover and change detection · medium

A drawback of post-classification comparison for change detection is that:

  1. It gives no from-to information
  2. It needs one date
  3. Errors of both maps combine
  4. It cannot be used with Landsat
Answer and working

C. Errors of both maps combine

It does give from-to classes, but its accuracy is limited by both classifications.

8 · Radar (SAR) in forestry · medium

Which polarisation is generally most sensitive to forest biomass?

  1. VV only
  2. Circular polarisation at X-band
  3. Like-polarised HH at C-band
  4. Cross-polarised HV
Answer and working

D. Cross-polarised HV

Cross-polarised backscatter comes from volume scattering in branches and foliage.

9 · Radar (SAR) in forestry · hard

Flooded forests and mangroves often appear bright in L-band HH images because of:

  1. Thermal emission from warm water
  2. Chlorophyll fluorescence
  3. Double-bounce scattering
  4. Atmospheric Rayleigh scattering
Answer and working

C. Double-bounce scattering

Signals bounce between trunks and the smooth water surface back to the sensor.

10 · National forest-cover monitoring systems · medium

Collect Earth and SEPAL, promoted by FAO, are tools for:

  1. Sawmill recovery calculation
  2. Calculating sawmill recovery and conversion losses
  3. Wildlife census
  4. Sample-based and cloud-based forest monitoring
Answer and working

D. Sample-based and cloud-based forest monitoring

Visual interpretation of sample plots on high-resolution imagery and cloud processing.

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Read the subject

Remote Sensing & Photogrammetry for ForestryThe full study manual, free ICAR AICE-JRF/SRFFormat, sections and how it has changed

More ICAR AICE-JRF/SRF practice

Agroforestry Management, Interactions & EconomicsTree PhysiologyForest Restoration & Afforestation of Difficult SitesVegetative Propagation & Forest BiotechnologyBiometry, Statistics & Computing for ForestryForest Meteorology & ClimatologyConservation Biology & Forest Genetic ResourcesForest Soils & Soil ConservationLandscape Ecology & Forest Ecosystem ModellingForests & Climate Change: Carbon, REDD+ & MRVIntroduction to Forestry & the World's ForestsForestry Research Methods & Experimental DesignForest Fire Science & ManagementAgroforestry Systems & DesignGrowth & Yield ModellingForest Entomology & Integrated Pest ManagementForest Pathology & Wood DecayWildlife Biology & EcologyForest Operations, Harvesting & Forest EngineeringForest Policy, Law & GovernanceUrban Forestry & ArboricultureForest Hydrology & Watershed ManagementWildlife Management & Protected AreasWood Anatomy & Wood Properties

Remote Sensing & Photogrammetry for Forestry for other exams

Indian Forest Service Examination · IndiaICAR AIEEA-PG · India

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