A system for detecting precipitation is disclosed. In an embodiment, the system includes a capacitive sensor configured to detect a presence of precipitation, a piezo sensor configured to be powered on in response to detection of the presence of the precipitation by the capacitive sensor, and a processor configured to detect a characteristic of the precipitation based at least in part on an output of the piezo sensor. In an embodiment, a method includes receiving a signal from a piezo sensor, sampling the signal at a sampling rate, determining a frequency domain representation of the sampled signal, determining that a magnitude of a resonant frequency associated with the sampled signal meets a threshold, and determining a valid precipitation event based at least in part on the determination that the magnitude of the resonant frequency meets the threshold.

A system for detecting precipitation is disclosed. In an embodiment, the system includes a capacitive sensor configured to detect a presence of precipitation, a piezo sensor configured to be powered on in response to detection of the presence of the precipitation by the capacitive sensor, and a processor configured to detect a characteristic of the precipitation based at least in part on an output of the piezo sensor. In an embodiment, a method includes receiving a signal from a piezo sensor, sampling the signal at a sampling rate, determining a frequency domain representation of the sampled signal, determining that a magnitude of a resonant frequency associated with the sampled signal meets a threshold, and determining a valid precipitation event based at least in part on the determination that the magnitude of the resonant frequency meets the threshold.

The present invention essentially comprises a system, method, computer program and combinations thereof to utilize dual-polarization generated data generally associated with weather and non-weather events for mapping data, producing geo-referenced data, producing mosaics, generation of precipitation masks, non-precipitation mask, and classification masks in general, production of vertical cross sections and predetermined fly throughs, producing short term forecasting, prediction of specific weather phenomenon, correcting or adjusting rain gauge data as well as quantitative precipitation estimation, and combining other meteorological data to correct or adjust estimated rainfall accumulation gathered by dual-polarization radar.

The present invention essentially comprises a system, method, computer program and combinations thereof to utilize dual-polarization generated data generally associated with weather and non-weather events for mapping data, producing geo-referenced data, producing mosaics, generation of precipitation masks, non-precipitation mask, and classification masks in general, production of vertical cross sections and predetermined fly throughs, producing short term forecasting, prediction of specific weather phenomenon, correcting or adjusting rain gauge data as well as quantitative precipitation estimation, and combining other meteorological data to correct or adjust estimated rainfall accumulation gathered by dual-polarization radar.

A system for monitoring flooding can include a plurality of flood monitoring stations and at least one flood warning station in communication with each flood monitoring station. Each flood monitoring station can include at least one sensor configured to detect water level and a visual warning device to alert users of actual or predicted flooding. Each flood monitoring station can include a processor to determine a water level using the sensor and control the visual warning device. Each flood monitoring station can include a processor and a wireless communications device to communicate the water level to the flood warning station.

A system for monitoring flooding can include a plurality of flood monitoring stations and at least one flood warning station in communication with each flood monitoring station. Each flood monitoring station can include at least one sensor configured to detect water level and a visual warning device to alert users of actual or predicted flooding. Each flood monitoring station can include a processor to determine a water level using the sensor and control the visual warning device. Each flood monitoring station can include a processor and a wireless communications device to communicate the water level to the flood warning station.

A method for estimating adjusted rainfall values for a set of geo-locations using agricultural data comprises using a server computer system that receives, via a network, agricultural data records that are used to estimate rainfall values for the set of geo-locations. Within the server computer system, rainfall calculation instructions receive digital data including observed radar and rain-gauge agricultural data records. The computer system then aggregates the agricultural data records and creates and stores the agricultural data sets. The agricultural data records are then transformed into one or more distribution sets. The distribution sets are then used to determine regression parameters for a digital rainfall regression model. The digital rainfall regression model then is used to estimate adjusted rainfall values for a new set of geo-locations. The server computer system then generates a digital image that includes the geo-locations and the adjusted rainfall values.

This invention concerns remote sensor networks, and particularly energy management for wireless sensor networks. In a first aspect the invention is a wireless sensor node specified to operate for a given lifetime, including an onboard computer system and a set of one or more associated sensors. The computer system operates to periodically sample data from each sensor of the set of associated sensors, and to store a multi-state model representing one or more phenomena described by the collected data. And, the computer system operates to calculate a value associated with movement of the phenomena between the states of the multi-state model, and to adjust the rate of sampling of one or more of the set of associated sensors depending on the calculated value. In other aspects the invention is a network of sensor nodes and a method of operation.

Distributed systems and methods for the automatic monitoring and reporting of data relating to the chemistry and flow of stormwater (i.e. stormwater data) are presented. Multiple fluid sensor devices are exposed to stormwater via positioning the sensor devices in locations of interest. The sensor devices are arranged in self-healing mesh networks. The sensor devices are enabled to acquire stormwater data indicating various fluid properties that are desired to be monitored. A sensor device is further enabled to transmit its acquired stormwater data, either directly or indirectly, to one or more remote computing devices that is hosting a stormwater monitoring application (SMA). The SMA is enabled to process and analyze the stormwater data. The SMA generates measurements and reports based on the processed and analyzed stormwater data.