Remotely sensed drought index and its responses to meteorological drought in Southwest China

Wang, Hongshuo; Lin, Hui; Liu, Desheng

doi:10.1080/2150704x.2014.912768

Cited by 58 publications

(24 citation statements)

References 26 publications

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“…Results showed R 2 between satellite‐based VHI and SPI G above 0.5 in 58, 70, and 44% of rainfall stations for, SPI G ‐3, SPI G ‐6, and SPI G ‐12, respectively, with p < 0.05. This result is similar to previous studies in Southwest China, which showed that the effects of droughts on the VHI signal were time‐lagged from 3 to 6 months (Wang et al, ). Therefore, SPI adjusted was estimated from VHI based on the regression determined for SPI G ‐6.…”

Section: Resultssupporting

confidence: 92%

Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast

Cunha

Tomasella

Neto

et al. 2018

Atmospheric Science Letters

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In Northeast Brazil (NEB), severe droughts have high socioeconomic impacts. In this study, the spatial–temporal characteristics of drought were evaluated based on a new drought index at 4‐km spatial resolution, derived from regional empirical relationships between a remote sensing‐based index and rain‐gauge‐based standardized precipitation index (SPI), a well‐known drought meteorological index. This index was used to compare the spatial pattern of severe drought events (1982–1983, 1992–1993, 1997–1998, and 2012–2013) of the last 30 years. Strong El Niño related droughts were found to be generally spatially limited, affecting around 30% of NEB and concentrated in the northern part of the region, while 2012 drought, which was not El Niño related, was widespread, reaching 46% of NEB. These results stressed the importance of analyzing droughts at the subregion scale using data with higher spatial resolution. Statistically significant trends (p < 0.05) toward drier conditions detected in the SPI time‐series were linked to the tropical Atlantic Ocean warming trend, which result in an increased drought risk and social vulnerability in the region.

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Section: Resultssupporting

confidence: 92%

Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast

Cunha

Tomasella

Neto

et al. 2018

Atmospheric Science Letters

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“…Flood and drought events, caused by the extremely inter‐annual/seasonal variation of precipitation, occurred frequently in the study area. The frequency of extreme rainfall events has increased since the 1950s (Zhai et al ., ; Xu et al ., ; Fu et al ., ; Wang et al ., ). Specifically, more than 100 floods occurred in the Yunnan Province since 1950 and in Guizhou Province since 1980, respectively (Liu et al ., ).…”

Section: Discussionmentioning

confidence: 97%

Elevation‐dependent effects of climate change on vegetation greenness in the high mountains of southwest China during 1982–2013

Tao

Jie

et al. 2017

Intl Journal of Climatology

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Effects of climate change on vegetation greenness have attracted considerable attention in the context of global change; however, the dependence of such climatic effects on elevation remains poorly understood. In this study, we examine the relationship between vegetation greenness change and climate change and, in particular, characterize how this relationship changes with elevation in the high mountains of southwest China by using the remotely sensed normalized difference vegetation index (NDVI), and observed temperature and precipitation data sets for the period of 1982–2013. The results show that vegetation exhibited a greening trend (slope: 0.0008 year−1, p < 0.01) under climate warming (slope: 0.04 °C year−1, p < 0.01) and drying (slope: −2.47 mm year−1, p > 0.05). The vegetation greening and climate warming trends were stronger in the higher elevation plateaus than in the lower elevation mountains. Statistical analysis showed that temperature was the main driving factor on vegetation greening, and the driving effect was elevation‐dependent. A substantially more significant correlation between climate warming and vegetation greening was found in the higher elevation plateaus, which reveals a higher temperature sensitivity of these plateaus. In addition, a significant correlation between inter‐annual standard deviations of NDVI and precipitation during 1982–2013 was tracked over the entire study area.

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“…It could be found the most severe drought was recorded in the year of 2010 with several monthly regional-averaged SPEI approximating to −1.5. This severe drought has already been reported by numerous researches [27,28,35,[65][66][67]. The temporal evolution of SPI at 1-, 3-, 6-, 12-, and 24-month lags were also calculated (not shown), and its difference with SPEI at 1-and 3-month lags were shown in Figure 4.…”

Section: Multi-scale Patterns Of the Droughtmentioning

confidence: 99%

Use of the Standardized Precipitation Evapotranspiration Index (SPEI) to Characterize the Drying Trend in Southwest China from 1982–2012

Quan

et al. 2015

Remote Sensing

116

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Abstract:In this study, the Standardized Precipitation Evaporation Index (SPEI) was applied to characterize the drought conditions in Southwest China from 1982-2012. The SPEI was calculated by precipitation and temperature data for various accumulation periods. Based on the SPEI, the multi-scale patterns, the trend, and the spatio-temporal extent of drought were evaluated, respectively. The results explicitly showed a drying trend of Southwest China. The mean SPEI values at five time scales all decreased significantly. Some moderate and severe droughts were captured after 2005 and the droughts were even getting aggravated. By examining the spatio-temporal extent, the aggravating condition of drought was further revealed. To investigate the performance of SPEI, correlation analysis was conducted between SPEI and two remotely sensed drought indices: Soil Moisture Condition Index (SMCI) and Vegetation Condition Index (VCI). The comparison was also conducted with the Standardized Precipitation Index (SPI). The results showed that for both SMCI and VCI, the SPI and SPEI had approximate correlations with them. The SPEI could better monitor the soil moisture than the SPI in months with significant increase of temperature. The correlations between the VCI and SPI/SPEI were lower; nevertheless, the SPEI was slightly superior to the SPI.

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Remotely sensed drought index and its responses to meteorological drought in Southwest China

Cited by 58 publications

References 26 publications

Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast

Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast

Elevation‐dependent effects of climate change on vegetation greenness in the high mountains of southwest China during 1982–2013

Use of the Standardized Precipitation Evapotranspiration Index (SPEI) to Characterize the Drying Trend in Southwest China from 1982–2012

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