干旱区生态环境知识资源中心(Arid): 基于T_s-NDVI特征空间的绿洲土壤水分监测算法改进

Arid

	基于T_s-NDVI特征空间的绿洲土壤水分监测算法改进
其他题名	Improvement and Comparison of Soil moisture Monitoring Algorithm in Oasis Based on Ts-NDVI Feature Space
	王娇; 丁建丽; 袁泽; 陈文倩; 李相; 黄帅
来源期刊	中国沙漠
ISSN	1000-694X
出版年	2016
卷号	36 期号:6 页码:1606-1612
中文摘要	土壤水分胁迫是干旱区绿洲生态环境和可持续发展面临的主要问题,开展区域尺度下大面积、高精度的土壤水分监测,有利于该地区旱情预报、作物估产、气象水文等领域研究。以T_s -NDVI特征空间为理论基础,以新疆渭干河-库车河三角洲绿洲为研究靶区,选择典型干湿季节下Landsat 8遥感影像,在传统温度-植被干旱指数(TVDI)算法基础上,考虑大尺度研究区下垫面异质性(植被覆被、地形起伏)对辐射能量平衡的影响,分别采用植被水分指数(VWIs)、加入大气温度(T_a)和DEM校正后的地表温度(T_s)与NDVI相结合,构建了植被干旱指数(VDI)和改进型温度-植被干旱指数(iTVDI),并结合同期实测土壤水分数据对3种算法进行比较。结果表明:3种算法在一定程度上均能比较客观反映旱情特征,与表层土壤含水量呈现不同程度的负相关,其中,iTVDI相关性最好,TVDI次之,VDI相关性最低;相较植被生长初期而言,3种算法均在植被生长成熟期具有更好的水分监测能力。
英文摘要	This study aims at developing appropriate methods for soil water stress detection in arid regions in Ugan-Kuqa River Delta Oasis by the images of Landsat 8.To do this,we use NDVI combined with Vegetation Water Index (VWIs)and surface temperature (T_s)to construct Vegetation Dryness Index (VDI)and Temperature Vegetation Drought Index (TVDI)respectively.At the same time,a modified approach towards the TVDI incorporating air temperature(T_a)and a DEM to develop the improved Temperature Vegetation Drought Index(iTVDI),which taking into account the impact of topography and cover types.The three algorithms were applied to retrieve the spatial and temporal distribution of water stress.Then,the same period field surface soil moisture data were used for verification and evaluation.The results show that the three algorithms to some extent,all can objectively reflect the dryness characteristics and all have negative correlation of soil moisture.While iTVDI has best correlation,TVDI followed,VDI has minimum correlation. In addition,all R~2 values in April were lower than values in August,it is concluded that compared with growing season,the three algorithms were more suitable for the grown season water stress/drought detection.
中文关键词	土壤水分
英文关键词	NDVI VDI TVDI iTVDI NDII VDI TVDI iTVDI soil moisture
语种	中文
国家	中国
收录类别	CSCD
WOS类目	METEOROLOGY ATMOSPHERIC SCIENCES
WOS研究方向	Meteorology & Atmospheric Sciences
CSCD记录号	CSCD:5910384
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/235460
作者单位	新疆大学资源与环境科学学院, 绿洲生态教育部重点实验室, 乌鲁木齐, 新疆 830046, 中国
推荐引用方式 GB/T 7714	王娇,丁建丽,袁泽,等. 基于T_s-NDVI特征空间的绿洲土壤水分监测算法改进[J]. 新疆大学,2016,36(6):1606-1612.
APA	王娇,丁建丽,袁泽,陈文倩,李相,&黄帅.(2016).基于T_s-NDVI特征空间的绿洲土壤水分监测算法改进.中国沙漠,36(6),1606-1612.
MLA	王娇,et al."基于T_s-NDVI特征空间的绿洲土壤水分监测算法改进".中国沙漠 36.6(2016):1606-1612.