Remote sensing systems are designed to collect data about an object or area without being in direct contact with it. This is done by using sensors that can detect and measure various types of energy, such as visible light, infrared radiation, and radar waves.

Satellites are typically used for collecting data from high altitudes because they can orbit the Earth and cover large areas in a short amount of time. Aircraft, drones, and ground-based sensors are typically used for collecting data from lower altitudes.

Satellites can cover large areas in a short amount of time because they can orbit the Earth and collect data from multiple locations simultaneously.

Visible light imagery is commonly used for creating land use maps because it provides a clear view of the Earth's surface and can be easily interpreted by humans.

Infrared imagery is primarily used in remote sensing for measuring land surface temperature. This is because infrared radiation is emitted by all objects, and the amount of radiation emitted is proportional to the temperature of the object.

Thermal imagery is commonly used for monitoring forest fires because it can detect the heat emitted by fires, even at night or through smoke.

Radar imagery can penetrate clouds and vegetation because it uses microwaves, which are not affected by these obstacles. This makes radar imagery useful for applications such as mapping forests and monitoring crop growth.

LiDAR data is commonly used for creating topographic maps because it can provide accurate measurements of the Earth's surface elevation. LiDAR data is collected by sending laser pulses from an aircraft or satellite and measuring the time it takes for the pulses to return to the sensor.

Aircraft can be used to collect data from specific locations because they can be flown to the desired location and then flown in a pattern to collect data over the area of interest.

Multispectral imagery is commonly used for monitoring water quality because it can provide information about the concentration of various pollutants in water. Multispectral imagery is collected by sensors that can detect multiple wavelengths of light, including visible light, infrared light, and ultraviolet light.

Drones are relatively inexpensive to operate compared to other remote sensing platforms such as satellites and aircraft. This makes them a cost-effective option for collecting data for a variety of applications.

Hyperspectral imagery is commonly used for monitoring urban growth because it can provide detailed information about the composition of materials on the Earth's surface. This information can be used to identify different types of land cover, such as buildings, roads, and vegetation.

Ground-based sensors can be used to collect data from specific locations because they can be placed at the desired location and then used to collect data over a period of time.

Infrared imagery is commonly used for monitoring air quality because it can be used to detect the presence of pollutants in the air. Infrared imagery is collected by sensors that can detect infrared radiation, which is emitted by all objects, including pollutants.

Satellites can cover large areas in a short amount of time because they can orbit the Earth and collect data from multiple locations simultaneously. This makes them ideal for monitoring large-scale changes in the Earth's surface, such as deforestation and urbanization.