Paper
21 November 2012 Assessing the sensitivity of two new indicators of vegetation response to water availability for drought monitoring
Li Jia, Guangcheng Hu, Jie Zhou, Massimo Menenti
Author Affiliations +
Proceedings Volume 8524, Land Surface Remote Sensing; 85241A (2012) https://doi.org/10.1117/12.977416
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan
Abstract
Two new drought indicators based on satellite observations of vegetation index and land surface temperature, i.e. the Normalized Temperature Anomaly Index (NTAI) and the Normalized Vegetation Anomaly Index (NVAI) were applied to monitor drought events in different regions in China and India. We carried out this analysis for drought events with distinct duration, intensity and surface condition in 2006 in Sichuan-Chongqing, in 2009 in Inner-Mongolia (China) and in the Ganga basin (India) using the MODIS LST and NDVI data products and TRMM rainfall data for the period 2001 – 2010. Two newly proposed drought indicators NVAI and NTAI were evaluated against widely accepted indicators such as Precipitation Anomaly Percentage (PAP), Vegetation Condition Index (VCI) and Temperature Condition Index (TCI). The results show that NTAI and NVAI responded consistently to climate forcing. Long lasting rainfall anomalies led to severe drought and anomalies in rainfall, anomalies in NTAI appeared almost simultaneously and followed by negative anomaly in NVAI. The two new drought indicators NTAI and NVAI can distinguish the stages of drought evolution. The sensitivity of the indicators and of their anomalies to drought conditions and severity was also evaluated against drought assessments by operational drought monitoring services, documented how well the indicators meet expectations on the timely and reliable detection of environmental change.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Jia, Guangcheng Hu, Jie Zhou, and Massimo Menenti "Assessing the sensitivity of two new indicators of vegetation response to water availability for drought monitoring", Proc. SPIE 8524, Land Surface Remote Sensing, 85241A (21 November 2012); https://doi.org/10.1117/12.977416
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Cited by 6 scholarly publications.
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KEYWORDS
Vegetation

MODIS

Satellites

Remote sensing

Climatology

Clouds

Meteorology

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