利用主动微波遥感数据监测土壤墒情方法

Using active microwave remote sensing data to detect soil moisture

采用主动微波遥感数据,选取郑州市中牟县范围内裸露的地表进行土壤墒情的监测工作,同时选择适合该类区域地表情况的AIEM模型来处理获取的相关雷达数据。实验所用影像数据为Rardarsat-2雷达卫星的遥感影像数据,其中雷达的一些相关参数都包含在影像的头文件中,在实验过程中通过查阅直接使用。实验使用欧空局的NEST软件对影像进行滤波和辐射定标等一系列操作,得到的中间格式数据使用ESRI公司的ENVI软件进一步处理得到地表后向散射系数。通过上述步骤得到的数据对ANN-BP进行训练,最后采用极化方式为VV和HH的数据,利用ANN-BP对数据进行模拟,得到该地区的土壤墒情信息。

Using the active microwave remote sensing data.The bare surface area we used to retrieval soil moisture was selected from the scope of zhongmou county,zhengzhou city.At the same time,we select the AIEM model which is suitable for the surface condition of this kind of area to process the related radar data.The image data of the experiment is the Rardarsat-2 radar satellite remote sensing image data,in which some of the relevant parameters of the radar are included in the header file of the image.Use the NEST software from ESA for image filtering and radiation calibration,and so on.The intermediate data format using envi software of ESRI company for further processing to get the ground backward scattering coefficient.The data we obtained by the above steps was used to train the ANN-BP.During the experiment we only use the polarization of VV and HH data.The data were simulated by ANN-BP was used to retrieval the area of soil moisture information.