An apparatus, the apparatus comprising: one or more processors (126, 506) and, memory (132, 510) in communication with the one or more processors, the memory comprising code that, when executed, causes the one or more processors to control the apparatus to: receive video data representing an aerial view of an area; receive sensor data the sensor data generated from a plurality of sensor readings, each indicating a level of a parameter in one of a plurality of first portions of the area, wherein the sensor readings are made from sensors that are each deployed in one of the first portions of the area; generate an orthomosaic from the video data; generate a prediction model using the orthomosaic and the sensor data; extrapolate the sensor data to determine a level of the parameter in each of a plurality of second portions of the area using the prediction model, wherein the plurality of the second portions of the area are different from the plurality of first portions of the area; and, generate a map of the area, the map including data to indicate the level of the parameter in each of the first portion of the area and the determined level of the parameter in each of the second portions of the area. one or more processors (126, 506) and, memory (132, 510) in communication with the one or more processors, the memory comprising code that, when executed, causes the one or more processors to control the apparatus to: receive video data representing an aerial view of an area; receive sensor data the sensor data generated from a plurality of sensor readings, each indicating a level of a parameter in one of a plurality of first portions of the area, wherein the sensor readings are made from sensors that are each deployed in one of the first portions of the area; generate an orthomosaic from the video data; generate a prediction model using the orthomosaic and the sensor data; extrapolate the sensor data to determine a level of the parameter in each of a plurality of second portions of the area using the prediction model, wherein the plurality of the second portions of the area are different from the plurality of first portions of the area; and, generate a map of the area, the map including data to indicate the level of the parameter in each of the first portion of the area and the determined level of the parameter in each of the second portions of the area. receive video data representing an aerial view of an area; receive sensor data the sensor data generated from a plurality of sensor readings, each indicating a level of a parameter in one of a plurality of first portions of the area, wherein the sensor readings are made from sensors that are each deployed in one of the first portions of the area; generate an orthomosaic from the video data; generate a prediction model using the orthomosaic and the sensor data; extrapolate the sensor data to determine a level of the parameter in each of a plurality of second portions of the area using the prediction model, wherein the plurality of the second portions of the area are different from the plurality of first portions of the area; and, generate a map of the area, the map including data to indicate the level of the parameter in each of the first portion of the area and the determined level of the parameter in each of the second portions of the area.