Remote Sensing, GIS and Forest Inventory MCQs 2026

38 questions with detailed answers · 18 from past papers · 4 quiz batches available

📚 Forestry Mcqs 📄 18 Past-Paper Qs ✓ Free · No Login Needed
🎯 Mock Test

Read each question, think about the answer, then click Show Answer to reveal the correct option and explanation. Load 10 at a time so it stays manageable — perfect for one-topic study sessions on the bus or during a break.

Page 1 of 1 Questions 110 of 38
  1. Q1 easy

    Area of interest (AOI) in a GIS project is

    1. A the chemical AOI of preservatives
    2. B the age of inventory officers
    3. C the brand of calipers
    4. D the geographic extent under analysis
    💡 Explanation:

    AOI defines the study boundary.

  2. Q2 hard

    Coordinate reference systems matter because

    1. A trees grow only in one projection
    2. B NDVI cannot be calculated otherwise ever
    3. C DBH depends on WGS84 only
    4. D spatial data must align in a common projection/datum
    💡 Explanation:

    Misaligned CRS causes location errors.

  3. Q3 hard

    Crown density/canopy closure ocular estimates are

    1. A satellite orbital mechanics formulas
    2. B field methods sometimes used in reconnaissance inventory
    3. C kiln drying schedules
    4. D CITES permit codes
    💡 Explanation:

    Ocular estimates support rapid assessments.

  4. Q4 medium

    Spatial resolution of an image refers to

    1. A the number of forest guards
    2. B the ground size represented by one pixel
    3. C the age of the satellite only
    4. D the timber royalty rate
    💡 Explanation:

    Finer resolution shows smaller ground details.

  5. Q5 Past Paper · PPSC/FPSC/NTS easy

    Remote sensing in forestry means

    1. A only measuring DBH with calipers
    2. B acquiring information about forests from sensors without direct contact
    3. C only counting nursery bags by hand
    4. D only reading the Forest Act
    💡 Explanation:

    Satellites, aircraft and drones sense forest conditions remotely.

  6. Q6 Past Paper · PPSC/FPSC/NTS easy

    GIS stands for

    1. A Global Insect Survey
    2. B General Inventory of Sapwood
    3. C Geographic Information System
    4. D Green Irrigation Schedule
    💡 Explanation:

    GIS stores, analyzes and displays spatial data.

  7. Q7 Past Paper · PPSC/FPSC/NTS easy

    NDVI is commonly used as

    1. A an index of green vegetation vigor from red and near-infrared reflectance
    2. B a timber grading stamp
    3. C a resin tapping tool
    4. D a fire extinguisher type
    💡 Explanation:

    NDVI helps map vegetation greenness and change.

  8. Q8 Past Paper · PPSC/FPSC/NTS easy

    A high NDVI generally indicates

    1. A bare rock or water
    2. B dense green vegetation
    3. C clouds only
    4. D asphalt roads
    💡 Explanation:

    Healthy green canopies reflect NIR strongly and absorb red.

  9. Q9 Past Paper · PPSC/FPSC/NTS hard

    Radar remote sensing can be advantageous because it

    1. A measures only bark color in sunlight
    2. B works only indoors
    3. C replaces the need for any GIS
    4. D can penetrate clouds and sense structure/moisture-related signals
    💡 Explanation:

    SAR complements optical data in cloudy regions.

  10. Q10 Past Paper · PPSC/FPSC/NTS easy

    Forest inventory aims to

    1. A only list tourist hotels
    2. B estimate area, growing stock, structure and related attributes
    3. C only measure river salinity
    4. D only count ballot papers
    💡 Explanation:

    Inventory provides data for management and policy.

  11. Q11 medium

    Sampling intensity in inventory is a trade-off between

    1. A cost/effort and precision of estimates
    2. B ignoring all statistics
    3. C measuring zero plots
    4. D using only one pixel forever
    💡 Explanation:

    More plots usually mean tighter confidence intervals.

  12. Q12 Past Paper · PPSC/FPSC/NTS medium

    Basal area of a stand is

    1. A the leaf area of one seedling
    2. B the park visitor density
    3. C the cross-sectional area of stems per unit ground area
    4. D the resin yield per blaze
    💡 Explanation:

    Basal area summarizes stand density/stocking.

  13. Q13 medium

    Volume tables are used to

    1. A predict only rainfall
    2. B grade only plywood glue
    3. C set only hunting quotas
    4. D estimate tree or stand volume from measurable dimensions
    💡 Explanation:

    Volume models convert DBH/height to volume.

  14. Q14 Past Paper · PPSC/FPSC/NTS easy

    Growing stock per hectare is a key output of

    1. A only eco-tourism ticketing
    2. B forest inventory analysis
    3. C only resin drum counting
    4. D only park picnic planning
    💡 Explanation:

    Volume/ha summarizes productive stock.

  15. Q15 Past Paper · PPSC/FPSC/NTS medium

    Stratified sampling improves inventory by

    1. A dividing the forest into more homogeneous strata before sampling
    2. B measuring only one tree nationwide
    3. C ignoring forest type differences
    4. D sampling only roadsides always
    💡 Explanation:

    Stratification reduces variance for the same effort.

  16. Q16 Past Paper · PPSC/FPSC/NTS easy

    GPS is used in forestry to

    1. A season timber in kilns
    2. B tap resin chemically
    3. C grade furniture color
    4. D record locations of plots, boundaries and features
    💡 Explanation:

    GPS/GNSS supports field navigation and mapping.

  17. Q17 easy

    A shapefile or geodatabase layer in GIS can store

    1. A only kiln schedules
    2. B only chemical formulas of preservatives
    3. C forest boundaries, roads, plots and other spatial features
    4. D only oral folklore without coordinates
    💡 Explanation:

    Vector layers hold mapped forest features.

  18. Q18 medium

    Raster data in remote sensing is organized as

    1. A only point GPS posts
    2. B a grid of pixels with values such as reflectance
    3. C only handwritten ledgers
    4. D only timber auction lists
    💡 Explanation:

    Images are raster grids.

  19. Q19 medium

    Drone (UAV) imagery is useful for

    1. A replacing all national satellites overnight always
    2. B measuring deep ocean trenches
    3. C issuing forest offence FIRs alone
    4. D high-resolution mapping of plantations, gaps and damage
    💡 Explanation:

    UAVs fill the scale between field and satellites.

  20. Q20 Past Paper · PPSC/FPSC/NTS easy

    Change detection in forest monitoring compares

    1. A only one static photograph forever
    2. B only nursery price lists
    3. C images or maps from different dates to find loss/gain
    4. D only wildlife trophy scores
    💡 Explanation:

    Multi-date analysis tracks deforestation and recovery.

  21. Q21 medium

    Canopy cover estimation from remote sensing helps to

    1. A map forest density and degradation patterns
    2. B replace all field plots forever without checks
    3. C measure only soil pH
    4. D count only termites
    💡 Explanation:

    Canopy metrics support area and condition mapping.

  22. Q22 Past Paper · PPSC/FPSC/NTS hard

    LiDAR in forestry is valued for

    1. A seasoning lumber
    2. B measuring canopy height and structure with laser pulses
    3. C tapping chilghoza
    4. D printing working plans only
    💡 Explanation:

    LiDAR yields 3D forest structure information.

  23. Q23 Past Paper · PPSC/FPSC/NTS medium

    Allometric equations relate

    1. A easy tree measurements to biomass or volume
    2. B only political boundaries to rainfall
    3. C only NDVI to ocean depth
    4. D only firebreaks to hotel stars
    💡 Explanation:

    Allometry underpins carbon and volume estimation.

  24. Q24 easy

    A working plan inventory typically estimates

    1. A growing stock by species/groups and diameter classes
    2. B only the number of smartphones in a village
    3. C only marine fish catch
    4. D only cement production
    💡 Explanation:

    Stock tables inform yield regulation.

  25. Q25 hard

    Accuracy assessment of a classified forest map uses

    1. A only the map author's opinion
    2. B only the print color brightness
    3. C reference data to estimate classification errors
    4. D only the file size on disk
    💡 Explanation:

    Confusion matrices quantify map accuracy.

  26. Q26 Past Paper · PPSC/FPSC/NTS easy

    Ground truthing means

    1. A collecting field reference data to calibrate or validate remote sensing
    2. B accepting satellite maps without checks
    3. C ignoring all GPS
    4. D burning sample plots
    💡 Explanation:

    Field data anchor remote methods.

  27. Q27 Past Paper · PPSC/FPSC/NTS easy

    A reliable national forest monitoring approach combines

    1. A rumors without maps
    2. B only one undated photograph
    3. C remote sensing, field inventory and institutional reporting
    4. D abolishing all plots
    💡 Explanation:

    Hybrid systems are best practice for NFMS/REDD+.

  28. Q28 Past Paper · PPSC/FPSC/NTS medium

    Illegal logging detection can be supported by

    1. A hiding all imagery
    2. B banning GPS in the field
    3. C frequent satellite monitoring of canopy disturbance
    4. D measuring only nursery humidity
    💡 Explanation:

    Alerts from imagery aid enforcement.

  29. Q29 medium

    Temporal resolution refers to

    1. A only tree ring width
    2. B how often a sensor revisits the same area
    3. C only bark thickness
    4. D only resin viscosity
    💡 Explanation:

    Revisit time enables change detection.

  30. Q30 easy

    Cloud cover is a limitation of

    1. A DBH tapes
    2. B optical satellite remote sensing of forests
    3. C increment borers
    4. D soil pH kits
    💡 Explanation:

    Clouds obscure optical imagery; radar can help.

  31. Q31 medium

    Integration of GIS with forest MIS helps

    1. A delete all spatial data
    2. B ban inventories
    3. C link attribute records to mapped compartments and beats
    4. D replace trees with spreadsheets only
    💡 Explanation:

    Spatial databases modernize forest administration.

  32. Q32 medium

    Forest type mapping combines

    1. A only random colors without legend
    2. B only timber prices
    3. C remote sensing, ecological knowledge and field checks
    4. D only social media likes
    💡 Explanation:

    Reliable maps need spectral and ecological logic.

  33. Q33 easy

    Open-source tools such as QGIS are used to

    1. A tap chir pine automatically
    2. B operate fire helicopters
    3. C replace field DBH measurement entirely
    4. D perform many forest GIS tasks cost-effectively
    💡 Explanation:

    Accessible GIS software widens capacity.

  34. Q34 Past Paper · PPSC/FPSC/NTS medium

    Forest carbon inventory builds on

    1. A biomass estimation from inventory and allometry, often with RS support
    2. B only hotel bed counts
    3. C only trophy horn lengths
    4. D only kiln sticker spacing
    💡 Explanation:

    Carbon MRV extends classical inventory.

  35. Q35 medium

    Buffer analysis in GIS can help

    1. A season timber
    2. B grade plywood
    3. C map zones around roads, rivers or protected area edges
    4. D extinguish crown fire alone
    💡 Explanation:

    Buffers support impact and protection zoning.

  36. Q36 Past Paper · PPSC/FPSC/NTS medium

    Permanent sample plots (PSPs) are used to

    1. A measure only one-time tourist counts
    2. B replace all remote sensing forever
    3. C tap resin exclusively
    4. D monitor growth, mortality and ingrowth over time
    💡 Explanation:

    PSPs underpin growth and yield studies.

  37. Q37 hard

    Error of omission in map accuracy means

    1. A a real forest area missed by the classification
    2. B extra forest mapped where none exists only
    3. C perfect classification
    4. D only GPS battery failure
    💡 Explanation:

    Omission and commission describe different errors.

  38. Q38 easy

    Compartment is a classical management unit that GIS can

    1. A map and attribute for planning and control
    2. B dissolve into one pixel without meaning
    3. C replace with random points only
    4. D ignore in all working plans
    💡 Explanation:

    Digital compartment layers support planning.