Remote Sensing, GIS and Forest Inventory MCQs 2026

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

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Page 1 of 1Questions 1–10 of 38
  1. Q1hard

    Crown density/canopy closure ocular estimates are

    1. Asatellite orbital mechanics formulas
    2. Bfield methods sometimes used in reconnaissance inventory
    3. Ckiln drying schedules
    4. DCITES permit codes
    💡 Explanation:

    Ocular estimates support rapid assessments.

  2. Q2medium

    Temporal resolution refers to

    1. Aonly tree ring width
    2. Bhow often a sensor revisits the same area
    3. Conly bark thickness
    4. Donly resin viscosity
    💡 Explanation:

    Revisit time enables change detection.

  3. Q3Past Paper · PPSC/FPSC/NTSeasy

    A reliable national forest monitoring approach combines

    1. Arumors without maps
    2. Bonly one undated photograph
    3. Cremote sensing, field inventory and institutional reporting
    4. Dabolishing all plots
    💡 Explanation:

    Hybrid systems are best practice for NFMS/REDD+.

  4. Q4easy

    Open-source tools such as QGIS are used to

    1. Atap chir pine automatically
    2. Boperate fire helicopters
    3. Creplace field DBH measurement entirely
    4. Dperform many forest GIS tasks cost-effectively
    💡 Explanation:

    Accessible GIS software widens capacity.

  5. Q5Past Paper · PPSC/FPSC/NTSmedium

    Forest carbon inventory builds on

    1. Abiomass estimation from inventory and allometry, often with RS support
    2. Bonly hotel bed counts
    3. Conly trophy horn lengths
    4. Donly kiln sticker spacing
    💡 Explanation:

    Carbon MRV extends classical inventory.

  6. Q6medium

    Buffer analysis in GIS can help

    1. Aseason timber
    2. Bgrade plywood
    3. Cmap zones around roads, rivers or protected area edges
    4. Dextinguish crown fire alone
    💡 Explanation:

    Buffers support impact and protection zoning.

  7. Q7Past Paper · PPSC/FPSC/NTSmedium

    Permanent sample plots (PSPs) are used to

    1. Ameasure only one-time tourist counts
    2. Breplace all remote sensing forever
    3. Ctap resin exclusively
    4. Dmonitor growth, mortality and ingrowth over time
    💡 Explanation:

    PSPs underpin growth and yield studies.

  8. Q8hard

    Error of omission in map accuracy means

    1. Aa real forest area missed by the classification
    2. Bextra forest mapped where none exists only
    3. Cperfect classification
    4. Donly GPS battery failure
    💡 Explanation:

    Omission and commission describe different errors.

  9. Q9medium

    Spatial resolution of an image refers to

    1. Athe number of forest guards
    2. Bthe ground size represented by one pixel
    3. Cthe age of the satellite only
    4. Dthe timber royalty rate
    💡 Explanation:

    Finer resolution shows smaller ground details.

  10. Q10Past Paper · PPSC/FPSC/NTSeasy

    Remote sensing in forestry means

    1. Aonly measuring DBH with calipers
    2. Bacquiring information about forests from sensors without direct contact
    3. Conly counting nursery bags by hand
    4. Donly reading the Forest Act
    💡 Explanation:

    Satellites, aircraft and drones sense forest conditions remotely.

  11. Q11Past Paper · PPSC/FPSC/NTSeasy

    GIS stands for

    1. AGlobal Insect Survey
    2. BGeneral Inventory of Sapwood
    3. CGeographic Information System
    4. DGreen Irrigation Schedule
    💡 Explanation:

    GIS stores, analyzes and displays spatial data.

  12. Q12Past Paper · PPSC/FPSC/NTSeasy

    NDVI is commonly used as

    1. Aan index of green vegetation vigor from red and near-infrared reflectance
    2. Ba timber grading stamp
    3. Ca resin tapping tool
    4. Da fire extinguisher type
    💡 Explanation:

    NDVI helps map vegetation greenness and change.

  13. Q13Past Paper · PPSC/FPSC/NTSeasy

    A high NDVI generally indicates

    1. Abare rock or water
    2. Bdense green vegetation
    3. Cclouds only
    4. Dasphalt roads
    💡 Explanation:

    Healthy green canopies reflect NIR strongly and absorb red.

  14. Q14Past Paper · PPSC/FPSC/NTSeasy

    Forest inventory aims to

    1. Aonly list tourist hotels
    2. Bestimate area, growing stock, structure and related attributes
    3. Conly measure river salinity
    4. Donly count ballot papers
    💡 Explanation:

    Inventory provides data for management and policy.

  15. Q15easy

    Compartment is a classical management unit that GIS can

    1. Amap and attribute for planning and control
    2. Bdissolve into one pixel without meaning
    3. Creplace with random points only
    4. Dignore in all working plans
    💡 Explanation:

    Digital compartment layers support planning.

  16. Q16Past Paper · PPSC/FPSC/NTSmedium

    Basal area of a stand is

    1. Athe leaf area of one seedling
    2. Bthe park visitor density
    3. Cthe cross-sectional area of stems per unit ground area
    4. Dthe resin yield per blaze
    💡 Explanation:

    Basal area summarizes stand density/stocking.

  17. Q17medium

    Volume tables are used to

    1. Apredict only rainfall
    2. Bgrade only plywood glue
    3. Cset only hunting quotas
    4. Destimate tree or stand volume from measurable dimensions
    💡 Explanation:

    Volume models convert DBH/height to volume.

  18. Q18Past Paper · PPSC/FPSC/NTShard

    Radar remote sensing can be advantageous because it

    1. Ameasures only bark color in sunlight
    2. Bworks only indoors
    3. Creplaces the need for any GIS
    4. Dcan penetrate clouds and sense structure/moisture-related signals
    💡 Explanation:

    SAR complements optical data in cloudy regions.

  19. Q19Past Paper · PPSC/FPSC/NTSmedium

    Stratified sampling improves inventory by

    1. Adividing the forest into more homogeneous strata before sampling
    2. Bmeasuring only one tree nationwide
    3. Cignoring forest type differences
    4. Dsampling only roadsides always
    💡 Explanation:

    Stratification reduces variance for the same effort.

  20. Q20Past Paper · PPSC/FPSC/NTSeasy

    GPS is used in forestry to

    1. Aseason timber in kilns
    2. Btap resin chemically
    3. Cgrade furniture color
    4. Drecord locations of plots, boundaries and features
    💡 Explanation:

    GPS/GNSS supports field navigation and mapping.

  21. Q21easy

    A shapefile or geodatabase layer in GIS can store

    1. Aonly kiln schedules
    2. Bonly chemical formulas of preservatives
    3. Cforest boundaries, roads, plots and other spatial features
    4. Donly oral folklore without coordinates
    💡 Explanation:

    Vector layers hold mapped forest features.

  22. Q22medium

    Raster data in remote sensing is organized as

    1. Aonly point GPS posts
    2. Ba grid of pixels with values such as reflectance
    3. Conly handwritten ledgers
    4. Donly timber auction lists
    💡 Explanation:

    Images are raster grids.

  23. Q23easy

    Cloud cover is a limitation of

    1. ADBH tapes
    2. Boptical satellite remote sensing of forests
    3. Cincrement borers
    4. Dsoil pH kits
    💡 Explanation:

    Clouds obscure optical imagery; radar can help.

  24. Q24Past Paper · PPSC/FPSC/NTSeasy

    Change detection in forest monitoring compares

    1. Aonly one static photograph forever
    2. Bonly nursery price lists
    3. Cimages or maps from different dates to find loss/gain
    4. Donly wildlife trophy scores
    💡 Explanation:

    Multi-date analysis tracks deforestation and recovery.

  25. Q25medium

    Canopy cover estimation from remote sensing helps to

    1. Amap forest density and degradation patterns
    2. Breplace all field plots forever without checks
    3. Cmeasure only soil pH
    4. Dcount only termites
    💡 Explanation:

    Canopy metrics support area and condition mapping.

  26. Q26Past Paper · PPSC/FPSC/NTShard

    LiDAR in forestry is valued for

    1. Aseasoning lumber
    2. Bmeasuring canopy height and structure with laser pulses
    3. Ctapping chilghoza
    4. Dprinting working plans only
    💡 Explanation:

    LiDAR yields 3D forest structure information.

  27. Q27Past Paper · PPSC/FPSC/NTSmedium

    Allometric equations relate

    1. Aeasy tree measurements to biomass or volume
    2. Bonly political boundaries to rainfall
    3. Conly NDVI to ocean depth
    4. Donly firebreaks to hotel stars
    💡 Explanation:

    Allometry underpins carbon and volume estimation.

  28. Q28easy

    A working plan inventory typically estimates

    1. Agrowing stock by species/groups and diameter classes
    2. Bonly the number of smartphones in a village
    3. Conly marine fish catch
    4. Donly cement production
    💡 Explanation:

    Stock tables inform yield regulation.

  29. Q29hard

    Accuracy assessment of a classified forest map uses

    1. Aonly the map author's opinion
    2. Bonly the print color brightness
    3. Creference data to estimate classification errors
    4. Donly the file size on disk
    💡 Explanation:

    Confusion matrices quantify map accuracy.

  30. Q30Past Paper · PPSC/FPSC/NTSeasy

    Ground truthing means

    1. Acollecting field reference data to calibrate or validate remote sensing
    2. Baccepting satellite maps without checks
    3. Cignoring all GPS
    4. Dburning sample plots
    💡 Explanation:

    Field data anchor remote methods.

  31. Q31medium

    Forest type mapping combines

    1. Aonly random colors without legend
    2. Bonly timber prices
    3. Cremote sensing, ecological knowledge and field checks
    4. Donly social media likes
    💡 Explanation:

    Reliable maps need spectral and ecological logic.

  32. Q32Past Paper · PPSC/FPSC/NTSmedium

    Illegal logging detection can be supported by

    1. Ahiding all imagery
    2. Bbanning GPS in the field
    3. Cfrequent satellite monitoring of canopy disturbance
    4. Dmeasuring only nursery humidity
    💡 Explanation:

    Alerts from imagery aid enforcement.

  33. Q33easy

    Area of interest (AOI) in a GIS project is

    1. Athe chemical AOI of preservatives
    2. Bthe age of inventory officers
    3. Cthe brand of calipers
    4. Dthe geographic extent under analysis
    💡 Explanation:

    AOI defines the study boundary.

  34. Q34hard

    Coordinate reference systems matter because

    1. Atrees grow only in one projection
    2. BNDVI cannot be calculated otherwise ever
    3. CDBH depends on WGS84 only
    4. Dspatial data must align in a common projection/datum
    💡 Explanation:

    Misaligned CRS causes location errors.

  35. Q35medium

    Drone (UAV) imagery is useful for

    1. Areplacing all national satellites overnight always
    2. Bmeasuring deep ocean trenches
    3. Cissuing forest offence FIRs alone
    4. Dhigh-resolution mapping of plantations, gaps and damage
    💡 Explanation:

    UAVs fill the scale between field and satellites.

  36. Q36Past Paper · PPSC/FPSC/NTSeasy

    Growing stock per hectare is a key output of

    1. Aonly eco-tourism ticketing
    2. Bforest inventory analysis
    3. Conly resin drum counting
    4. Donly park picnic planning
    💡 Explanation:

    Volume/ha summarizes productive stock.

  37. Q37medium

    Sampling intensity in inventory is a trade-off between

    1. Acost/effort and precision of estimates
    2. Bignoring all statistics
    3. Cmeasuring zero plots
    4. Dusing only one pixel forever
    💡 Explanation:

    More plots usually mean tighter confidence intervals.

  38. Q38medium

    Integration of GIS with forest MIS helps

    1. Adelete all spatial data
    2. Bban inventories
    3. Clink attribute records to mapped compartments and beats
    4. Dreplace trees with spreadsheets only
    💡 Explanation:

    Spatial databases modernize forest administration.