Abstract: A method for assessing environmental data is described. The method includes receiving sensor data associated with each of a plurality of time intervals from at least one sensor on at least one mobile sensor platform. The sensor data is associated with position data corresponding to each of the plurality of time intervals. The position data corresponds to a plurality of positions having a characteristic distance not exceeding one hundred meters. The sensor data includes a plurality of measurements for each of the plurality of positions. The method includes determining, based on the sensor data and the position data, anomalous data including least one of a geographic anomaly or a temporal anomaly.

Abstract: A method for routing, through a geographic region over a time interval, a sensor platform mounted on a vehicle is described. The method includes receiving a precision level for at least one constituent of an environment measured by a sensor of the sensor platform. The precision level corresponds to a mean concentration of the constituent(s) over the time interval. A reference dataset corresponding to the geographic region and the time interval is selected. From the reference dataset and the precision level, at least one minimum number of distinct samples for a plurality of geographic segments of the geographic region is determined. The method also includes determining a number of passes for the geographic region over the time interval using the minimum number of distinct samples for each of the plurality of geographic segments. Each pass of the number of passes is part of a route for the vehicle.

Abstract: A method for assessing environmental data is described. The method includes receiving sensor data associated with each of a plurality of time intervals from at least one sensor on at least one mobile sensor platform. The sensor data is associated with position data corresponding to each of the plurality of time intervals. The position data corresponds to a plurality of positions having a characteristic distance not exceeding one hundred meters. The sensor data includes a plurality of measurements for each of the plurality of positions. The method includes determining, based on the sensor data and the position data, anomalous data including least one of a geographic anomaly or a temporal anomaly.

Abstract: A method for routing, through a geographic region over a time interval, a sensor platform mounted on a vehicle is described. The method includes receiving a precision level for at least one constituent of an environment measured by a sensor of the sensor platform. The precision level corresponds to a mean concentration of the constituent(s) over the time interval. A reference dataset corresponding to the geographic region and the time interval is selected. From the reference dataset and the precision level, at least one minimum number of distinct samples for a plurality of geographic segments of the geographic region is determined. The method also includes determining a number of passes for the geographic region over the time interval using the minimum number of distinct samples for each of the plurality of geographic segments. Each pass of the number of passes is part of a route for the vehicle.