Probably a similar, related question can also be asked in Ham SE I'll give a partial answer here.
I'm pretty sure that a board designed to use for signals coming from satellites in geostationary orbit would not have any built-in Doppler compensation because the relative velocities will be tiny, perhaps a millimeter per second for the most wobbly orbits.
That kind of frequency shift will be well tolerated and compensated by the demodulation procedure itself.
The effect is way, way bigger for satellites in LEO, as they approach the horizon the relative velocity will be about 7200 kilometers per second!
Most amateur satellite listeners will either use a program that uses TLEs to generate a trajectory then pre-calculates the Doppler shift and shifts the tuning of their radio, or these days they just use a software-defined radio to capture and record a wide enough range in frequencies at the same time and a separate program to track the trajectory of the signal in frequency space for demodulation. Some examples can be found in
Here's the doppler shift as a function of time, roughly +/- 20 parts per million over a few minutes. At say 5 GHz that's ± 100 kHz.
It is possible that the demodulation system of that board can easily accommodate a 200 kHz bandpass but that's only the beginning of the problems you'll need to address to know if you can get a non television signal out of what seems to be a satellite television receiver.

import numpy as np
import matplotlib.pyplot as plt
R_earth = 6378 * 1000 # (m) Earth equatorial radius
altitude = 400 * 1000 # (m)
a = (R_earth + altitude) # (m) semimajor axis of a "400 x 400 km" circular orbit
GM = 3.986004418E+14 # (m^3/s^2) https://en.wikipedia.org/wiki/Standard_gravitational_parameter
c_light = 2.9979E+08 # (m/s) speed of light in vacuum
v_orbital = np.sqrt(GM / a)
T = 2 * np.pi * a / v_orbital # (s) orbital period
dt = 1.0 # (s) time step
time = np.arange(-300, 300, dt) # +/- 5 minutes from a pass overhead
minutes = time / 60.
dt_minutes = dt / 60.
x, y = [a * f(2 * np.pi * time / T) for f in (np.sin, np.cos)]
x0, y0 = np.array([0, R_earth]) # location of ground station
r = np.sqrt((x - x0)2 + (y - y0)2)
elevation = 90 - np.abs(np.degrees(np.arctan2(y - y0, x - x0)) - 90)
dr_dt = (r[1:] - r[:-1]) / dt
shift = dr_dt / c_light # Δf/f first-order doppler shift in frequency
fig, (ax1, ax2, ax3) = plt.subplots(3, 1)
ax1.plot(minutes, r/1000.)
ax1.set_ylabel('distance (km)')
ax2.plot(minutes, elevation)
ax2.set_ylabel('elevation (°)')
ax2.set_ylim(0, 90)
ax3.plot(minutes[:-1] + 0.5dt_minutes, shift1E+06)
ax3.set_ylabel('Δf/f Doppler ppm')
ax3.set_xlabel('time (minutes)')
plt.suptitle('400 km circular LEO overhead pass')
plt.show()