Remote Sensing in Precision Agriculture
Synthetic Aperture Radar Remote Sensing
Microwaves and synthetic aperture radar (SAR) are both forms of electromagnetic radiation used in remote sensing, but SAR specifically utilizes microwaves to create high-resolution images of the Earth's surface, even in adverse weather conditions and darkness. SAR achieves this by using a series of microwave pulses and processing the reflected signals to create an image. It is used to create high-resolution two or three-dimensional representations of objects, such as crops. Imagery can be captured day and night and in almost any weather condition without the usual visibility limitations of optical data and is well suited to monitoring extensive areas even under cloudy conditions.
Applications of SAR in Precision Agriculture
SAR remote sensing is used in agriculture primarily for monitoring crop growth, identifying crop types, estimating crop biomass, and measuring soil moisture, all while being largely unaffected by weather conditions, making it a valuable tool for precision agriculture practices like irrigation management and yield prediction; key applications include crop mapping, crop phenology tracking, and estimating biophysical parameters like crop height and soil moisture content. SAR can detect changes in soil moisture content by analyzing the backscatter signals, which vary with moisture levels. This information is vital for irrigation planning and drought management.
Limitations of SAR in Precision Agriculture
SAR images also have limitations. One limitation is the inability to capture color information since SAR operates in the microwave region of the electromagnetic spectrum. Due to its unique appearance and characteristics, the processing and interpretation of SAR imagery can be challenging. The images include noise called speckle and complex interactions with surface features.
Click on the following topics for more information on remote rensing in precision agriculture.
Topics Within This Chapter:
- Introduction to Greenhouse Environmental Monitoring and Control
- Advantages and Limitations of Remote Sensing
- Fundamentals of Remote Sensing
- Image Resolution In Remote Sensing
- Remote Sensors
- Point Cloud
- Remote Sensing Platforms
- Remote Image Processing and Data Analysis
- Remote Sensing Applications in Precision Agriculture

