Generating Real-Time Sensor Maps From Videos And In-Ground Sensor Data

A method comprising:

• receiving a plurality of images representing an aerial view of an area;
• receiving sensor data generated from a plurality of sensor readings that represent measured levels of a parameter in a plurality of first portions of the area;
• generating an orthomosaic from the plurality of images;
• generating a prediction model using the orthomosaic and the sensor data;
• extrapolating the sensor data using the prediction model to produce extrapolated data that represent predicted levels of the parameter among a plurality of second portions of the area;
• and
• using the sensor data and the extrapolated data to indicate levels of the parameter in the first and second portions of the area.

A non-transitory computer-readable storage medium having stored thereon computer executable instructions, which when executed by a computer device, cause the computer device to:

• receive a plurality of images representing an aerial view of an area;
• receive sensor data generated from a plurality of sensor readings that represent measured levels of a parameter in a plurality of first portions of the area;
• generate an orthomosaic from the plurality of images;
• generate a prediction model using the orthomosaic and the sensor data;
• extrapolate the sensor data using the prediction model to produce extrapolated data that represent predicted levels of the parameter among a plurality of second portions of the area;
• and
• use the sensor data and the extrapolated data to indicate levels of the parameter in the first and second portions of the area.

An apparatus comprising:

• one or more computer processors;
• and
• a computer-readable storage medium comprising instructions for controlling the one or more computer processors to be operable to:
• receive a plurality of images representing an aerial view of an area;
• receive sensor data generated from a plurality of sensor readings that represent measured levels of a parameter in a plurality of first portions of the area;
• generate an orthomosaic from the plurality of images;
• generate a prediction model using the orthomosaic and the sensor data;
• extrapolate the sensor data using the prediction model to produce extrapolated data that represent predicted levels of the parameter among a plurality of second portions of the area;
• and
• use the sensor data and the extrapolated data to indicate levels of the parameter in the first and second portions of the area.