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| 用MODIS遥感数据监测东亚飞蝗灾害——以河北省南大港为例 | |
| 引用本文： | 季荣,张霞,谢宝瑜,李哲,刘团结,刘闯,李典谟.用MODIS遥感数据监测东亚飞蝗灾害——以河北省南大港为例[J].昆虫学报,2003,46(6):713-719. |
| 作者姓名： | 季荣 张霞 谢宝瑜 李哲 刘团结 刘闯 李典谟 |
| 作者单位： | 1. 中国科学院动物研究所,农业虫害鼠害综合治理研究国家重点实验室,北京,100080 2. 中国科学院遥感应用研究所,北京,100101 3. 中国科学院地理科学与资源研究所,北京,100101 |
| 基金项目： | 科技部973重大基础研究项目(G2000016210);国家自然科学基金项目(30270858,30170596);中国科学院知识创新项目(KSCX2-SW-103,KSCX2-1-02);中国科学院创新工程领域前沿资助项目(KSCX3-IOZ-04) |
| 摘 要： | 东亚飞蝗自20世纪80年代以来在我国再度猖獗危害。本文选择国家一类蝗区河北省南大港农场水库为实验区，以2002年东亚飞蝗（夏蝗）大发生为背景，测定了不同受害程度芦苇的光谱曲线，并用MODIS遥感数据分析蝗灾危害范围和程度。结果表明，健康芦苇（未受害）呈现出典型植被光谱的“峰和谷”特征；而受害芦苇，其红光区处反射率增加，且受害程度越重，增加愈显著，近红外区的反射率则显著降低，且受害程度越重，反射率愈低。比较多时相归一化植被指数（NDVI）受灾前后的变化，NDVI值增加表明未受蝗虫危害，而其下降则表明是受灾区域，结合地面数据，找出了不同危害程度的NDVI临界值；其次根据像元累计法，确定了不同受灾程度的面积。结果显示，NDVI小于0.2156和0.2389分别为严重受灾区和中等受灾区，其发生面积依次为168.74 hm2和337.48 hm2，判对率分别为72.97%和68.35%。MODIS遥感监测蝗灾发生面积（中等受灾及严重受灾）占实际发生面积的82.76%。研究结果为实时、快速、大面积监测蝗虫种群动态奠定了基础，并为合理 、经济地防治蝗灾提供了科学依据。 |
| 关 键 词： | 东亚飞蝗 蝗灾 遥感监测 光谱数据 MODIS遥感数据 归一化植被指数 地面实查 |
| 文章编号： | 0454-6296(2003)06-0713-07 |
| 修稿时间： | 2003年4月24日 |
Use of MODIS data to detect the Oriental migratory locust plague: A case study in Nandagang, Hebei Province |
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| JI Rong ,ZHANG Xia ,XIE Bao Yu ,LI Zhe ,LIU Tuan Jie ,LIU Chuang ,LI Dian Mo.Use of MODIS data to detect the Oriental migratory locust plague: A case study in Nandagang, Hebei Province[J].Acta Entomologica Sinica,2003,46(6):713-719. | |
| Authors: | JI Rong ZHANG Xia XIE Bao Yu LI Zhe LIU Tuan Jie LIU Chuang LI Dian Mo |
| Affiliation: | JI Rong 1,ZHANG Xia 2,XIE Bao Yu 1,LI Zhe 1,LIU Tuan Jie 2,LIU Chuang 3,LI Dian Mo 1* |
| Abstract: | Outbreaks of the Oriental migratory locust, Locusta migratoria manilensis(Meyen) have once again become a serious problem in the last two decades of the 20th century in China. One of the coastal breeding areas of the locust, Nandagang reservoir of Hebei Province was chosen as study area in this paper. Against the background of the locust outbreak (summer locust) of this area in 2002, spectral reflectance curves of reeds for different damaged degrees (heavy, moderate or no damage) were measured and determined. The results showed that healthy reeds manifested the “peak and valley” configuration as that of other healthy green vegetation. But for damaged reeds the red reflectance increased, and the heavier the damage, the higher the red reflectance values, whereas the reflectance in the near infrared bands decreased dramatically with the damage scalating. Additionally, the locust damaged areas and degrees were determined using MODIS data. Comparisons of NDVI changes between pre and post damage showed that the increase for the same site in NDVI relative to the pre damage situation corresponded to the undamaged areas whereas the decrease in NDVI corresponded to the damaged areas. Coupled with the ground truth data, critical values of NDVI for heavy and moderate damage were determined as 0.2156 and 0.2389 respectively. Namely, areas with NDVI less than 0.2156 were identified as with heavy damage; while areas with NDVI less than 0.2389 as with moderate damage. By calculating the numbers of pixels, areas discriminated from MODIS images as with heavy and moderate damage were 168.74 hm2 and 337.48 hm2 respectively, with 72.97% and 68.35% accuracy respectively evaluated by the ground truth data. The total damaged areas identified from MODIS data amounted to 82.67% of actual occurrence areas. These findings contributed to the scientific foundation for quickly monitoring the dynamics of locust populations in real time and at large scale and efficiently controlling locust plague. |
| Keywords: | Locusta migratoria manilensis locust plague remote sensing monitoring spectral data MODIS data NDVI ground truth |
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