Soil Moisture Monitoring of Winter Wheat in Whole Growing Period Based on Modified NDVI Time Series
Aiming at the contradiction between temporal and spatial resolution of soil moisture monitoring, using the modified normalized vegetation index (NDVI) as the indicator of soil moisture, this paper puts forward a new method of real-time and semi-quantitative monitoring of soil moisture during winter wheat growth period by using the shared meteorological remote sensing data with high temporal resolution.First of all, the winter wheat planting area was divided into regions, and the growth stages were also divided according to its phenological characteristics;Secondly, NDVI was calculated by using meteorological remote sensing data, and the NDVI was adjusted adaptively in each stage and region.The correlation analysis between measured soil moisture data and modified NDVI showed that NDVI could be used as an indicator of soil moisture.Finally, the temporal and spatial distribution of soil moisture of winter wheat, through compared with those of previous three year averages, was obtained by analyzing the difference between the modified NDVI and the annual mean value, and the result was in agreement with the actual observations.It is foreseeable that if there is a longer time series to accumulate, the temporal and spatial distribution of soil moisture in the wheat field can be obtained through compared with the perennial year.The results show that the method proposed in this paper can be used to semi-quantify and quasi-real-time monitoring of soil moisture in winter wheat in the whole growth period.Moreover, remote sensing data are easy to obtain, almost no need of measured data, convenient calculation and low cost.So, it has important reference value for winter wheat farmland management and decision-making.
soil moisture monitoringMODISNDVIwinter wheatHenan province
NETL
NSTL
万方数据
维普
