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18-Geol-B2 Terrain Analysis · December 2017

Question 2 of 6: Radar remote sensing

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

National Exams — December 2017 — 04-Geol-B2 Terrain Analysis. Three-hour, open-book exam; approved Casio/Sharp calculator permitted. The paper prints SIX questions; per the instructions only the first five as they appear in the answer book are marked (100 points total), but all six are answered below so the set stands as a complete study resource.

Reference texts: Lillesand, Kiefer & Chipman, Remote Sensing and Image Interpretation (7th ed.) — primary reference for spectral/spatial/radiometric resolution, radar imaging geometry, Landsat sensor comparisons, and image-interpretation elements (Q1, Q2, Q3, Q5); Sabins, Remote Sensing: Principles and Interpretation (3rd ed.) — radar depression-angle geometry, albedo, atmospheric correction, Landsat 8 TIRS (Q1, Q2, Q5); Mollard, J.D. & Janes, J.R., Airphoto Interpretation and the Canadian Landscape (Energy, Mines and Resources Canada, 1984) — the exam's own required reference for the stereopair interpretation questions (Q4, Q6); Van Zuidam, Terrain Analysis and Classification Using Aerial Photographs — slope-form and karst terrain-classification context (Q1, Q6).

Question 2: Radar remote sensing (20 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

a) What is RADAR, and its advantages/disadvantages [15 marks]. RADAR (RAdio Detection And Ranging) is an active microwave remote-sensing system: it transmits its own pulses of microwave energy toward the ground and records the amplitude, phase, and two-way travel time of the backscattered return, rather than passively recording reflected or emitted sunlight/heat as optical and thermal sensors do. Because the sensor supplies its own illumination, radar imaging is entirely independent of solar illumination and largely independent of atmospheric condition.

Advantages. (1) All-weather, day/night operation — microwave wavelengths pass through cloud, haze, smoke, and most rainfall largely unattenuated (the same atmospheric-window logic as Q1b), so radar is the only imaging option for persistently cloudy regions (e.g. tropical, monsoon, and Canadian Arctic/coastal environments) and for operational monitoring that cannot wait for a clear-sky pass. (2) Sensitivity to surface roughness, dielectric constant (strongly controlled by moisture content), and geometric structure rather than to colour/spectral reflectance, giving radar unique discriminating power for soil moisture, sea state, sea ice type/age, and flood-extent mapping (open water is a very strong specular reflector and appears dark). (3) Limited penetration into dry, low-loss media (dry sand, dry snow, vegetation canopy) at longer wavelengths (L-band), useful for sub-canopy or shallow subsurface structure. (4) The side-looking oblique geometry enhances subtle topographic and structural expression (faults, lineaments, drainage) through shadowing, which is valuable for geological structure mapping. (5) Coherent phase information enables interferometric SAR (InSAR) for millimetre-precision ground-deformation monitoring and DEM generation, something no optical sensor can do. Example applications: RADARSAT-2/Constellation for Canadian Arctic sea-ice charting and ship detection; InSAR for volcanic and permafrost-subsidence monitoring; SAR flood mapping through persistent monsoon cloud cover; agricultural crop-type/soil-moisture monitoring via polarimetric decomposition.

Disadvantages. (1) The oblique side-looking geometry produces radar-specific geometric distortions absent from nadir optical imagery — foreshortening and layover on slopes facing the sensor, and radar shadow on slopes facing away — which are severe in mountainous or urban terrain and can render parts of a scene uninterpretable. (2) Coherent-imaging speckle noise (constructive/destructive interference of many sub-resolution scatterers) gives radar imagery a grainy appearance that must be reduced by multilooking or filtering at the cost of resolution. (3) Backscatter intensity is a complex, non-intuitive function of roughness, moisture, dielectric properties, and incidence angle rather than a familiar "colour," so radar interpretation demands specialist training that optical photointerpretation does not. (4) Real-aperture systems (unlike SAR) suffer resolution that degrades linearly with range (Q2b), and even SAR systems are typically costlier to build, launch, and process than equivalent optical systems. (5) Strong, non-Lambertian specular returns from smooth surfaces (calm water, roads) and corner-reflector effects from man-made structures can locally saturate or bias the recorded backscatter.

b) Required wavelength for a real-aperture azimuth resolution of 4 m [5 marks].

Given. Real-aperture (non-SAR) RADAR system; antenna length L = 5 m; platform height h = 1 km above the ground; depression angle γ = 65° from the horizontal to the target; required along-track (azimuth) ground resolution Ra = 4 m (the minimum separation at which two objects are just resolved).

Find. The radar wavelength λ that, in principle, gives exactly this azimuth resolution at the stated geometry.

Side view (range/depression plane) platform ground h = 1 km R (slant range) γ = 65° target (T) Plan view (azimuth plane) antenna, L = 5 m Ra = 4 m (along track) β = λ/L
Real-aperture radar geometry: slant range R set by height and depression angle (side view); azimuth beamwidth β = λ/L sets the along-track footprint at range R (plan view).

Approach. For a real (physical) aperture, the azimuth beamwidth is diffraction-limited to β ≈ λ/L radians, so the along-track ground resolution at slant range R is Ra = Rβ = Rλ/L; first find the slant range R from the height and depression angle, then solve for λ.

  1. Convert height/depression angle to slant range. The platform stands a vertical height h above the ground and looks down at depression angle γ from the horizontal, so the slant range is $$R = \dfrac{h}{\sin\gamma}$$ Substituting h = 1000 m and γ = 65°: $$R = \dfrac{1000}{\sin 65^\circ} = \dfrac{1000}{0.9063} \approx 1103\ \text{m}$$
  2. Solve the diffraction-limited azimuth-resolution relation for λ. Starting from Ra = Rλ/L, $$\lambda = \dfrac{R_a\,L}{R}$$ Substituting Ra = 4 m, L = 5 m, R ≈ 1103 m: $$\lambda = \dfrac{4 \times 5}{1103} \approx 0.0181\ \text{m} = \boxed{1.81\ \text{cm}\ (\approx 18\ \text{mm})}$$
Final results — Q2b
QuantityValue
Slant range, R1103 m
Required wavelength, λ1.81 cm (18.1 mm)
Check: a required wavelength of ≈1.8 cm sits within the real X-band (≈2.5–3.75 cm) / Ku-band (≈1.7–2.5 cm) range used by actual airborne and spaceborne real-aperture and SAR systems, which is a useful physical sanity check on the result — the answer is "in principle" because achieving 4 m azimuth resolution from a 5 m real (non-synthesized) antenna at 1 km range is right at the edge of what a genuinely tiny, impractically short-wavelength real-aperture antenna could do; this is exactly the resolution/range trade-off that motivated the development of SAR (Q1a), whose azimuth resolution does not depend on R at all.