A re-examination of perpendicular drought indices

被引:36
作者
Ghulam, Abduwasit [1 ]
Qin, Qiming [2 ]
Kusky, Timothy [1 ]
Li, Zhao-Liang [3 ,4 ]
机构
[1] St Louis Univ, Ctr Environm Sci, St Louis, MO 63103 USA
[2] Peking Univ, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China
[3] LSIIT, UMR7005, F-67400 Illkirch Graffenstaden, France
[4] Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
关键词
D O I
10.1080/01431160802235811
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In this letter, the performance of newly developed drought indices, the perpendicular drought index (PDI) and modified perpendicular drought index (MPDI), are further explored for regional surface dryness monitoring to provide clear guidance on appropriate implementation of these indices over different eco-systems through in-depth analysis of their advantages and constraints. Spatio-temporal patterns of surface drought derived by MODerate Resolution Imaging Spectroradiometer (MODIS)-based PDI and MPDI are compared against field-measured soil moisture (SM), rainfall, and regional hydrological conditions. Results indicate that there are significant negative correlations between the PDI, the MPDI, and mean 0-20cm SM content and rainfall. The PDI and the MPDI provide similar results at the early stage of vegetation growth, but a greater agreement between the drought information extracted by the MPDI and field measurements is observed for vegetated surfaces where the PDI fails. Therefore, it is recommended that PDI be used for bare soil applications, since it does not require calculation of additional information such as the fraction of vegetation which may contain some uncertainties, but the MPDI should be used for vegetated regions.
引用
收藏
页码:6037 / 6044
页数:8
相关论文
共 10 条
[1]  
BARET F, 1995, REMOTE SENS ENVIRON, V54, P14
[2]  
DAI A, 2005, AMS 16 S GLOB CHANG
[3]   Exploration of the spectral space based on vegetation index and albedo for surface drought estimation [J].
Ghulam, Abduwasit ;
Li, Zhao-Liang ;
Qin, Qiming ;
Tong, Qingxi .
JOURNAL OF APPLIED REMOTE SENSING, 2007, 1
[4]   Modified perpendicular drought index (MPDI): a real-time drought monitoring method [J].
Ghulam, Abduwasit ;
Qin, Qiming ;
Teyip, Tashpolat ;
Li, Zhao-Liang .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2007, 62 (02) :150-164
[5]   Designing of the perpendicular drought index [J].
Ghulam, Abduwasit ;
Qin, Qiming ;
Zhan, Zhiming .
ENVIRONMENTAL GEOLOGY, 2007, 52 (06) :1045-1052
[6]   COMBINING VEGETATION INDEXES AND SURFACE-TEMPERATURE FOR LAND-COVER MAPPING AT BROAD SPATIAL SCALES [J].
LAMBIN, EF ;
EHRLICH, D .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1995, 16 (03) :573-579
[7]   Evaluation of MODIS derived perpendicular drought index for estimation of surface dryness over northwestern China [J].
Qin, Q. ;
Ghulam, A. ;
Zhu, L. ;
Wang, L. ;
Li, J. ;
Nan, P. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2008, 29 (07) :1983-1995
[8]   A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status [J].
Sandholt, I ;
Rasmussen, K ;
Andersen, J .
REMOTE SENSING OF ENVIRONMENT, 2002, 79 (2-3) :213-224
[9]   Solar and anthropogenic forcing of tropical hydrology [J].
Shindell, Drew T. ;
Faluvegi, Greg ;
Miller, Ron L. ;
Schmidt, Gavin A. ;
Hansen, James E. ;
Sun, Shan .
GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (24)
[10]   A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the US central plains [J].
Tadesse, T ;
Brown, JF ;
Hayes, MJ .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2005, 59 (04) :244-253