EVALUATION OF INTEGRATED SURFACE DROUGHT INDEX (ISDI) VIA PRECIPITATION DATA AND SOIL MOISTURE

被引:0
作者
Zhou, Lei [2 ]
Wu, Jianjun [1 ]
Gong, Adu [1 ]
Zhang, Jianhui [2 ]
Liu, Ming [1 ]
Zhao, Lin [3 ]
Leng, Song [1 ]
Lu, Xin [2 ]
机构
[1] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, MOCA MOE, Beijing 100875, Peoples R China
[2] China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China
[3] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China
来源
2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年
基金
中国国家自然科学基金;
关键词
Agricultural drought; ISDI; soil moisture; precipitation;
D O I
10.1109/IGARSS.2013.6723416
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The constructed Integrated Surface Drought Index (ISDI) has been successfully used for drought monitoring in Mid-eastern China from 2000-2009. In this paper, the precipitation data observed at meteorological stations and soil moisture data (at 10cm, 20cm and 50cm depth) were used to further evaluate the ISDI characteristics for drought monitoring. Correlation analysis indicates that there is clear relationship between ISDI and soil moisture. ISDI has higher correlation with root zone soil moisture than surface and deeper soil moisture, which is crucial indicator for agricultural drought. Temporal trend analysis also shows that ISDI has consistent trend relationship with precipitation and soil moisture. Moreover, ISDI can get comparable results in different regions. The evaluation results provide further evidence of ISDI effectiveness for drought monitoring in Mid-eastern China.
引用
收藏
页码:2840 / 2843
页数:4
相关论文
共 11 条
[1]   Estimating soil moisture using remote sensing data: A machine learning approach [J].
Ahmad, Sajjad ;
Kalra, Ajay ;
Stephen, Haroon .
ADVANCES IN WATER RESOURCES, 2010, 33 (01) :69-80
[2]   Evaluation of multi-sensor semi-arid crop season parameters based on NDVI and rainfall [J].
Brown, Molly E. ;
de Beurs, Kirsten M. .
REMOTE SENSING OF ENVIRONMENT, 2008, 112 (05) :2261-2271
[3]   Temporal persistence and stability of surface soil moisture in a semi-arid watershed [J].
Cosh, Michael H. ;
Jackson, Thomas J. ;
Moran, Susan ;
Bindlish, Raiat .
REMOTE SENSING OF ENVIRONMENT, 2008, 112 (02) :304-313
[4]   Droughts [J].
Kallis, Giorgos .
ANNUAL REVIEW OF ENVIRONMENT AND RESOURCES, 2008, 33 :85-118
[5]   APPLICATION OF VEGETATION INDEX AND BRIGHTNESS TEMPERATURE FOR DROUGHT DETECTION [J].
KOGAN, FN .
NATURAL HAZARDS: MONITORING AND ASSESSMENT USING REMOTE SENSING TECHNIQUE, 1995, 15 (11) :91-100
[6]   A simulated soil moisture based drought analysis for the United States [J].
Sheffield, J ;
Goteti, G ;
Wen, FH ;
Wood, EF .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2004, 109 (D24) :1-19
[7]   SATELLITE REMOTE-SENSING OF DROUGHT CONDITIONS [J].
TUCKER, CJ ;
CHOUDHURY, BJ .
REMOTE SENSING OF ENVIRONMENT, 1987, 23 (02) :243-251
[8]   Scaling of soil moisture:: A hydrologic perspective [J].
Western, AW ;
Grayson, RB ;
Blöschl, G .
ANNUAL REVIEW OF EARTH AND PLANETARY SCIENCES, 2002, 30 :149-180
[9]  
Wilhite DA, 2000, ROUTLEDGE HAZARDS DI, P3
[10]   Establishing and assessing the Integrated Surface Drought Index (ISDI) for agricultural drought monitoring in mid-eastern China [J].
Wu, Jianjun ;
Zhou, Lei ;
Liu, Ming ;
Zhang, Jie ;
Leng, Song ;
Diao, Chunyuan .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2013, 23 :397-410