A Method of Flood Submerging Area Extraction for Farmland Based on Tasseled Cap Transformation from Remote Sensing Images
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摘要: 针对灾后水中悬浮物质增多和高含水量农作物导致常规水体信息提取方法精度较低的问题，提出了一种基于缨帽变换的农田洪水淹没范围遥感信息提取方法。首先，对灾前、灾后遥感图像进行辐射定标和大气校正。其次，通过缨帽变换获取绿度分量和湿度分量；然后，利用最大类间方差法对湿度分量进行分割，结合绿度分量提取水体信息；最后，叠加农田矢量数据，确定农田洪水淹没范围。以湖南省岳阳市及其附近区域为研究区，从定性和定量两个方面对方法进行精度评价。结果表明，该方法所得结果边界清晰，范围准确，生产者精度和用户精度分别为0.97和0.90。该研究能够为农田灾损评估、洪涝灾害动态监测提供参考。Abstract: After the disaster, the increase of suspended matter in water and the high water content crops will lead to the low accuracy of conventional methods of water body information extraction. In response to this problem, a new method of extracting flood submerging area for farmland based on tasseled cap transformation is presented in this paper. First, the remote sensing images before and after disaster are pre-processed by radiometric calibration and atmospheric correction. Then, the tasseled cap transformation is performed based on the coefficients corresponding to the sensor to obtain the greenness component and the wetness component. Third, the wetness component is divided by the OTSU method, and combined with the greenness component to obtain the warterbody information. Finally, the spatial overlay analysis of the waterbody information and farmland vector data is carried out to extract the flood submerging area for farmland. Taking Yueyang City of Hunan Province and its vicinity as research area, the accuracy of the proposed method is evaluated both qualitatively and quantitatively to verify the validity and applicability of the method. The results shows that the boundary of flood submerging area for farmland is clear, the range is more accurate, and the producer's accuracy and the user's accuracy are 0.97 and 0.90, respectively. This paper provides references for agricultural risk evaluation and dynamic monitoring of flood disaster.
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Keywords:
- tasseled cap transformation /
- flooding /
- submerging area /
- farmland /
- accuracy evaluation
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图 2 Landsat 8 OLI卫星遥感图(标准假彩色合成)
Figure 2. Pseudo-colour Composite Image by Landsat 8 OLI in Study Area
表 1 定量评价结果
Table 1 Quantitative Evaluation for Result Images
方法 评价指标 PA UA OE CE 本文方法 0.97 0.90 0.03 0.10 NDVI 0.84 0.66 0.16 0.34 NDWI 0.73 0.70 0.27 0.30 MNDWI 0.88 0.66 0.12 0.34 
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