摘要
以陕西省关中地区为研究区域,基于2009年春季三期Terro-MODIS1B数据,获取昼夜地表温差和反照率参数;结合同期气象站点实测的土壤墒情数据,采用热惯量法建立热惯量-土壤含水量(ATI-SWC)经验模型。模拟结果表明:3月8日模型模拟精度最高,4月28日模型模拟精度最低。进一步分析发现,植被指数对模型的影响较大,因此热惯量法对裸地土壤含水量监测精度较高。最后,结合研究区DEM数据,综合分析了地质地貌、地下水和植被指数等对关中地区土壤含水量的影响。研究结果对关中地区的旱情监测具有一定的参考价值。
The day-and-night ground surface temperature difference and reflectivity values were obtained in Guanzhong area of Shannxi Province based on the three-phase Terro-MODIS1B data in spring of 2009.In combination with the measured soil moisture data in the meteorological stations at the same time,the thermal inertia method was used to develop the ATI-SWC experience model.The results showed that the model of March 3 has the highest precision while the model of April 28 has lowest precision.Further studies suggested that NDVI has significant effects on model precision,thus the thermal inertia method had higher precision on monitoring soil moisture of bare land.Based on the DEM data,the impacts of geology and geomorphology,groundwater,and NDVI on soil moisture in Guanzhong area were analyzed.The research results can provide reference on drought monitoring in Guanzhong area.
出处
《南水北调与水利科技》
CAS
CSCD
北大核心
2014年第3期33-37,共5页
South-to-North Water Transfers and Water Science & Technology
基金
西安科技大学培育基金(2009014)
