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利用1981-1994年连续504旬的NOAAAVHRR8km分辨率的NDVI时间系列数据,以及对应时段全国102个固定农气观测站(-20cm深度)的旬土壤湿度资料,建立了植被状态指数IVC与土壤湿度之间的统计模型,由旬IVC值来换算出每旬的土壤湿度,用以反映全国的逐旬土壤水分分布。对模型进行的统计检验表明,模型都通过了置信度为α=0.05的统计检验。试验结果表明,这种方法在作物生长期内可应用于全国大范围的土壤湿度遥感监测,简便易行。
Based on NDVI temporal series data of NOAAAVHRR8km resolution from 1981 to 1994 and the ten-day soil moisture data of 102 fixed agroforestry stations (corresponding to a depth of -20cm) in the corresponding period of China, the vegetation status index (IVC) and soil moisture Between the statistical model, from the ten day IVC value to convert the soil moisture per ten days, to reflect the country by day ten soil moisture distribution. A statistical test of the model shows that the model passed the statistical test with a confidence of α = 0.05. The test results show that this method can be applied to the remote sensing monitoring of soil moisture in the whole country during crop growth period, which is simple and easy to implement.