检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:夏燕秋[1] 马金辉[1] 屈创[2] 王天祥[1]
机构地区:[1]兰州大学资源与环境学院,甘肃兰州730000 [2]黄河水利委员会黄河上中游管理局,陕西西安710021
出 处:《干旱气象》2015年第2期213-219,共7页Journal of Arid Meteorology
基 金:国家科技支撑计划项目(2011BAK12B06;2015BAK15B02);甘肃省自然科学基金(096RJZA129)共同资助
摘 要:在地形复杂、水土流失严重且地质灾害严重的白龙江流域,土壤含水量遥感监测在地质灾害监测预警研究中具有重要意义。为实时掌握白龙江流域的土壤水分含量状况,利用2013年4月的Landsat7 ETM+影像,采用温度植被干旱指数法,构建Ts-NDVI特征空间,结合野外88个实测样点土壤水分数据,建立0~60 cm土壤深度范围内3个单层(0~20 cm,20~40 cm,40~60 cm)及2个平均层(0~40 cm,0~60 cm)的土壤水分遥感反演回归模型,对比分析了白龙江流域5个深度的土壤水分的空间变化特征,并用未参与建模的16个实测土壤水分数据样点进行相应的精度验证。结果表明:3个单层中20~40 cm土壤水分反演精度相对较高,RMSE值为3.06%,2个平均层中0~40 cm反演精度最高(RMSE)为2.45%,由此说明TVDI更能稳定地反映和指示土壤中层深度(20~40 cm)的水分分布状况。In the Bailongjiang Basin, complex terrain, serious soil and water loss as well as serious geological disasters therein, remote sensing monitoring of soil moisture plays an important role in monitoring and early warning of geological disasters. Firstly, the Ts - ND- VI feature space was established by using temperature vegetation index method based on the Landsat 7ETM + data in April of 2013, then the soil moisture inversion regression models of five soil depth including the 0 - 20 cm, 20 - 40 cm, 40 - 60 cm and 0 - 40 cm, 0 -60 cm were established using the TVDI model and combining with soil moisture data measured in 88 field samples to construct five soil depth' s soil moisture. At the same time, the measured soil moisture data in the other 16 field samples that did not participate in the modeling were used to verify the accuracy of the inversion results. The results show that among soil depths of 0 - 20 cm, 20 - 40 cm, 40 -60 cm, the 20 -40 cm depth where soll moisture estimation had the high precision of 3.06% , and between the 0 -40 cm and the 0 -60 cm averaged soil layers, the 0 -40 em depth where soil moisture estimation had the high precision of 2.45%. So TVDI method based on Landsat ETM + data could be used to monitor the soil moisture in the Bailongjiang Basin.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.249