摘要
土壤湿度是表征土壤水分状况和土地水文过程的一项重要指标,与农作物及植被的生长密切相关,而传统的土壤湿度监测可以较为准确地测量出土壤湿度,但是不能反映较大范围内的土壤含水情况,耗时长且耗费的人力物力较多。随着遥感技术的发展,其被广泛应用于植被分类、土地利用规划、地球资源普查、环境污染监测等领域。其中,土壤湿度也可以通过遥感卫星影像丰富的波段信息反演获取,实现对土壤湿度的大范围的动态监测。本文旨在利用遥感卫星影像Landsat-8的OLI成像仪和TIRS传感器波段数据,反演地表温度,计算NDVI,构建TVDI模型,对黑河流域内的土壤湿度进行反演研究。
Soil moisture is the characterization of soil moisture condition and land is an important index in the process of hydrological,closely related to the growth of crops and vegetation,and the traditional soil moisture monitoring can more accurately measure the soil moisture,but do not reflect a wide range of soil water condition,and time consuming and more resources.With the development of remote sensing technology,it has been widely used in vegetation classification,land use planning,earth resources survey,environmental pollution monitoring and other fields.Among them,soil moisture can also be acquired through the inversion of rich band information of remote sensing satellite images,so as to realize the dynamic monitoring of soil moisture in a large range.This paper aims to use the OLI and TIRS sensor band data of Landsat-8 remote sensing satellite image to invert the surface temperature,calculate TDVI,build THE TVDI model,and conduct inversion research on the soil moisture in Heihe River basin.
作者
李姝蕊
孙昭
LI Shurui;SUN Zhao(Heilongjiang Institute of Geomatics Engineering,Harbin 150081,China;The Fifth Surveying,Mapping and Geographic Information Engineering Institute of Heilongjiang Province,Harbin 150081,China)
出处
《测绘与空间地理信息》
2021年第S01期159-163,共5页
Geomatics & Spatial Information Technology
