干旱区生态环境知识资源中心(Arid): 基于多尺度遥感数据的荒漠化草原旱情监测及时空特征

Arid

	基于多尺度遥感数据的荒漠化草原旱情监测及时空特征
其他题名	Study on drought monitoring and spatial and temporal characteristics of desertification grassland based on multi-scale remote sensing data
	韩刚 1; 李瑞平 1; 王思楠 1; 田鑫 1; 胡勇平 1; 樊爱霞 2; 孙燕 3
来源期刊	江苏农业学报
ISSN	1000-4440
出版年	2017
卷号	33 期号:6 页码:1301-1308
中文摘要	本研究以Landsat8/ ETM+与MODIS遥感数据作为数据源,利用TVDI模型对乌审旗土壤含水率进行遥感监测。首先通过时空尺度推演方法将Landsat8/ETM+反演的30 m空间分辨率TVDI对MODIS反演的1 km空间分辨率TVDI进行空间尺度推演,然后与单独利用MODIS数据监测含水率结果以及野外含水率实测数据进行对比分析,最后采用TVDI时间推演方法获得TVDI月合成数据监测乌审旗旱情时空分布状况。结果表明:多尺度遥感模型对MODIS反演的TVDI进行空间尺度推演,使得TVDI空间分辨率提高,土壤含水率监测精度得到提高,并可获得高时间、高空间分辨率TVDI数据,最终实现高频率的区域土壤干旱状况动态监测。采用时空推演方法获得的TVDI月合成数据监测乌审旗旱情时空分布状况与研究区实际状况极为相符,此方法对于进一步服务该区域农牧业生产具有重要意义。
英文摘要	In this paper, Landsat8/ETM + and MODIS remote sensing data were used as data sources, and TVDI model was used to monitor soil moisture content in Wushen County. TVDI of 30 m spatial resolution inversed by Landsat8/ETM+ was used to deduce TVDI of 1km spatial resolution inversed by MODIS using the spatial scale deduction method, and with the use of MODIS data alone monitoring soil moisture content and field moisture content of the measured data for comparative analysis. Finally, TVDI monthly synthetic data which obtained by time deduction method were used to monitor the temporal and spatial distribution of drought in Wushen County. The experimental results showed that the multi-scale remote sensing model made a spatial scale deduction of TVDI inversion of MODIS, which improved the spatial resolution of TVDI, improved the monitoring accuracy of soil moisture content and obtained high temporal and spatial resolution TVDI data, and finally achieved high frequency monitoring of the regional soil drought. The temporal and spatial distribution of drought in Wushen County was consistent with the actual situation of the study area. This method showed great significance to further serve the agricultural and livestock production in this area.
中文关键词	多源数据 ; 含水率 ; 旱情监测
英文关键词	TVDI multi-source data TVDI moisture content drought monitoring
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:6143462
来源机构	内蒙古农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/236222
作者单位	1.内蒙古农业大学水利与土木建筑工程学院, 呼和浩特, 内蒙古 010018, 中国; 2.内蒙古水利水电勘测设计院, 呼和浩特, 内蒙古 010020, 中国; 3.包头市鑫港工程监理有限公司, 包头, 内蒙古 014030, 中国
推荐引用方式 GB/T 7714	韩刚,李瑞平,王思楠,等. 基于多尺度遥感数据的荒漠化草原旱情监测及时空特征[J]. 内蒙古农业大学,2017,33(6):1301-1308.
APA	韩刚.,李瑞平.,王思楠.,田鑫.,胡勇平.,...&孙燕.(2017).基于多尺度遥感数据的荒漠化草原旱情监测及时空特征.江苏农业学报,33(6),1301-1308.
MLA	韩刚,et al."基于多尺度遥感数据的荒漠化草原旱情监测及时空特征".江苏农业学报 33.6(2017):1301-1308.