研究目的
Investigating the methodology for irrigation mapping using Sentinel-1 SAR data to distinguish between irrigated and non-irrigated fields.
研究成果
The methodology demonstrates the potential of Sentinel-1 data for irrigation mapping at field scales, with an accuracy of 77%. It is unrestricted by weather conditions and can be used in any area where SAR data is available.
研究不足
The methodology's accuracy is 77%, which may not be sufficient for all applications. The study is limited to a specific area and may not be directly applicable to other regions without adjustment.
1：Experimental Design and Method Selection:
The study uses Sentinel-1 SAR data for irrigation mapping, analyzing parameters derived from backscatter time series.
2：Sample Selection and Data Sources:
The study area is a 20km by 20km agricultural site in Urgell, Catalunya, Spain. Data from Sentinel-1 and Sentinel-2 missions are used.
3：List of Experimental Equipment and Materials:
Sentinel-1 SAR data, Sentinel-2 optical data, ENVI software for supervised classification.
4：Experimental Procedures and Operational Workflow:
Preprocessing of Sentinel-1 data, segmentation of fields using Sentinel-2 data, analysis of backscatter time series parameters, classification of fields.
5：Data Analysis Methods:
Analysis of mean value, signal variance, correlation length, and fractal dimension from backscatter time series.
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