| 崔丽霞,王蕾.基于遥感图像的土壤含水量信息提取研究[J].唐山学院学报,2017,30(6):21-24 |
| 基于遥感图像的土壤含水量信息提取研究 |
| A Study on Determination of Soil Moisture Content Based on Remote Sensing Images |
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| DOI：10.16160/j.cnki.tsxyxb.2017.06.005 |
| 中文关键词: 唐山地区 土壤含水量 神经网络 遥感图像 |
| 英文关键词: Tangshan soil moisture content neural network remote sensing image |
| 基金项目:河北省科技厅计划项目（15227014） |
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| 中文摘要: |
| 土壤含水量是监测农作物生长状况的关键参数，近年来国内外学者在利用高光谱遥感数据监测土壤含水量技术方面进行了大量的研究。文章在分析相关研究进展的基础上，以唐山地区为研究区域，重点选取乐亭县、滦南县为研究对象，将Landsat 8遥感数据所获取的植被指数和地表温度作为反演土壤含水量的两个基本参数，再结合实测的地表温度数据，利用BP神经网络建立模型，从而实现了对该研究区域内土壤含水量的提取。通过研究发现，利用该方法能够提取土壤含水量，提取结果准确性较高。 |
| 英文摘要: |
| Soil moisture content is a key parameter to monitor crop growth. In recent years,a great deal of research has been done on the monitoring of soil water content by using hyperspectral remote sensing data both at home and abroad. Based on previous research on the subject, and with Tangshan as the area to be studied, Leting County, Luannan County as the research subjects, and the vegetation index and surface temperature measured by Landsat 8 as two basic parameters for the determination of soil moisture content, the authors of this paper have developed a method to determine the soil moisture content of this area after establishing a neural network model with BP and taking into consideration the real surface temperature measured. Further research shows that soil moisture content determined with this method is accurate. |
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