Types of Remote Sensing: Passive vs. Active

Types of Remote Sensing: Passive vs. Active

Remote sensing is a critical technology used in various fields, including agriculture, to gather data from a distance. Understanding the types of remote sensing—passive and active—is essential for effectively applying these technologies in agricultural practices.

What is Remote Sensing?

Remote sensing involves collecting information about an object or area from a distance, typically using satellites or aircraft. The data collected can help in monitoring crop health, soil moisture, land use changes, and more.

Passive Remote Sensing

Passive remote sensing relies on natural sources of energy, primarily sunlight. Sensors collect reflected or emitted radiation from the Earth’s surface. Here are some key features:

- Source of Energy: Sunlight is the primary energy source. - Data Collection: Sensors measure the intensity of reflected light across different wavelengths. - Common Instruments: Satellite imagery (e.g., Landsat, MODIS), aerial photography.

Example of Passive Remote Sensing in Agriculture

When monitoring crop health, a satellite equipped with a multispectral sensor can capture images of a field. The Normalized Difference Vegetation Index (NDVI) can then be calculated to assess plant health by analyzing the difference between near-infrared and red light reflected by the crops. Healthy vegetation reflects more near-infrared light compared to stressed crops.

Active Remote Sensing

Active remote sensing, on the other hand, involves the emission of energy from the sensor itself. This technology sends out signals (e.g., radar, lidar) and measures the energy that is reflected back. Here are some key features:

- Source of Energy: The sensor generates its own energy, typically in the form of laser or microwave signals. - Data Collection: Sensors measure the time it takes for the emitted signal to return, which helps in determining the distance and characteristics of the object. - Common Instruments: Synthetic Aperture Radar (SAR), Light Detection and Ranging (LiDAR).

Example of Active Remote Sensing in Agriculture

For instance, LiDAR technology can be used to create a detailed 3D map of a field. By emitting laser pulses and measuring their return time, LiDAR can capture the structure of the crops, assess plant height, and even identify variations in crop density, which can inform management decisions.

Comparison of Passive and Active Remote Sensing

| Feature | Passive Remote Sensing | Active Remote Sensing | |----------------------|--------------------------------------|--------------------------------------| | Energy Source | Natural (sunlight) | Artificial (sensor-generated) | | Data Collection | Reflective radiation | Reflected signals (backscatter) | | Temporal Resolution | Dependent on sunlight availability | Can operate day or night | | Applications | Land cover mapping, vegetation index | Terrain mapping, biomass estimation |

Conclusion

Understanding the difference between passive and active remote sensing is crucial for selecting the appropriate technology for agricultural applications. While passive remote sensing is excellent for capturing surface characteristics under natural light, active remote sensing provides valuable data independent of sunlight and can offer detailed insights into complex agricultural environments.

References

- Jensen, J. R. (2015). Remote Sensing of the Environment: An Earth Resource Perspective. Pearson. - Turner, W., et al. (2015). Free and open-access satellite data are key to biodiversity conservation. Nature Ecology & Evolution, 1, 0163.

Back to Course View Full Topic