干旱区生态环境知识资源中心(Arid): VIIRS-TVDI法反演干旱区农田土壤湿度

Arid

	VIIRS-TVDI法反演干旱区农田土壤湿度
其他题名	Evaluating soil moisture of prime farmland using the VIIRS-TVDI in arid Land
	武彬 1; 张清 2; 李希灿 1; 田野 1; 郑玉彬 3
来源期刊	干旱区地理
ISSN	1000-6060
出版年	2016
卷号	39 期号:4 页码:861-867
中文摘要	通过在国内首次使用MODIS/AVHRR的后继VIIRS产品,依其每日地表反射率产品(GIGTO-VIl~5BO)计算NDVI,结合每日陆表温度产品(GMTCO-VLSTO),计算新疆农七师125团2015年6月29日~7月10日的TVDI结果,利用同期地面实测土壤含水率进行验证,R~2==0.846,两者之间不相关的双尾检验值>0.001。结果表明:构建的土壤湿度模型对农田土壤含水率有较好的反应,并将该模型推广到全天山北坡经济带地区。利用VIIRS数据构建的TVDI特征空间表现优秀,拟合结果良好;该数据因其自身幅宽、高时间分辨率等优势,应用于新疆农田土壤湿度监测,具有一定优势,可弥补VIIRS产品在我国该领域使用的空白。
英文摘要	Soil moisture plays a significant role in agricultural monitoring and yield estimation. Monitoring soil moisture by remote sensing features such merits as fast effectiveness,strong dynamic contrast and large monitoring areas. Meanwhile, TVDI integrates the reaction of both vegetation growth state and land surface temperature to soil moisture,thus satisfying the demand of this study. The VIIRS,sensor carried by Suomi NPP,as the successor of MODIS/AVHRR, has not been used in soil moisture monitoring in domestic yet. VIIRS sensor data EDR daily surface reflectance product(GIGTO-VI1 ?5BO) is studied in this paper and the normalized differential vegetation index (NDVI) of the Regiment 125 of the Agricultural Division 7,the Xinjiang Production and Construction Corps,at Kuitun City,Xinjiang,China from June 29 to July 10,2015 is calculated. In addition, temperature vegetation dryness index (TVDI) is optimized and dry and wet edges are extracted to form characteristic space based on the EDR daily land surface temperature product (GMTCO-VLSTO) so as to calculate TVDI results. In the TVDI feature space,when NDVI is less than 0.1,TVDI cannot response soil moisture condition with no vegetation coverage; 0.1 < NDVI < 0.7, respectively, Ts_(max) and Ts_(min) value decrease and increase with the increase of the vegetation coverage; 0.7 < NDVI, the sensitivity of TVDI is reduced, owning to the saturated NDVI. The measured ground soil moisture content data in the same period are adopted for verification and this model is promoted to the economic belt regions in the whole north slope of Tianshan Mountains. The study results show as follows: (1) The correlation index R2 between TVDI result and measured ground data is 0.846; the uncorrelated two-tailed test value between them is smaller than 0.001. The soil moisture model built has sound reaction to water content in unsaturated farmland soil; (2) The characteristic space built shows excellent performance and the dry and wet edges are superior in conforming to theoretical triangular space distribution with better fitting result compared with the previously studied AVHRR/MODIS data; (3) The large breadth and fine-time resolution ratio of VIIRS data further improves timeliness of data processing in large area monitoring; only with 1-4 images can all areas in Xinjiang be completely covered for daily monitoring. This paper pioneers in China in the application of VIIRS sensor data product to realize soil moisture monitoring. This sensor, as an upgrade of AVHRR/MODIS sensor, has been optimized in performance, wave band setting and product format, thus rendering it with better performance. MODIS sensor is designed to serve until 2020s, thus the status of the VIIRS products will rise in the future. Therefore, the monitoring on soil water content in Xinjiang fields could be further strengthened with the application of VIIRS-TVDI to monitor soil moisture and is of certain practical value, which will fill a vacancy in the use of VIIRS data.
中文关键词	土壤含水量 ; 温度植被干旱指数 ; 新疆
英文关键词	VIIRS soil moisture VIIRS TVDI Xinjiang
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:5763232
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/234255
作者单位	1.山东农业大学信息学院, 泰安, 山东 271018, 中国; 2.中国科学院遥感与数字研究所, 北京 100094, 中国; 3.新疆应用职业技术学院, 奎屯, 新疆 833200, 中国
推荐引用方式 GB/T 7714	武彬,张清,李希灿,等. VIIRS-TVDI法反演干旱区农田土壤湿度[J],2016,39(4):861-867.
APA	武彬,张清,李希灿,田野,&郑玉彬.(2016).VIIRS-TVDI法反演干旱区农田土壤湿度.干旱区地理,39(4),861-867.
MLA	武彬,et al."VIIRS-TVDI法反演干旱区农田土壤湿度".干旱区地理 39.4(2016):861-867.