Step 1: Understanding spatial resolution.
Spatial resolution in remote sensing refers to the smallest object that can be detected by the sensor in the imagery. It is determined by several factors related to the sensor and the satellite's operational characteristics.
Step 2: Analyzing the factors affecting spatial resolution.
- Option (A): Sensor pixel size: The pixel size of the sensor determines the level of detail captured in the imagery. Smaller pixels capture finer details, resulting in higher spatial resolution. This is a significant factor in determining the resolution of remote sensing imagery.
- Option (B): Altitude of the satellite: The altitude at which the satellite orbits affects the spatial resolution. A satellite at a lower altitude can capture finer details because it is closer to the Earth's surface, thus improving the spatial resolution.
- Option (C): Wavelength of the captured electromagnetic radiation: The wavelength of the electromagnetic radiation captured by the sensor also affects spatial resolution. Shorter wavelengths (like visible light) provide finer resolution compared to longer wavelengths (like microwave).
- Option (D): Satellite communication bandwidth: Satellite communication bandwidth refers to the capacity of the satellite to transmit data, which affects data throughput, but does not directly impact the intrinsic spatial resolution of the imagery.
Step 3: Conclusion.
The correct factors that affect the intrinsic spatial resolution of remote sensing imagery are sensor pixel size, altitude of the satellite, and wavelength of the captured electromagnetic radiation. Therefore, the correct answer is (A), (B), (C).
\[
\boxed{\text{(A), (B), (C)}}
\]