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Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring
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Following on from the Special Issue “Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring”, we concluded that SAR has now become a pivotal sensor for agricultural monitoring. In this Special Issue, you will find a variety of background material discussing SAR and its applications. Several papers focused on using machine learning approaches with SAR to monitor crop stages and classify crops, while others focused on the polarimetric mode to estimate crop height. Going forward, we hope that you will find this Special Issue to be a useful reference.
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Keywords
- Agriculture
- canopy development analysis
- common agricultural policy
- Corn
- crop characterization
- crop classification
- Crop development
- crop height
- crop identification
- crop monitoring
- crop parameters
- decomposition
- dual-pol
- field variability
- Google Earth Engine
- growth dynamics
- History of engineering & technology
- India
- Machine learning
- monsoon cropland
- multi-task machine learning
- multitemporal analysis
- multitemporal SAR
- object-oriented
- parcel-based classification
- phenology
- phenology retrieval
- Polarimetry
- PolSAR
- productivity indicators
- RADARSAT-2
- Remote sensing
- RFR
- rice detection
- rice growth-related features
- SAR
- Sentinel
- Sentinel-1
- Sentinel-1A
- Smallholders
- SVR
- synthetic aperture radar
- Synthetic Aperture Radar (SAR)
- Technology, engineering, agriculture
- Technology: general issues
- temporal composite
- time-series data
- tropical agricultural monitoring
- unsupervised classification
- wheat
Links
DOI: 10.3390/books978-3-0365-7359-5Editions