摘要
土壤水分是土壤监测中的一项重要指标,监测土壤水分对区域生态环境保护与可持续发展具有重要意义。本文基于Landsat-8遥感影像数据,构建地表温度与植被指数的Ts/NDVI特征空间,对特征空间的干、湿边方程采用线性、指数、对数、多项式和幂函数拟合,通过决定系数R2对拟合结果进行评估,在选取最适合江苏省的干湿边拟合方程后,计算TVDI对江苏省的土壤水分进行反演。反演结果表明,全省土壤水分空间分布较为均匀,在降水较少的冬季,淮北及江淮局部地区易显露旱象。
Soil moisture is an important indicator in soil monitoring,monitoring soil moisture is of great significance for regional ecological environment protection and sustainable development.Based on Landsat-8 remote sensing image data,this paper constructs the Ts/NDVI feature space of land surface temperature and vegetation index.The dry and wet edge equations of the feature space are fitted with linear,exponential,logarithmic,polynomial and power functions.The fitting results are evaluated by the determination coefficient R2.After selecting the most suitable dry and wet edge fitting equation for Jiangsu province,the TVDI is calculated to invert the soil moisture in Jiangsu province.The inversion results show that the spatial distribution of soil moisture in the province is relatively uniform,and in the winter when there is less precipitation,droughts are likely to appear in parts of Huaibei and Jianghuai.
作者
胡君
HU Jun(School of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China)
出处
《测绘与空间地理信息》
2023年第2期85-88,共4页
Geomatics & Spatial Information Technology
基金
江苏省自然科学基金(BK20181312)资助。
