Abstract: A sewer cleanout cap includes a body portion, a window plug removably coupled to the body portion, and a radio-frequency identification (RFID) tag. The sewer cleanout cap is on a sewer drain cleanout. The window plug is configured to enable a user to check sewer drainage. The RFID tag is disposed on the body portion of the sewer cleanout cap and is configured to transmit a return signal when energized.

Abstract: An aerial vehicle system for mapping an object buried in a subterranean surface, the aerial vehicle system including an aerial vehicle, an electronic sensor, a processor, and a memory. The memory includes instructions, which when executed by the processor, cause the system to receive a first input data set by the electronic sensor, the first input data set based on an electromagnetic signal and geographic location data, generate a raw image based on the first input data set, and compare the raw image to a calibration data set, the calibration data set based on material calibration data. The material calibration data is based on unique spectral reflection patterns of an object in a controlled environment at predefined heights and subterranean conditions.

Abstract: An aerial vehicle system for mapping an object buried in a subterranean surface, the aerial vehicle system including an aerial vehicle, an electronic sensor, a processor, and a memory. The memory includes instructions, which when executed by the processor, cause the system to receive a first input data set by the electronic sensor, the first input data set based on an electromagnetic signal and geographic location data, generate a raw image based on the first input data set, and compare the raw image to a calibration data set, the calibration data set based on material calibration data. The material calibration data is based on unique spectral reflection patterns of an object in a controlled environment at predefined heights and subterranean conditions.

Abstract: A method for mapping an object buried in a subterranean surface includes receiving a first input data set. The first input data set is based on a GNSS signal, a SAR signal, and a GPR signal. The method further includes generating a raw image based on the first input data set, comparing the raw image to a calibration data set, identifying an object based on the raw image compared to the calibration data set, transmitting object data to a ground-based post-processing unit, and displaying the object data to a graphic user interface. The calibration data set may be based on material calibration data. The object data may be based on the object identified.

Abstract: A method for mapping an object buried in a subterranean surface includes receiving a first input data set. The first input data set is based on a GNSS signal, a SAR signal, and a GPR signal. The method further includes generating a raw image based on the first input data set, comparing the raw image to a calibration data set, identifying an object based on the raw image compared to the calibration data set, transmitting object data to a ground-based post-processing unit, and displaying the object data to a graphic user interface. The calibration data set may be based on material calibration data. The object data may be based on the object identified.