Validation of MODIS land surface temperature product as a drought indicator in China

被引：1

作者：

Yang Xi ^{[1
]}

Wu Jianjun ^{[1
]}

Shi Peijun ^{[1
]}

Xia Hong ^{[2
]}

机构：

[1] MCA & MOE, Acad Disaster Reduct & Emergency Management, Beijing, Peoples R China

[2] Beijing Normal Univ, Coll Resource & Technol, Beijing, Peoples R China

来源：

IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年

关键词：

drought monitoring; standardized thermal index; MODIS; North China Plain;

D O I：

10.1109/IGARSS.2007.4423559

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：

This paper, based on surface energy balance theory, examined the feasibility of drought monitoring by MODIS LST product. Maximum Value Compositing method, which is widely used in cloud-contaminated-data compositing, was examined with other two land surface temperature products, that is, maximum land surface temperature deviation from air temperature and standardized thermal index (STI). All three products were calculated and correlated with soil moisture condition. And we found that STI was the best choice for drought monitoring.

引用

页码：3337 / +

页数：2

共 6 条

[1] The current and potential operational uses of remote sensing to aid decisions on drought exceptional circumstances in Australia: a review [J].

McVicar, TR ;

Jupp, DLB .

AGRICULTURAL SYSTEMS, 1998, 57 (03) :399-468

[2] MODIS land surface temperature composite data and their relationships with climatic water budget factors in the central Great Plains [J].

Park, S ;

Feddema, JJ ;

Egbert, SL .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (06) :1127-1144

[3] Impacts of hydrologic soil properties on drought detection with MODIS thermal data [J].

Park, S ;

Feddema, JJ ;

Egbert, SL .

REMOTE SENSING OF ENVIRONMENT, 2004, 89 (01) :53-62

[4]

Wan Z., 2013, MODIS land surface temperature products users' guide

[5] Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data [J].

Wan, ZM ;

Zhang, YL ;

Zhang, QC ;

Li, ZL .

REMOTE SENSING OF ENVIRONMENT, 2002, 83 (1-2) :163-180

[6]

Zhao J., 1999, CHINESE GEOGRAPHY

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