Motion sensors are not typically used for environmental monitoring, as they are designed to detect movement rather than environmental conditions.

Data acquisition is the process of collecting data from sensors and other devices.

Cloud-based data acquisition systems are not a common type of data acquisition system, as they require a reliable internet connection and can be expensive to implement.

Data analysis is the process of converting raw data into meaningful information.

Machine learning is not a common type of data analysis technique for environmental monitoring, as it requires a large amount of data and can be difficult to implement.

Data visualization is the process of presenting data in a visual format.

Scatter plots are not a common type of data visualization technique for environmental monitoring, as they can be difficult to interpret and are not suitable for large datasets.

Data storage is the process of storing data from sensors and other devices.

Data lakes are not a common type of data storage system for environmental monitoring, as they are designed for storing large amounts of unstructured data and can be difficult to manage.

Data transmission is the process of transmitting data from sensors and other devices to a central location.

Satellite connections are not a common type of data transmission technology for environmental monitoring, as they can be expensive to implement and are not always reliable.

System administration is the process of managing and maintaining environmental monitoring systems.

Updating system security patches is not a common task performed by system administrators for environmental monitoring systems, as it is typically handled by IT professionals.

Data quality assurance is the process of ensuring the accuracy and reliability of environmental monitoring data.

Data backup is not a common method for ensuring data quality, as it does not address the accuracy or reliability of the data.