| 基于风云3卫星数据的温度植被干旱指数在重庆地区的应用 |
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| 引用本文： | 张德军,杨世琦,王永前,等.基于风云3卫星数据的温度植被干旱指数在重庆地区的应用[J].高原山地气象研究,2017,37(4):40-47. |
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| 作者姓名： | 张德军 杨世琦 王永前 等 |
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| 作者单位： | 1. 成都信息工程大学资源环境学院, 成都 610225; |
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| 基金项目： | 四川省教育厅创新团队资助项目(16TD0024)重庆市社会事业与民生保障科技创新专项(cstc2017shmsA120007)重庆市气象局开放基金资助项目(kfjj-201402)国家自然科学基金资助项目(41471305)重庆市科委资助项目(CSTC2016Shm SZX00006) |
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| 摘 要： | 为探究风云3卫星数据在重庆地区干旱监测中的适用性，以温度植被干旱指数(Temperature Vegetation Dryness Index,TVDI)为监测指标，利用Aqua/MODIS数据为对比数据，对重庆地区2015年夏季(7～9月)旱情进行监测分析。结果显示，重庆夏季主要受轻旱和中旱的影响，旱情较严重的区域主要集中在西部地区。从7月开始，受旱情影响的范围在逐渐加大，旱情程度也在不断加深。结合高程数据(Digital Elevation Model,DEM)和MODIS土地覆盖类型产品数据，将重庆地区划分为低海拔混交林、中海拔混交林、低海拔小起伏山地作物、低海拔中起伏山地作物四类讨论不同地貌类型受旱情的影响。作物类受旱情影响的面积百分比较混交林类大，低海拔相较于中海拔地区受干旱影响的面积百分比更大。为验证基于TVDI的干旱监测结果的准确性，利用重庆市170个地面站点实测的土壤墒情数据为验证数据，通过相关性分析可知，FY3A/VIRR数据与Aqua/MODIS数据不论是在整体相关性还是按不同地表类型分类后与土壤墒情数据间的相关性都较好，且相关系数在0.1水平(双侧)显著相关，说明利用TVDI能较好的反映出重庆地区土壤中的水分含量情况。但两类数据的相关性又存在一定的差异，整体上，Aqua/MODIS数据与土壤墒情之间的相关性要高于FY3A/VIRR数据；分类后，FY3A/VIRR数据与土壤墒情之间的相关性要高于Aqua/MODIS数据。
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| 关 键 词： | 干旱监测 FY3数据 Aqua/MODIS数据 温度植被干旱指数 背景区划分 |
| 收稿时间： | 2017-11-21 |
Application of Temperature Vegetation Dryness Index to Drought Monitoring in Chongqing Based on FY-3 Data |
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| Affiliation: | 1. College of Environmental and Resource Science, Chengdu University of Information Technology, Chengdu 610225, China;2. Chongqing Institute of Meteorological Sciences, Chongqing 401147, China |
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| Abstract: | In order to explore the applicability of FY 3 data in monitoring drought in Chongqing, Temperature Vegetation Dryness Index(TVDI) was used as the index to monitor and analyze Chongqing’s drought condition in the summer of 2015. Compared with Aqua/MODIS data, the result has shown that Chongqing is mainly affected by slight and moderate drought in summer, while heavy drought usually occurs in the west. Moreover, the drought has been aggravating and extending since July. Combined with DEM(Digital Elevation Model) and MODIS land cover data, Chongqing is divided into four categories: low-altitude mingled forest, middle-altitude mingled forest, Low elevation and small undulating mountain crops, Low elevation and middle undulating mountain crops, which applies to analyze the drought affection based on different landforms. The drought affection area in crops is bigger than in mingled forest, and in low-altitude bigger than in middle-altitude. Soil moisture data from 170 ground stations in Chongqing have been taken as the verification to verify the accuracy of the TVDI-based drought monitoring results. It tells that the correlation between FY3A / VIRR data and Aqua / MODIS data is good whether in overall situation or in different types of soil surface, and the correlation coefficient is significantly correlated at 0.1 level (bilateral), which shows that TVDI actually can reflect the soil moisture situation in Chongqing. The two data still have some differences to some degree: On the whole, the correlation between Aqua / MODIS data and soil moisture is higher than that of FY3A / VIRR data; After classification, the correlation between FY3A / VIRR data and soil moisture is higher than that of Aqua / MODIS data. |
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