Step 1: Set up the area function and the base values.
Let $A(a,b,h) = \left(\dfrac{a+b}{2}\right)h$ with $a = 10.335\ m$ (south), $b = 13.971\ m$ (north) and $h = 5.047\ m$ (west), since north and south are parallel and west is the perpendicular height between them. Base area $A_0 = \left(\dfrac{10.335+13.971}{2}\right)(5.047) = (12.153)(5.047) = 61.336\ m^2$.
Step 2: Perturb each variable by the measurement precision and estimate its individual effect on area.
With a precision of $\delta = 1\ mm = 0.001\ m$ on each side, perturbing $a$ alone changes area by $\Delta A_a = \dfrac{h}{2}\delta = \dfrac{5.047}{2}(0.001) = 0.0025235\ m^2$. By symmetry perturbing $b$ alone gives the same $\Delta A_b = 0.0025235\ m^2$. Perturbing $h$ alone gives $\Delta A_h = \left(\dfrac{a+b}{2}\right)\delta = (12.153)(0.001) = 0.012153\ m^2$.
Step 3: Combine the three independent contributions in quadrature.
Since $a$, $b$ and $h$ are independently measured, the random errors combine as a root-sum-square, not a simple sum: \[ \sigma_A = \sqrt{(\Delta A_a)^2+(\Delta A_b)^2+(\Delta A_h)^2} \]
Step 4: Substitute the numbers.
\[ \sigma_A = \sqrt{(0.0025235)^2+(0.0025235)^2+(0.012153)^2} \] \[ \sigma_A = \sqrt{6.368\times10^{-6}+6.368\times10^{-6}+147.695\times10^{-6}} = \sqrt{160.431\times10^{-6}} = 0.01267\ m^2 \]
Step 5: Round off and confirm.
Rounded to two decimal places, $\sigma_A \approx 0.01\ m^2$, confirming the analytical result and lying within the accepted range $0.00$ to $0.02\ m^2$.
\[ \boxed{\sigma_A \approx 0.01\ m^2} \]