Drought monitoring and analysis in China based on the Integrated Surface Drought Index (ISDI)

Wu, Jianjun; Zhou, Ling; Mo, Xun; Zhou, Huakun; Zhang, Jie; Jia, Ruijing

doi:10.1016/j.jag.2015.04.006

Cited by 50 publications

(20 citation statements)

References 31 publications

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“…Consequently, the stoma on crop leaves tend to close to decrease water loss from the canopy, which leads to an apparent increase of temperature in the fields. Therefore, by using the relationship between the canopy temperature change and the soil water supply in the fields, it is possible to develop an approach for drought monitoring (Gao et al, 2008;Wu et al, 2015).…”

Section: Vegetation Supply Water Index (Vswi) Calculationmentioning

confidence: 99%

Monitoring vegetative drought dynamics in the Brazilian semiarid region

Cunha

Alvalá

Nobre

et al. 2015

Agricultural and Forest Meteorology

173

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Section: Vegetation Supply Water Index (Vswi) Calculationmentioning

confidence: 99%

Monitoring vegetative drought dynamics in the Brazilian semiarid region

Cunha

Alvalá

Nobre

et al. 2015

Agricultural and Forest Meteorology

173

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“…Some of the global systems, such as GIDMaPS can be applied for country scale assessment as well, and indices in these systems have also been applied for a long time, for example in China (Kogan et al, 2005;Zou et al, 2005;Yu et al, 2014;Zhang et al, 2016). Further, new drought indices also have been proposed for drought monitoring in China, including Drought Severity Index (DSI; Su et al, 2003), Modified Perpendicular Drought Index (MPDI; Ghulam et al, 2007), Optimized Meteorological Drought Index (OMDI; Hao et al, 2015), and Integrated Surface Drought Index (ISDI; Wu et al, 2015). Building on the need for more perspectives on drought, our broader goal is to develop a novel drought monitoring system based on a new drought monitoring framework and index.…”

Section: Introductionmentioning

confidence: 99%

Multi-sensor integrated framework and index for agricultural drought monitoring

Zhang

Chen

et al. 2017

Remote Sensing of Environment

127

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Agricultural drought is a complex and insidious natural hazard further complicated by crop impacts. Univariate, bivariate, and multivariate drought analyses have achieved some success, but the analysis of agricultural drought evolution and integration with crop growth is still lacking. In this study, an Evolution Process-based Multi-sensor Collaboration (EPMC) framework was proposed with the realization that effective agricultural drought assessment requires an integrated approach that considers both drought development and crop phenology. The Process-based Accumulated Drought Index (PADI) was designed to quantify the accumulative drought impacts on crops. Based on discrete monitoring of precipitation, soil moisture, and vegetation conditions, EPMC extracted four main agricultural drought evolution phases termed: (i)

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“…China is one of the most densely populated agricultural countries in the world. Periods after 2009 witnessed frequent extreme droughts in most parts of China, and also, huge losses were inflicted on crop yields (e.g., Wang et al, ; Wu et al, ). The eastern part of China accounts for more than 70% of the total population of the country (e.g., Zhu et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…Warming climate is believed to be accelerating the global hydrological cycle (Allen & Ingram, 2002), which is modifying precipitation regimes in both space and time and hence enhancing weather and hydrological extremes (Easterling et al, 2000) as manifested by increased occurrences of floods and droughts (e.g., China is one of the most densely populated agricultural countries in the world. Periods after 2009 witnessed frequent extreme droughts in most parts of China, and also, huge losses were inflicted on crop yields (e.g., Wang et al, 2014;Wu et al, 2015). The eastern part of China accounts for more than 70% of the total population of the country (e.g., Zhu et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Multisource Data‐Based Integrated Agricultural Drought Monitoring in the Huai River Basin, China

et al. 2017

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Drought monitoring is critical for early warning of drought hazard. This study attempted to develop an integrated remote sensing drought monitoring index (IRSDI), based on meteorological data for 2003–2013 from 40 meteorological stations and soil moisture data from 16 observatory stations, as well as Moderate Resolution Imaging Spectroradiometer data using a linear trend detection method, and standardized precipitation evapotranspiration index. The objective was to investigate drought conditions across the Huai River basin in both space and time. Results indicate that (1) the proposed IRSDI monitors and describes drought conditions across the Huai River basin reasonably well in both space and time; (2) frequency of drought and severe drought are observed during April–May and July–September. The northeastern and eastern parts of Huai River basin are dominated by frequent droughts and intensified drought events. These regions are dominated by dry croplands, grasslands, and highly dense population and are hence more sensitive to drought hazards; (3) intensified droughts are detected during almost all months except January, August, October, and December. Besides, significant intensification of droughts is discerned mainly in eastern and western Huai River basin. The duration and regions dominated by intensified drought events would be a challenge for water resources management in view of agricultural and other activities in these regions in a changing climate.

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Drought monitoring and analysis in China based on the Integrated Surface Drought Index (ISDI)

Cited by 50 publications

References 31 publications

Monitoring vegetative drought dynamics in the Brazilian semiarid region

Monitoring vegetative drought dynamics in the Brazilian semiarid region

Multi-sensor integrated framework and index for agricultural drought monitoring

Multisource Data‐Based Integrated Agricultural Drought Monitoring in the Huai River Basin, China

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