# How Curvature works

The Curvature tool calculates the second derivative value of the input surface on a cell-by-cell basis.

For each cell, a fourth-order polynomial of the form:

`` Z = Ax²y² + Bx²y + Cxy² + Dx² + Ey² + Fxy + Gx + Hy + I``
is fit to a surface composed of a 3 x 3 window. The coefficients a, b, c, and so on, are calculated from this surface.

The relationships between the coefficients and the nine values of elevation for every cell numbered as shown on the diagram are as follows:

``````A = [(Z1 + Z3 + Z7 + Z9) / 4  - (Z2 + Z4 + Z6 + Z8) / 2 + Z5] / L4
B = [(Z1 + Z3 - Z7 - Z9) /4 - (Z2 - Z8) /2] / L3
C = [(-Z1 + Z3 - Z7 + Z9) /4 + (Z4 - Z6)] /2] / L3
D = [(Z4 + Z6) /2 - Z5] / L2
E = [(Z2 + Z8) /2 - Z5] / L2
F = (-Z1 + Z3 + Z7 - Z9) / 4L2
G = (-Z4 + Z6) / 2L
H = (Z2 - Z8) / 2L
I = Z5``````

The output of the Curvature tool is the second derivative of the surface—for example, the slope of the slope—such that:

``Curvature = -2(D + E) * 100``

From an applied viewpoint, the output of the tool can be used to describe the physical characteristics of a drainage basin in an effort to understand erosion and runoff processes. The slope affects the overall rate of movement downslope. Aspect defines the direction of flow. The profile curvature affects the acceleration and deceleration of flow and, therefore, influences erosion and deposition. The planform curvature influences convergence and divergence of flow.

## Interpreting results from Curvature

Displaying contours over a raster may help with understanding and interpreting the data resulting from the execution of the tool. An example of the process follows, with the tools identified and the settings used.

1. Create a curvature raster from the surface raster with the Curvature tool:

Input raster : elev_ras

Output curvature raster : curv_ras

Z factor : 1

Output profile curve raster : profile_ras

Output plan curve raster : plan_ras

2. Create contours of the surface raster with the Contour tool:

Input raster : elev_ras

Output polyline features : cont_lines

Contour interval : 100

Base contour : ""

Z factor : 1

3. Create a slope raster from the surface raster with the Slope tool:

Input raster : elev_ras

Output raster : slope_ras

Output measurement : DEGREE

Z factor : 1

4. Then create contours of the slope raster with the Contour tool:

Input raster : slope_ras

Output polyline features : cont_slope

Contour interval : 5

Base contour : ""

Z factor : 1

5. Add the curvature raster as a layer to the map display. Overlay the two contour feature datasets just created and apply different color symbology for each.

## Should I use the Surface Parameters tool?

If the Input raster parameter value (in_raster in Python) is high resolution with a cell size of less than a few meters, or particularly noisy, consider using the Surface Parameters tool and its user-defined neighborhood distance option instead of the immediate 3 x 3 neighborhood of this tool. Using a larger neighborhood can minimize the effect of noisy surfaces. Using a larger neighborhood can also better represent landforms and surface characteristics when using high resolution surfaces.

## References

Moore, I. D., R. B. Grayson, and A. R. Landson. 1991. Digital Terrain Modelling: A Review of Hydrological, Geomorphological, and Biological Applications. Hydrological Processes 5: 3–30.

Zeverbergen, L. W., and C. R. Thorne. 1987. Quantitative Analysis of Land Surface Topography. Earth Surface Processes and Landforms 12: 47–56.