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Chapter 8

Surface Model

Syllabus & Marks Distribution

DetailInformation
Chapter8 — Surface Model
Teaching Hours3 hours
Marks Allocation6 marks
Total Course Marks80 marks
Weight7.5% of total

Syllabus Topics

  • DEM (Digital Elevation Model)
  • Slope
  • Aspect
  • Other raster functions

Importance & Frequently Asked Topics LOW

Marks Distribution by Each Exam

Asked 4 times across past exams. Total marks: 20. Average marks per exam: ~5.

ExamMarks
2071 Bhadra—
2071 Magh6
2072 Ashwin5
2072 Magh—
2073 Bhadra—
2073 Magh—
2074 Bhadra—
2074 Magh—
2075 Bhadra6
2075 Magh—
2076 Bhadra~3
2078 Chaitra—
2079 Chaitra—
2080 Chaitra—
2081 Chaitra—
2082 Shrawan—

Frequently Asked Topics

TopicTimes AskedFrequency
DEM 3
Slope 1
Aspect 1

Topic-wise Importance & Exam Tips

TopicImportanceKey Points / Exam Tips
DEM (Digital Elevation Model)HighDefine DEM, DTM vs DSM difference. Sources of DEM data. Applications in engineering and hydrology.
Slope calculation from DEMHighNumerical problems frequently asked. Know the 3×3 neighborhood method, formula: slope = arctan(√(dz/dx)² + (dz/dy)²). Practice grid calculations.
Aspect calculation from DEMHighOften combined with slope questions. Formula: aspect = arctan(dz/dy / dz/dx). Convert to compass direction (0°=N, 90°=E, 180°=S, 270°=W).
Hillshade and viewshed analysisMediumHillshade for 3D terrain visualization (sun altitude + azimuth). Viewshed for line-of-sight analysis from observation points.
DEM creation methodsMediumFrom contour interpolation, GPS points, photogrammetry, LiDAR, SRTM/ASTER satellite data.
Applications of surface modelingLowRoad alignment, dam site selection, cut-fill volume estimation, flood modeling.

1. DTM, Its Structures, and Applications (6 Marks)

PAST EXAM QUESTIONS ON THIS TOPIC:

  1. What is a DTM? List the various structure of DTM. Explain three applications of DTM [1+2+3] (2071 Magh, Q3b)
  2. What are the data sources of DEM? Describe about the applications of DEM [6] (2075 Bhadra, Q8)

A. What is a DTM?

A Digital Terrain Model (DTM) is a 3D digital representation of the bare-earth terrain surface. Unlike a Digital Surface Model (DSM) which includes buildings and tree canopies, a DTM mathematically filters out these above-ground features to represent only the natural ground elevation.

DSM vs DTM vs DEM: Cross-Section Comparison DSM – Includes buildings, trees DEM – Smoothed ground surface DTM – Bare earth only Building height Canopy height DSM = DTM + Objects DEM ≈ DTM (often used interchangeably)
Fig 8.1 – Cross-section comparing DSM (includes surface objects), DEM (smoothed ground), and DTM (bare earth terrain)

B. Structures of DTM:

DTMs can be structured in a GIS database in three primary ways:

1. Raster Grid 82 76 65 52 40 78 68 55 43 30 70 58 45 32 20 Equal-sized pixels Each cell = Z value 2. TIN Irregular triangles △ Vector-based surface 3. Contour Lines 100m 200m 300m 400m Isolines Equal elevation lines
Fig 8.2 – Three Structures of Digital Terrain Models: Raster Grid, TIN, and Contour Lines
  1. Raster Grid: A continuous matrix of equally sized square pixels, where each pixel stores a single elevation (Z) value.
  2. TIN (Triangulated Irregular Network): A vector-based model consisting of non-overlapping triangles formed by connecting scattered elevation points. It efficiently represents sharp ridges and valleys.
  3. Contour Lines (Isolines): Vector lines connecting points of equal elevation, traditionally used in topographic maps.

C. Three Applications of DTM:

  1. Hydrological Modeling: DTMs are the foundational data required to delineate watershed boundaries, calculate flow accumulation, and model runoff networks in software like the mesoscale Hydrologic Model (mHM).
  2. Transportation Engineering: Used extensively to extract topographic profiles for highway alignment and to calculate precise cut-and-fill earthwork volumes.
  3. Hazard Mapping: Used to identify extremely steep terrain profiles, which is critical for mapping landslide susceptibility or avalanche risks on high-altitude routes.
DTM Applications in Civil Engineering DTM Digital Terrain Model Hydrology Watershed delineation Flood modeling Transport Road cut/fill volumes Route optimization Hazard Mapping Landslide susceptibility Earthquake risk zones Volume Calc Reservoir capacity Earthwork estimation Viewshed / Visibility Tower & antenna placement
Fig 8.3 – Five key DTM applications in civil engineering: hydrology, transport, hazard mapping, volume calculation, and visibility analysis

2. Creation of DEMs and Data Sources (5 Marks)

PAST EXAM QUESTIONS ON THIS TOPIC:

  1. Explain how DEM is created in Raster GIS? [5] (2072 Ashwin, Q2c)
  2. What are the data sources of DEM? Describe about the applications of DEM [6] (2075 Bhadra, Q8)

A. Data Sources of DEM:

DEM Data Sources: Resolution & Method Comparison Source Resolution Method Coverage Accuracy Best For SRTM 30m / 90m Radar interferometry Global (60°N-56°S) ±16m vertical Regional studies ASTER GDEM 30m Stereo photogrammetry Global (83°N-83°S) ±17m vertical Mountain terrain LiDAR 0.5m – 2m Laser pulse returns Local (flight area) ±15cm vertical Engineering design Ground Survey Point-based Total station / GNSS Very local ±1-5cm Site-level detail Topo Maps ~20m contour Digitized contours National coverage Variable Legacy data / Nepal ← Lower cost / larger area ——— Higher accuracy / smaller area ->
Fig 8.4 – DEM Data Sources: comparison of resolution, accuracy, coverage, and best-use scenarios

B. How is a DEM created in Raster GIS?

A raster DEM is rarely captured perfectly as a grid in the field. It is created through Spatial Interpolation.

  1. First, scattered elevation data (like a GPS track from a Mardi Himal or Tsho Rolpa trek) is imported into the GIS as a point shapefile.
  2. An interpolation algorithm (such as Inverse Distance Weighted, Spline, or Kriging) is applied to these discrete points.
  3. The software calculates the estimated elevation for all the "empty" spaces between the surveyed points.
  4. The output is a continuous raster grid where every single pixel has an assigned elevation value, effectively creating a smooth digital surface.
  5. DEM Creation Workflow Step 1 Collect Data 1250m 980m 1400m 870m GPS / Survey / LiDAR Step 2 Import as Points Point Shapefile in GIS Step 3 Interpolation IDW / Kriging / Spline / TIN Estimate empty cells Step 4 Continuous DEM Every pixel = elevation
    Fig 8.5 – DEM Creation Workflow: from scattered field data to continuous raster surface via spatial interpolation

3. Slope and Aspect Functions (5 Marks)

PAST EXAM QUESTIONS ON THIS TOPIC:

  1. Explain about slope function with illustration. [Part of 5] (2076 Bhadra, Q7b) 2. (Also Covered under 7.2 in questions like 2071 Bhadra, Q6c, 2073 Bhadra, Q7d, 2078 Chaitra, Q7a, and 2079 Chaitra, Q7a.)

In the exam, when asked to explain these with illustrations, define the concept and draw a simple grid showing a central pixel surrounded by its 8 neighbors.

Slope Components (Lectures p.30)

A slope is formally described by a plane tangent to a point on the surface. It has two components:

  1. Gradient: The maximum rate of change of elevation of the plane (steepness). Expressed in degrees (0°–90°) or percent rise.
  2. Aspect: The compass direction of the maximum gradient (direction the slope faces), with respect to an arbitrary zero (usually North).

A. Slope Function:

DEM (Elevation) 110 105 95 108 100 80 100 85 50 ← Steepest 100→50 = −50m → Slope fn Slope Output (°) 8° 12° 18° 10° 22° 35° 6° 20° 40° Scale Flat (0–10°) Moderate Steep (30°+) V. Steep (40°+) Steepness computed from 3×3 neighbourhood elevation differences
Fig 8.7 – Slope Function: 3×3 DEM grid and its resulting Slope raster (steepest drop highlighted)

B. Aspect Function:

South-facing Aspect = 180° North-facing Aspect = 0°/360° N 0° E 90° S 180° W Peak South-facing slopes receive maximum solar radiation in Nepal (Important for agriculture, solar panels, snow melt modeling)
Fig 8.9 – Aspect Function: Compass direction of the downslope face (South-facing receives most sunlight)
Slope & Aspect: Civil Engineering Applications Slope Applications - Road gradient design - Landslide susceptibility - Soil erosion prediction - Construction suitability - Dam site selection Key: Steepness -> Risk level >30° = Very steep = high risk <5° = Flat = suitable for building Aspect Applications - Solar panel orientation - Agriculture crop planning - Snow melt prediction - Building energy efficiency - Vegetation analysis Key: Direction -> Sun exposure South-facing = Max solar in Nepal North-facing = Cold, shaded Combined (Slope+Aspect) - Hillshade visualization - Terrain classification - Wildfire spread modeling - Ski resort planning - Habitat suitability Hillshade requires both: slope (steepness) + aspect (direction) + sun angle
Fig 8.10 – Practical applications of Slope, Aspect, and their combined use in civil engineering and environmental analysis

Interactive Slope & Aspect Calculator

Enter elevation values into the 3×3 grid below and set the cell size. The calculator will compute the slope (in degrees and percent) and aspect (compass direction) using Horn’s method — the same algorithm used by ArcGIS and QGIS.

⛰️ Enter 3×3 Neighbourhood Elevations

Col 1
Col 2
Col 3
R1
R2
R3

Curvature Functions (Lectures pp.30–31)

Curvature describes the rate of change of slope, providing information about the shape of the terrain surface.

Profile Curvature (rate of change of gradient along the slope direction):

  • Convex: Gradient increases downslope (e.g., top of a ridge — water flows faster)
  • Concave: Gradient decreases downslope (e.g., valley bottom — water slows and accumulates)
  • Planar: Constant gradient (uniform slope)

Plan Curvature (rate of change of aspect perpendicular to slope):

  • Convex: Aspect lines diverge downslope (e.g., nose of a ridge — water spreads)
  • Concave: Aspect lines converge downslope (e.g., valley — water concentrates)
  • Planar: Constant aspect (parallel flow)

Profile curvature affects flow acceleration/deceleration; plan curvature affects flow convergence/divergence. Together they determine erosion/deposition patterns.

Chapter Summary

This chapter covers surface modeling in GIS, focusing on Digital Elevation Models (DEMs) and derived products. A DEM is a raster representation of terrain elevation, created from contour maps, GPS surveys, photogrammetry, LiDAR, or satellite imagery. Two main types exist: Digital Terrain Model (DTM, bare earth) and Digital Surface Model (DSM, includes buildings/trees). Slope analysis calculates the steepness of terrain at each cell (in degrees or percent), critical for construction feasibility, erosion modeling, and agricultural suitability. Aspect determines the compass direction a slope faces (N, NE, E, etc.), important for solar radiation analysis, snow melt modeling, and vegetation studies. Other raster surface functions include hillshade (3D visualization), viewshed analysis (visibility from a point), contour generation from DEM, and curvature analysis. These tools are fundamental for engineering design, environmental impact assessment, hydrological modeling, and terrain visualization.