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RSS FeedsRemote Sensing, Vol. 14, Pages 4955: Monitoring of Wheat Height Based on Multi-GNSS Reflected Signals (Remote Sensing)

 
 

4 october 2022 16:26:38

 
Remote Sensing, Vol. 14, Pages 4955: Monitoring of Wheat Height Based on Multi-GNSS Reflected Signals (Remote Sensing)
 


Global Navigation Satellite System interferometric reflectometry (GNSS-IR), a new and inexpensive technique, has become available to the broader scientific community for detecting surface environmental information, such as soil moisture, snow depth and vegetation growth. However, there have been limited experiments focusing on the potential of crop height retrieval, especially the performance evaluation of BeiDou Navigation Satellite System (BDS) with other GNSS. Accuracy and reliability are challenging to achieve with traditional methods utilizing a single GNSS, and few measured verification data. In this study, an improved method that includes segmentation processing and multi-GNSS fusion is proposed based on GPS/GLONASS/Galileo/BDS multi-frequency data. Furthermore, experiments were carried out on a farmland in Fengqiu County, Henan Province, China. The results show that the height retrievals from four GNSS were in good agreement with the in situ observations during the whole growth cycle of the wheat after overwintering. Meanwhile, the retrievals based on the proposed method exhibited greater correspondence than the single frequency results, the correlation coefficient was increased and the root-mean-square error (RMSE) was reduced, respectively. Therefore, this study illustrates the feasibility of the proposed method to precisely estimate wheat height and its potential for use in the early warning of wheat lodging based on GNSS-IR.


 
83 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 14, Pages 4954: Technical Challenges for Multi-Temporal and Multi-Sensor Image Processing Surveyed by UAV for Mapping and Monitoring in Precision Agriculture (Remote Sensing)
Remote Sensing, Vol. 14, Pages 4956: Deep Learning for InSAR Phase Filtering: An Optimized Framework for Phase Unwrapping (Remote Sensing)
 
 
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