Arid
DOI10.3808/jei.201300237
Drought Mapping Using Two Shortwave Infrared Water Indices with MODIS Data under Vegetated Season
Zhao, S. H.1; Wang, Q.1; Zhang, F.1; Yao, Y. J.2; Qin, Q. M.3; You, L.4; Li, J. P.5; Li, Z. J.6; Wu, Y. T.1; Liu, S. H.1; Li, Y.1
通讯作者Zhang, F.
来源期刊JOURNAL OF ENVIRONMENTAL INFORMATICS
ISSN1726-2135
EISSN1684-8799
出版年2013
卷号21期号:2页码:102-111
英文摘要

Drought monitoring is a critical element for agricultural production, food security; water resource management, sustainable development, and a healthy environment. In this study, shortwave infrared (SWIR) bands with strong water absorption features were used to establish a physically significant water stress index. Two types of indices including SWIR water stress index (SIWSI) and SWIR perpendicular water stress index (SPSI) were constructed using near-infrared (NIR) and SWIR bands. A representative (semi) arid region in the Ningxia Plain of northwestern China, where droughts are frequent, was used to assess the state of dryness using the SIWSI and SPSI indices derived from NIR channel 2 (858 nm) and SWIR channel 6 (1640 nm) or channel 7 (2130 nm) of moderate-resolution imaging spectroradiometer (MODIS) sensor in combination with ground measurements. Fitted regressions indicate significant correlations (P < 0.01) among both indices with the in-situ measurements. Generally, larger indices indicate drier lands, and correlations in the 10-cm range were better than those in the 20-cm range. Although SIWSI6, 2 (r2 = 0.75, 0.74) performs slightly better than SIWSI7, 2 (r2 = 0.73, 0.71), SPSI6, 2 (r2 = 0.70, 0.69) performs marginally weaker than SPSI7, 2 (r2 = 0.76, 0.74). Ultimately, all four indices reflected dry state under clear sky conditions in the Ningxia Plain.


英文关键词SWIR NIR SIWSI SPSI Ningxia Plain
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000322609100003
WOS关键词SURFACE-TEMPERATURE ; STRESS INDEX ; LAND-COVER ; SATELLITE ; DRYNESS ; REFLECTANCE ; SPACE ; TVDI
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构北京师范大学 ; 北京大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/178267
作者单位1.Minist Environm Protect, Satellite Environm Ctr, State Environm Protect Key Lab Satellite Remote S, Beijing 100094, Peoples R China;
2.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China;
3.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China;
4.Ningbo Planning & Geog Informat Ctr, Ningbo 315042, Zhejiang, Peoples R China;
5.Ningxia Prov Inst Meteorol, Yinchuan 750002, Peoples R China;
6.Chinese Acad Sci, Inst Elect, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Zhao, S. H.,Wang, Q.,Zhang, F.,et al. Drought Mapping Using Two Shortwave Infrared Water Indices with MODIS Data under Vegetated Season[J]. 北京师范大学, 北京大学,2013,21(2):102-111.
APA Zhao, S. H..,Wang, Q..,Zhang, F..,Yao, Y. J..,Qin, Q. M..,...&Li, Y..(2013).Drought Mapping Using Two Shortwave Infrared Water Indices with MODIS Data under Vegetated Season.JOURNAL OF ENVIRONMENTAL INFORMATICS,21(2),102-111.
MLA Zhao, S. H.,et al."Drought Mapping Using Two Shortwave Infrared Water Indices with MODIS Data under Vegetated Season".JOURNAL OF ENVIRONMENTAL INFORMATICS 21.2(2013):102-111.
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