Note on the NDVI-LST relationship and the use of temperature-related drought indices over North America

被引：169

作者：

Sun, Donglian ^{[1
]}

Kafatos, Menas ^{[1
]}

机构：

[1] George Mason Univ, Dept Earth Syst & Geoinformat Sci, Fairfax, VA 22030 USA

来源：

GEOPHYSICAL RESEARCH LETTERS | 2007年 / 34卷 / 24期

关键词：

D O I：

10.1029/2007GL031485

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

[1] A comprehensive evaluation of the relationship between vegetation and Land Surface Temperature (LST) over the North America is presented. It is found that the correlations between LST and Normalized Difference Vegetation Index (NDVI) depend on the season-of-year and time-of-day. For winter, the correlation between NDVI and LST is positive. The strong negative correlations between LST and NDVI are only found during the warm seasons. Thus temperature-related drought indices may only be used in the warm seasons from May to October, and should be used with caution during cold seasons in North America. The cooling effect of vegetation on LST is stronger during daytime than nighttime. Moreover, the negative correlations between NDVI and LST are much stronger than those between NDVI and the brightness temperature. Therefore using daytime LST for drought monitoring should be more reasonable than using brightness temperature or nighttime LST.

引用

页数：4

共 27 条

[1] A comparative study of NOAA-AVHRR derived drought indices using change vector analysis [J].

Bayarjargal, Y. ;

Karnieli, A. ;

Bayasgalan, M. ;

Khudulmur, S. ;

Gandush, C. ;

Tucker, C. J. .

REMOTE SENSING OF ENVIRONMENT, 2006, 105 (01) :9-22

[2] A remote sensing study of the NDVT-Ts relationship and the transpiration from sparse vegetation in the sahel based on high-resolution satellite data [J].

Boegh, E ;

Soegaard, H ;

Hanan, N ;

Kabat, P ;

Lesch, L .

REMOTE SENSING OF ENVIRONMENT, 1999, 69 (03) :224-240

[3]

Carlson T. N., 1994, REMOTE SENS REV, V52, P45, DOI DOI 10.1080/02757259409532220

[4] Comments on the use of the vegetation health index over Mongolia [J].

Karnieli, A ;

Bayasgalan, M ;

Bayarjargal, Y ;

Agam, N ;

Khudulmur, S ;

Tucker, CJ .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (9-10) :2017-2024

[5] The effect of vegetation on surface temperature: A statistical analysis of NDVI and climate data [J].

Kaufmann, RK ;

Zhou, L ;

Myneni, RB ;

Tucker, CJ ;

Slayback, D ;

Shabanov, NV ;

Pinzon, J .

GEOPHYSICAL RESEARCH LETTERS, 2003, 30 (22) :CLM3-1

[6] Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices [J].

Kogan, F ;

Stark, R ;

Gitelson, A ;

Jargalsaikhan, L ;

Dugrajav, C ;

Tsooj, S .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (14) :2889-2896

[7]

Kogan FN, 1997, B AM METEOROL SOC, V78, P621, DOI 10.1175/1520-0477(1997)078<0621:GDWFS>2.0.CO

[8]

[9] REMOTE-SENSING OF WEATHER IMPACTS ON VEGETATION IN NONHOMOGENEOUS AREAS [J].

KOGAN, FN .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 1990, 11 (08) :1405-1419

[10] 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

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