ICAR AICE-JRF/SRF (PhD) — Subject 59 Forestry · India · National Testing Agency for ICAR
Original practice questions written to the published syllabus · not past papersSpatial data and analysis for forest management: GIS data models, spatial analysis, GNSS, airborne and terrestrial LiDAR, and the digital tools of precision forestry. General remote sensing and GIS for land and water is in the Agricultural Engineering track (remote-sensing-gis).
In the exams: ICAR AICE-JRF 59 Unit 4 (GIS and remote sensing concept and scope); GISP and ASPRS certifications; growing share of SAF and FPBC professional practice
How our questions for ICAR AICE-JRF/SRF spread across the units of Forest GIS, GNSS & LiDAR Analytics. Difficulty: 3 easy, 15 medium, 10 hard.
| Area-based and individual-tree LiDAR inventory | 6 | |
| Terrestrial and mobile laser scanning | 4 | |
| Spatial analysis: overlay, buffer, terrain analysis | 3 | |
| GNSS data collection and accuracy | 3 | |
| Airborne LiDAR: point clouds, canopy height models | 3 | |
| Spatial decision support and multi-criteria analysis | 3 | |
| GIS concepts: vector and raster data, projections, datums | 2 | |
| Open data and cloud platforms for forest monitoring | 2 | |
| Forest stand and compartment databases | 1 | |
| Map production and cartographic standards | 1 |
Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.
Why is the spherical Web Mercator projection used by many online base maps unsuitable for measuring forest area at high latitudes?
B. It inflates areas strongly as latitude increases
Mercator-type projections enlarge areas towards the poles (the scale factor rises with the secant of latitude), so areas far from the equator are overstated. It is conformal, not equal-area.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
A classified Landsat image has 12,000 forest cells of 30 m × 30 m. The forest area is:
C. 1,080 ha
Each cell = 900 m² = 0.09 ha; 12,000 × 0.09 = 1,080 ha. 360 multiplies by 30 m instead of 900 m²; 108 and 10,800 are factor-of-ten slips.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
In the D8 flow-direction method, each DEM cell drains to:
C. The steepest downslope of its eight neighbours
D8 assigns all flow to the single steepest of eight neighbours. Splitting flow among lower neighbours describes multiple-flow-direction methods such as D-infinity or MFD.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
Why do slopes computed from a 30 m satellite DEM tend to be lower than those from a 1 m LiDAR DTM on the same rugged terrain?
B. Coarse cells average out short steep features
Large cells smooth the surface, so short steep pitches disappear. Satellite DEMs from radar or stereo imagery include canopy effects rather than the bare ground, and a LiDAR DTM excludes the canopy.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
Which error source is especially severe for GNSS under a forest canopy?
C. Multipath from signals reflected by trunks and branches
Under canopy, reflected and attenuated signals (multipath) dominate. Satellite clock and ionospheric errors exist everywhere and are not caused by the forest.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
Why can airborne LiDAR map terrain beneath a closed forest when optical imagery cannot?
D. Pulses passing through canopy gaps return from the ground
Small footprints find gaps between leaves and crowns; last returns from the ground are classified to build the DTM. Laser light does reflect from leaves, and LiDAR uses near-infrared or green light, not microwaves.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
In individual-tree detection, treetops are most commonly located as:
C. Local maxima in a smoothed canopy height model
Treetops are local height maxima; crowns are then delineated by watershed segmentation or region growing.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
Why are multi-scan TLS designs used in forest plots instead of a single scan?
C. To reduce occlusion of stems hidden behind others
Stems behind nearer stems are invisible from one position; registering scans from several positions fills those shadows.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
GEDI, operating on the International Space Station, provides:
A. Spaceborne LiDAR samples of canopy height in 25 m footprints
GEDI samples footprints of about 25 m between about 51.6° N and S; maps require combining with imagery. Sentinel-1 is the C-band radar; MODIS gives daily 250 m–1 km data.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
Cartographic generalisation for a 1:250,000 overview map includes:
B. Selecting, simplifying and aggregating features
Generalisation reduces detail to suit the scale; it cannot improve accuracy and is independent of projection.
Further reading: Longley P; Bolstad P; Wulder M; Maltamo M
Ten here, 28 in the app. The Laisha app has every practice question we have written to ICAR AICE-JRF/SRF 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.
Free for ten days, then one subscription of US$10 a month. We would rather say so here than have you find it later.
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