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Comparison of remotely sensed and meteorological data-derived drought indices in mid-eastern China

机译:中国中部地区遥感和气象数据干旱指数比较

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Numerous drought indices have been developed and applied to monitor the severity of drought. It has been demonstrated that the evaluation of the indices is very important for further utilization of remotely sensed and meteorological information. The objective of this article is to investigate and compare the different methods derived from satellite/meteorological data for drought monitoring during the typical dry year (2006) in mid-eastern China. The compared six drought indices include the vegetation condition index (VCI), percent of average seasonal greenness (PASG), temperature condition index (TCI), vegetation supply water index (VSWI), percentage of precipitation anomalies (PPA) and standardized precipitation index (SPI). These indices are calculated based on different data sources including reflective data, thermal data, the combination of reflective and thermal data and meteorological data. The correlation matrix and regression relationships among the integrals under all drought indices, the integral under the relative air humidity (RAH) curve and cumulative rainfall at the location of 11 agro-meteorological stations for 2006 were calculated. Spatial comparison analysis among the drought indices reveals that all the indices have certain coincidence in the detected regional-scale distribution of drought especially those derived from the same data set, while obviously local-scale distribution differences were found among the different groups of indices. Compared to curves of the reflective and thermal indices, the overall trend of VSWI series has better consistence with the PPA curve. Based on correlation and regression analysis, it is demonstrated that VSWI can better reflect both the amount of precipitation and the severity of drought due to lack of rainfall. Furthermore, land surface temperature (LST) contributes more to the result of hybrid index (VSWI) than reflective information. There is logarithmic relationship between integral of VSWI and cumulative precipitation, while obvious linear correlations were found between integral under VSWI curve and integral under the RAH/TCI/PASG curves. According to the filed observation of droughts from agro-meteorological stations in the study area, it can be concluded that any single index is not sufficient to precisely depicting drought characteristics. The combined use of different indices at the same time or indices which integrate various sources of information may obtain more consistent results with the actual situation.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/01431161.2011.600349
机译:已经开发了许多干旱指数并将其用于监测干旱的严重程度。已经证明,指数的评估对于进一步利用遥感和气象信息非常重要。本文的目的是调查和比较从卫星/气象数据得出的不同方法,以进行中国中部典型干旱年份(2006年)的干旱监测。比较的六个干旱指数包括植被状况指数(VCI),平均季节性绿色百分比(PASG),温度状况指数(TCI),植被供水指数(VSWI),降水异常百分比(PPA)和标准化降水指数( SPI)。这些指数是根据不同的数据源计算得出的,这些数据源包括反射数据,热数据,反射和热数据以及气象数据的组合。计算了2006年11个农业气象台站的所有干旱指数下的积分,相对空气湿度(RAH)曲线下的积分和累积降雨之间的相关矩阵和回归关系。干旱指数之间的空间比较分析表明,所有指数,特别是从同一数据集得出的干旱指数,在检测到的干旱区域尺度分布中都具有一定的一致性,而在不同指数组之间则存在明显的局部尺度分布差异。与反射和热指数曲线相比,VSWI系列的总体趋势与PPA曲线具有更好的一致性。基于相关和回归分析,表明VSWI可以更好地反映降水量和由于缺乏降雨造成的干旱严重程度。此外,与反射信息相比,地表温度(LST)对混合指数(VSWI)的影响更大。 VSWI积分与累积降水量之间存在对数关系,而VSWI曲线下的积分与RAH / TCI / PASG曲线下的积分之间存在明显的线性相关。根据研究区域农业气象站对干旱的现场观察,可以得出结论,任何单一指标不足以精确描述干旱特征。同时使用不同索引或整合各种信息源的索引可能会获得与实际情况更为一致的结果。查看全文下载全文相关var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,service_compact:“ citeulike ,netvibes,twitter,technorati,可口,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/01431161.2011.600349

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