AVHRR-based vegetation and temperature condition indices for drought detection in Argentina

被引：60

作者：

Seiler, RA

Kogan, F

Sullivan, J

机构：

[1] Univ Nacl Rio Cuarto Ruta, CONICET, RA-5800 Rio Cuarto, Cba, Argentina

[2] NOAA, NESDIS, Satellite Res Lab, Camp Springs, MD 20746 USA

来源：

REMOTE SENSING: INVERSION PROBLEMS AND NATURAL HAZARDS | 1998年 / 21卷 / 03期

关键词：

D O I：

10.1016/S0273-1177(97)00884-3

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The AVHRR-based Vegetation Condition Index (VCI) and Temperature Condition Index (TCT) have been developed and successfully used for monitoring drought in the USA., the Former Soviet Union, Zimbabwe, and China. This research was designed to apply and validate those indices for drought detection and impact assessment on agricultural yields in Cordoba province of Argentina. Seventy one percent of corn yield variability was explained by the spectral indices averaged over January and February. The VCI and TCI were useful to assess the spatial characteristics, the duration and severity of drought, and were in a good agreement with precipitation patterns. (C) 1998 COSPAR. Published by Elsevier Science Ltd.

引用

页码：481 / 484

页数：4

共 15 条

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