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首页> 外文会议>Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology >A Real-time Drought Monitoring Method : Cropland Soil Moisture Index (CSMI) and Application
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A Real-time Drought Monitoring Method : Cropland Soil Moisture Index (CSMI) and Application

机译：实时干旱监测方法：农田土壤湿度指数（CSMI）和应用

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摘要

Soil Moisture and Vegetation Growth are the most important and direct index in drought monitoring, and the spectrum interpretation of vegetation and soil are serious factors in the judgment of drought degree. To find a more real-time monitoring indexof cropland soil moisture by remote sensing, a Cropland Soil Moisture Index (CSMI) was established in this paper based on the effective reflections of Normalized Difference Vegetation Index (NDVI) on deeper soil moisture and well expressions of Surface Water Content Index (SWCI) on surface soil moisture. By validation with different time-series MODIS data, the Cropland Soil Moisture Index (CSMI) not only overcome the limitation of hysteretic nature and saturated quickly of Normalized Difference Vegetation Index (NDVI), but also take the advantage of the Surface Water Content Index (SWCI) which effectively reduce the atmosphere disturbance and retrieval surface soil water content better. The index passed the significant F-tests with a = 0. 01, and is atrue real-time drought monitoring index.
机译：土壤水分和植被生长是干旱监测中最重要和最重要的指标，植被和土壤的频谱解释是对干旱程度判断的严重因素。要通过遥感方式查找裁剪土壤水分的耕种土壤水分的更实时监测，这篇论文是基于归一化差异植被指数（NDVI）对更深的土壤水分和井表达式的有效反映来建立了农田土壤水分指数（CSMI）表面含水量指数（SWCI）表面土壤水分。通过验证不同的时间序列MODIS数据，农田土壤湿度指数（CSMI）不仅克服滞后性质的限制和饱和型差异植被指数（NDVI）的迅速饱和，而且还采取了表面含水量指数的优势（ SWCI）有效地减少了大气障碍和检索表面土壤水含量更好。该索引通过了一个= 0. 01的重要F-Tests，并且是Arrue实时干旱监测索引。

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