| 基于MODIS和HJ-1数据的宿鸭湖水库面积遥感监测研究 |
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| 引用本文：郭鹏.基于MODIS和HJ-1数据的宿鸭湖水库面积遥感监测研究[J].气象与环境科学,2014,37(3):49-54..Remote Sensing Research of the Water Area of Suyahu Reservoir Based on MODIS and HJ-1 Images[J].Meteorological and Environmental Sciences,2014,37(3):49-54. |
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| 作者姓名：郭鹏 |
| 作者单位：1.中国气象局·河南省农业气象保障与应用技术重点开放实验室，郑州 450003； 2.河南省气象科学研究所，郑州 450003 |
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| 中文摘要:水体与植被、城市和土壤等地物在不同波段的光谱反射率的差异是利用遥感手段提取水体信息的基本原理。以宿鸭湖水库为例，在水体光谱特征分析的基础上,采用归一化植被指数(NDVI)方法提取2010年的MODIS和HJ-1遥感影像上的水体信息。首先将MODIS数据的第1和第2波段，以及HJ-1数据的第3和第4波段经过波段运算得到NDVI图像。将两种遥感图像中NDVI值为负的像元判识为水体，NDVI值为正的判识为水库周围的农田，经过计算像元数量得到水体面积信息。水体判识阈值在全年变化范围在-0.08和0.08之间。HJ-1数据具有较高的空间分辨率，水体判识的结果比MODIS数据更加精确。利用HJ-1数据水体监测结果对MODIS数据结果进行校正，使得到的监测结果同时具有较高的时间分辨率和空间分辨率。研究结果表明：利用HJ-1数据校正后的MODIS数据所测得的水域面积与实际观测得到的水库蓄水量之间的复相关系数为0.8603，显著提高了水体监测的精度，从而为大范围的水资源与水环境动态监测提供了迅速、可靠的依据。 |
| 中文关键词:提取水体 光谱特征 水体指数 卫星遥感 |
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| Remote Sensing Research of the Water Area of Suyahu Reservoir Based on MODIS and HJ-1 Images |
| Authors:Guo Peng |
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| Abstract:The difference of different band spectral reflectance among water, vegetation, urban, soil and other objects is the foundation of extracting water body information by means of the remote sensing data. Based on analyzing spectral characteristics of the water body information in the remote sensing images, the water bodies of Suyahu reservoir case are extracted using the NDVI from MODIS and HJ-1 images. First, the NDVI images are extracted from the MODIS images of band 1,2 and the HJ-1 images of band 3, 4 by band operation. In the NDVI images, the pixels whose value are under zero are considered to be water body, whose value are higher than zero are considered to be the vegetation around Suyahu reservoir, the water body information could be extracted by calculating the number of water body pixels. The water body threshold value is waved between -0.08 and 0.08 in a year. Water body information from HJ-1 images which have better spatial resolution is better than the result extracted from MODIS images. And the result extracted from MODIS images could be compared with HJ-1 images in order to have better spatial resolution and temporal resolution. The results show that correlation coefficient between in situ data and the water area extracted from MODIS data compared with HJ-1 data is 0.8603, and extract water body information with a high precision, providing quick and reliable basis for dynamic monitoring of water resource and water environment. |
| Keywords:extracting water body spectral characteristics water body index satellite remote sensing |
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