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首页> 外文会议>Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China >Identifying the breeding areas of locusts in the Yellow River estuary using Landsat ETM+ imagery
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Identifying the breeding areas of locusts in the Yellow River estuary using Landsat ETM+ imagery

机译：使用Landsat ETM +影像识别黄河口蝗虫的繁殖区

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The Yellow River Estuary became an important plague region of locusts because of its special geographic location. Many years' survey data showed that the environment was the chief factor that influenced locust pest occurring. In the recent years, because the amount of water from the Yellow River and precipitation reduced and distributed asymmetrically, and soil salinization became serious much more, and many farmlands went out of cultivation, which improved the habitats for locusts, the plague of locusts happened frequently under condign climate. The field survey data from 1991 to 2000 showed that the plague of locust became more aggravating year after year. Therefore, it is important to monitor and control the plague of locusts. According to many years' investigation data analysis, got the condign habitat conditions for Locusta Migratoria Manilensis (Meyen) in the Yellow River Estuary. So the breeding areas of locusts monitoring with remote sensing imagery was to identify those regions according to the condign habitat conditions. Landsat ETM+ imagery (2000-05-02) data was chosen to identify the breeding areas of locusts in the Yellow River Estuary. Firstly classified Landsat TM imagery (2000-5-2) and extract reed lands and lawn lands and slightly salinized soils. Secondly made mask images through transforming these three raster classes into vector layers, then calculated a anti-atmospheric visible light vegetation index VARIg = (B_2-B_3)/(B_2+B_3-B_1). According to field investigation data of vegetation fractional cover in 2000, got the relationship between vegetation fractional cover and VARIg values, 70% to 3.0, 50% to 2.3. As a result, the infrequent areas were where VARIg values were great than 3.0, and the moderate areas were where VARIg values were between 2.3 and 3.0, and frequent areas were where VARIg values were under 2.3. According to statistical analysis, the infrequent areas were percent 10 of the lands that have the condign soil salt content for locust growth, and the moderate areas of locusts were percent 40, and the frequent areas were percent 50. Because of the low spatial resolution of ETM+ imagery not enough to identify vegetation structure and components, and the quick spatial and temporal change of soil water content, this research only discussed vegetation fractional cover and soil salt content, and quantitative assessment of the identification results and a detailed research need more high spatial and temporal resolution remote sensing data and surface data supports in the future.
机译：黄河河口由于其特殊的地理位置而成为蝗灾的重要灾区。多年的调查数据表明，环境是影响蝗虫害发生的主要因素。近年来，由于黄河水量减少和降水量不对称分布减少，土壤盐碱化更加严重，许多农田被淘汰，改善了蝗虫的生境，蝗灾频发。在温和的气候下。 1991年至2000年的实地调查数据显示，蝗灾逐年加剧。因此，监视和控制蝗灾很重要。根据多年的调查数据分析，得出了黄河口马齿Lo的适宜生境条件。因此，利用遥感影像监测蝗虫的繁殖区域是根据适当的栖息地条件来识别这些区域。选择Landsat ETM +影像（2000-05-02）数据来识别黄河口蝗虫的繁殖区域。首先对Landsat TM影像进行分类（2000-5-2），并提取芦苇地，草坪地和略微盐化的土壤。其次，通过将这三种栅格类别转换为矢量层来制作掩模图像，然后计算出反大气层可见光植被指数VARIg =（B_2-B_3）/（B_2 + B_3-B_1）。根据2000年植被覆盖度的野外调查数据，得出植被覆盖度与VARIg值的关系为70％〜3.0，50％〜2.3。结果，不频繁区域的VARIg值大于3.0，中度区域的VARIg值在2.3和3.0之间，而频繁区域的VARIg值在2.3以下。根据统计分析，不常见区域占蝗虫生长土壤土壤含盐量适度的土地的10％，中度蝗虫区域占40％，频繁区域的蝗虫占50％。 ETM +图像不足以识别植被的结构和成分，以及土壤含水量的快速时空变化，本研究仅讨论了植被覆盖度和土壤盐分含量，并对鉴定结果进行定量评估，而详细的研究则需要更高的空间以及未来时间分辨率的遥感数据和地面数据的支持。

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