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Page 1 of 1Questions 1–10 of 38
Q1easy
Area of interest (AOI) in a GIS project is
Athe chemical AOI of preservatives✓
Bthe age of inventory officers✓
Cthe brand of calipers✓
Dthe geographic extent under analysis✓
💡 Explanation:
AOI defines the study boundary.
Q2hard
Coordinate reference systems matter because
Atrees grow only in one projection✓
BNDVI cannot be calculated otherwise ever✓
CDBH depends on WGS84 only✓
Dspatial data must align in a common projection/datum✓
💡 Explanation:
Misaligned CRS causes location errors.
Q3hard
Crown density/canopy closure ocular estimates are
Asatellite orbital mechanics formulas✓
Bfield methods sometimes used in reconnaissance inventory✓
Ckiln drying schedules✓
DCITES permit codes✓
💡 Explanation:
Ocular estimates support rapid assessments.
Q4medium
Spatial resolution of an image refers to
Athe number of forest guards✓
Bthe ground size represented by one pixel✓
Cthe age of the satellite only✓
Dthe timber royalty rate✓
💡 Explanation:
Finer resolution shows smaller ground details.
Q5Past Paper · PPSC/FPSC/NTSeasy
Remote sensing in forestry means
Aonly measuring DBH with calipers✓
Bacquiring information about forests from sensors without direct contact✓
Conly counting nursery bags by hand✓
Donly reading the Forest Act✓
💡 Explanation:
Satellites, aircraft and drones sense forest conditions remotely.
Q6Past Paper · PPSC/FPSC/NTSeasy
GIS stands for
AGlobal Insect Survey✓
BGeneral Inventory of Sapwood✓
CGeographic Information System✓
DGreen Irrigation Schedule✓
💡 Explanation:
GIS stores, analyzes and displays spatial data.
Q7Past Paper · PPSC/FPSC/NTSeasy
NDVI is commonly used as
Aan index of green vegetation vigor from red and near-infrared reflectance✓
Ba timber grading stamp✓
Ca resin tapping tool✓
Da fire extinguisher type✓
💡 Explanation:
NDVI helps map vegetation greenness and change.
Q8Past Paper · PPSC/FPSC/NTSeasy
A high NDVI generally indicates
Abare rock or water✓
Bdense green vegetation✓
Cclouds only✓
Dasphalt roads✓
💡 Explanation:
Healthy green canopies reflect NIR strongly and absorb red.
Q9Past Paper · PPSC/FPSC/NTShard
Radar remote sensing can be advantageous because it
Ameasures only bark color in sunlight✓
Bworks only indoors✓
Creplaces the need for any GIS✓
Dcan penetrate clouds and sense structure/moisture-related signals✓
💡 Explanation:
SAR complements optical data in cloudy regions.
Q10Past Paper · PPSC/FPSC/NTSeasy
Forest inventory aims to
Aonly list tourist hotels✓
Bestimate area, growing stock, structure and related attributes✓
Conly measure river salinity✓
Donly count ballot papers✓
💡 Explanation:
Inventory provides data for management and policy.
Q11medium
Sampling intensity in inventory is a trade-off between
Acost/effort and precision of estimates✓
Bignoring all statistics✓
Cmeasuring zero plots✓
Dusing only one pixel forever✓
💡 Explanation:
More plots usually mean tighter confidence intervals.
Q12Past Paper · PPSC/FPSC/NTSmedium
Basal area of a stand is
Athe leaf area of one seedling✓
Bthe park visitor density✓
Cthe cross-sectional area of stems per unit ground area✓
Dthe resin yield per blaze✓
💡 Explanation:
Basal area summarizes stand density/stocking.
Q13medium
Volume tables are used to
Apredict only rainfall✓
Bgrade only plywood glue✓
Cset only hunting quotas✓
Destimate tree or stand volume from measurable dimensions✓
💡 Explanation:
Volume models convert DBH/height to volume.
Q14Past Paper · PPSC/FPSC/NTSeasy
Growing stock per hectare is a key output of
Aonly eco-tourism ticketing✓
Bforest inventory analysis✓
Conly resin drum counting✓
Donly park picnic planning✓
💡 Explanation:
Volume/ha summarizes productive stock.
Q15Past Paper · PPSC/FPSC/NTSmedium
Stratified sampling improves inventory by
Adividing the forest into more homogeneous strata before sampling✓
Bmeasuring only one tree nationwide✓
Cignoring forest type differences✓
Dsampling only roadsides always✓
💡 Explanation:
Stratification reduces variance for the same effort.
Q16Past Paper · PPSC/FPSC/NTSeasy
GPS is used in forestry to
Aseason timber in kilns✓
Btap resin chemically✓
Cgrade furniture color✓
Drecord locations of plots, boundaries and features✓
💡 Explanation:
GPS/GNSS supports field navigation and mapping.
Q17easy
A shapefile or geodatabase layer in GIS can store
Aonly kiln schedules✓
Bonly chemical formulas of preservatives✓
Cforest boundaries, roads, plots and other spatial features✓
Donly oral folklore without coordinates✓
💡 Explanation:
Vector layers hold mapped forest features.
Q18medium
Raster data in remote sensing is organized as
Aonly point GPS posts✓
Ba grid of pixels with values such as reflectance✓
Conly handwritten ledgers✓
Donly timber auction lists✓
💡 Explanation:
Images are raster grids.
Q19medium
Drone (UAV) imagery is useful for
Areplacing all national satellites overnight always✓
Bmeasuring deep ocean trenches✓
Cissuing forest offence FIRs alone✓
Dhigh-resolution mapping of plantations, gaps and damage✓
💡 Explanation:
UAVs fill the scale between field and satellites.
Q20Past Paper · PPSC/FPSC/NTSeasy
Change detection in forest monitoring compares
Aonly one static photograph forever✓
Bonly nursery price lists✓
Cimages or maps from different dates to find loss/gain✓
Donly wildlife trophy scores✓
💡 Explanation:
Multi-date analysis tracks deforestation and recovery.
Q21medium
Canopy cover estimation from remote sensing helps to
Amap forest density and degradation patterns✓
Breplace all field plots forever without checks✓
Cmeasure only soil pH✓
Dcount only termites✓
💡 Explanation:
Canopy metrics support area and condition mapping.
Q22Past Paper · PPSC/FPSC/NTShard
LiDAR in forestry is valued for
Aseasoning lumber✓
Bmeasuring canopy height and structure with laser pulses✓
Ctapping chilghoza✓
Dprinting working plans only✓
💡 Explanation:
LiDAR yields 3D forest structure information.
Q23Past Paper · PPSC/FPSC/NTSmedium
Allometric equations relate
Aeasy tree measurements to biomass or volume✓
Bonly political boundaries to rainfall✓
Conly NDVI to ocean depth✓
Donly firebreaks to hotel stars✓
💡 Explanation:
Allometry underpins carbon and volume estimation.
Q24easy
A working plan inventory typically estimates
Agrowing stock by species/groups and diameter classes✓
Bonly the number of smartphones in a village✓
Conly marine fish catch✓
Donly cement production✓
💡 Explanation:
Stock tables inform yield regulation.
Q25hard
Accuracy assessment of a classified forest map uses
Aonly the map author's opinion✓
Bonly the print color brightness✓
Creference data to estimate classification errors✓
Donly the file size on disk✓
💡 Explanation:
Confusion matrices quantify map accuracy.
Q26Past Paper · PPSC/FPSC/NTSeasy
Ground truthing means
Acollecting field reference data to calibrate or validate remote sensing✓
Baccepting satellite maps without checks✓
Cignoring all GPS✓
Dburning sample plots✓
💡 Explanation:
Field data anchor remote methods.
Q27Past Paper · PPSC/FPSC/NTSeasy
A reliable national forest monitoring approach combines
Arumors without maps✓
Bonly one undated photograph✓
Cremote sensing, field inventory and institutional reporting✓
Dabolishing all plots✓
💡 Explanation:
Hybrid systems are best practice for NFMS/REDD+.
Q28Past Paper · PPSC/FPSC/NTSmedium
Illegal logging detection can be supported by
Ahiding all imagery✓
Bbanning GPS in the field✓
Cfrequent satellite monitoring of canopy disturbance✓
Dmeasuring only nursery humidity✓
💡 Explanation:
Alerts from imagery aid enforcement.
Q29medium
Temporal resolution refers to
Aonly tree ring width✓
Bhow often a sensor revisits the same area✓
Conly bark thickness✓
Donly resin viscosity✓
💡 Explanation:
Revisit time enables change detection.
Q30easy
Cloud cover is a limitation of
ADBH tapes✓
Boptical satellite remote sensing of forests✓
Cincrement borers✓
Dsoil pH kits✓
💡 Explanation:
Clouds obscure optical imagery; radar can help.
Q31medium
Integration of GIS with forest MIS helps
Adelete all spatial data✓
Bban inventories✓
Clink attribute records to mapped compartments and beats✓