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当前位置: 首页 > 文章 > 利用NDVI-T_s方法大尺度反演盐碱地土壤湿度的误差分析——以农田、草地为例 土壤与作物 2013 (4) 157-163
Position: Home > Articles > Analysis of Large-scale Soil Moisture Retrieval Error in Saline-alkali Soil Based on NDVI-T_s Space——Taking Farmland and Grassland as Cases Soil and Crop 2013 (4) 157-163

利用NDVI-T_s方法大尺度反演盐碱地土壤湿度的误差分析——以农田、草地为例

作  者：
娄利娇;刘宝江
单  位：
中国科学院东北地理与农业生态研究所;中国科学院大学
关键词：
盐碱地;植被覆盖类型;NDVI-T s特征空间;TVDI;土壤湿度
摘  要：
土地盐碱化导致大面积土地资源的丧失,威胁生态的可持续发展,严重破坏了我们赖以生存的环境,因此用遥感手段监测土壤盐碱化有很大的现实意义。地面受不同的植被所覆盖,特别是在大尺度下植被类型纷繁复杂,利用遥感数据通过传统的NDVI-T s特征空间来反演大尺度下土壤湿度时往往会增大反演误差。本文使用landsat8数据,考虑到不同植被对NDVI-T s特征空间的影响,分别建立了农田和草地覆盖下的特征空间,并结合地面实际测量的土壤湿度数据,分析干旱植被指数(TVDI)与实际土壤含水量的相关性,并以此来反映传统NDVI-T s特征空间引起的在大尺度反演土壤湿度的误差。结果发现:整体区域为0.16,农田为0.22,草地为0.35;并分别通过了0.01、0.1、0.05水平的显著性检验。从以上的结论我们可以得到:在利用TVDI反演大尺度土壤湿度时,不能将所有的植被类型一起作为NDVI-T s特征空间来计算TVDI,不同的植被类型需要分开以提高土壤湿度反演的精度。
译  名：
Analysis of Large-scale Soil Moisture Retrieval Error in Saline-alkali Soil Based on NDVI-T_s Space——Taking Farmland and Grassland as Cases
作  者：
LOU Li-jiao;LIU Bao-jiang;Northeast Institute of Geography and Agroecology,CAS;University of Chinese Academy of Sciences;
关键词：
saline-alkali soil;;vegetation type;;NDVI-T s space;;TVDI;;soil moisture
摘  要：
The soil salinization results in the loss of a large area of land resources,and is a direct threat to the ecological sustainable development,and also damages to the natural environment for human survival seriously. So it has a very important practical significance to use remote sensing technology in soil salinization monitoring. Ground is covered by different vegetation,so the retrieval of soil moisture of traditional NDVI-T s space increases the error especially in large-scale. In this paper,taking corn farmland and grassland of saline as cases,firstly make use of landsat8 data for the retrieval of the land surface temperature T s( Land surface temperature) by split window algorithm combined with the ground test station meteorological data. And then establish the NDVI( Normalized Difference Vegetation In- dex)-T s feature space under two types of land use. Use the NDVI-T s space to calculate the TVDI( Temperature Vegetation Dryness Index). Combined with the actual measured surface soil moisture data to calculate the correlation coefficients between actual soil moisture and TVDI: the whole area is 0. 16,farmland is 0. 22,grassland is 0. 35; and the correlation coefficients got through the 0. 01,0. 1,0. 05 significance level respectively. Lastly analyze the soil moisture retrieval error by different NDVI-T s feature space. From the above conclusion: Separating different types of land use increase the soil moisture retrieval accuracy.

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