Development of Integrated Crop Drought Index by Combining Rainfall, Land Surface Temperature, Evapotranspiration, Soil Moisture, and Vegetation Index for Agricultural Drought Monitoring

Lee, Soojin; Kim, Nari; Lee, Yang-Won

doi:10.3390/rs13091778

Cited by 24 publications

(9 citation statements)

References 69 publications

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“…The most widely used drought indicator is the actual precipitation, represented as a percentage variation from normal (or long-term average), although it has limited use/reliability for regional comparison due to its reliance on the mean [73]. According to Ye et al [74], the SPI reflects a deviation from the mean and is thus expressed as a normalized index in time and space in standard deviation units.…”

Section: Discussionmentioning

confidence: 99%

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Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)

et al. 2021

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Droughts are one of the world’s most destructive natural disasters. In large regions of Africa, droughts can have strong environmental and socioeconomic impacts. Understanding the mechanism that drives drought and predicting its variability is important for enhancing early warning and disaster risk management. Taking North and West Africa as the study area, this study adopted multi-source data and various statistical analysis methods, such as the joint probability density function (JPDF), to study the meteorological drought and return years across a long term (1982–2018). The standardized precipitation index (SPI) was used to evaluate the large-scale spatiotemporal drought characteristics at 1–12-month timescales. The intensity, severity, and duration of drought in the study area were evaluated using SPI–12. At the same time, the JPDF was used to determine the return year and identify the intensity, duration, and severity of drought. The Mann-Kendall method was used to test the trend of SPI and annual precipitation at 1–12-month timescales. The pattern of drought occurrence and its correlation with climate factors were analyzed. The results showed that the drought magnitude (DM) of the study area was the highest in 2008–2010, 2000–2003, and 1984–1987, with the values of 5.361, 2.792, and 2.187, respectively, and the drought lasting for three years in each of the three periods. At the same time, the lowest DM was found in 1997–1998, 1993–1994, and 1991–1992, with DM values of 0.113, 0.658, and 0.727, respectively, with a duration of one year each time. It was confirmed that the probability of return to drought was higher when the duration of drought was shorter, with short droughts occurring more regularly, but not all severe droughts hit after longer time intervals. Beyond this, we discovered a direct connection between drought and the North Atlantic Oscillation Index (NAOI) over Morocco, Algeria, and the sub-Saharan countries, and some slight indications that drought is linked with the Southern Oscillation Index (SOI) over Guinea, Ghana, Sierra Leone, Mali, Cote d’Ivoire, Burkina Faso, Niger, and Nigeria.

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Section: Discussionmentioning

confidence: 99%

“…Long records provide more trustworthy statistics for the SPI. As a result of the availability of such data records, the SPI has gained traction as a potential drought indicator in recent years, allowing for comparisons across different precipitation zones [73,74].…”

Section: Discussionmentioning

confidence: 99%

Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)

et al. 2021

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“…Moreover, in this year the population of the mites increased faster than the normal years 2007 and 2009. Lee et al (2021) believe that an increase in temperature towards optima usually accelerates the immature developmental stages and increases the chances of insects survival. Different researchers reported a dome-shaped relation between temperature and spider mites performances, in which the population growth parameters of the spider mites such as developmental rate, survival, reproduction, and longevity increased by increasing the temperature up to optimum temperature (Riahi et al, 2013 ;El-Halawany & Abdel-wahed, 2013;Saeidi & Nemati, 2017).…”

Section: Impact Of Drought and Temperature On The Outbreak Of Spider ...mentioning

confidence: 99%

Influence of drought and temperature on population density of two species of spider mites and their predator Scolothrips longicornis in almond orchards

Saeidi¹

2023

J. Entomol. Soc. Iran

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High temperatures and low-humidity are the favorable conditions for spider mites, Tetranychus urticae Koch and Schizotetranychus smirnovi Wainstein, to cause serious threat to quality and quantity of almond. This study was undertaken to understand population changes of the spider mites during the normal and dry years and to predict the possibility of the pest outbreak in order to develop a successful integrated management strategy. Population fluctuations of S. smirnovi and T. urticae were studied on almond (Mamaei variety), from April to October of 2007-2009, in Saman orchards, Chaharmahal and Bakhtiari province, Iran. Meteorological data of three nearest synoptic stations including Saman, Zaman khan and Shahre-kord were collected from the Chaharmahal and Bakhtiari meteorological organization. The Standardized Precipitation Index (SPI) was used to detect meteorological droughts based on the monthly rainfall input data of three synoptic stations. The results showed the year 2008 as an extremely dry year, while revealing 2007 and 2009 as normal years. Comparison of spider mite population density in this year (SPI < -2) with the normal years, 2007 (SPI = -0.53) and 2009 (SPI= 0.41), showed a significant increase in the population density of S. smirnovi, (14.65 and 2.95 times) and T. urticae (7.28 and 2.87 times) compared to 2007 and 2009, respectively. Spearman's correlation analysis showed significant negative correlation of mean precipitation with population density of, S.smirnovi, (r = -0.65, p=0.022), T. urticae (r = -0.73, p=0.0001), and the predatory thrips, Scolothrips longicornis Priesner, (r = -0.67, p=0.0001) during three studied years. In the drought year, the phytophagous mite's population increased in response to high temperatures and low humidity. In a such year, the almond trees can be more vulnerable to mite damages and control is necessary.

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“…To improve the approach, combining vegetation index and temperature is recommended. Combined NDVI and ground surface temperature (ESG) provide a strong correlation and valuable information for identifying agricultural drought as an early warning system (Lee et al, 2021;Olii et al, 2022). Some vegetation indices for drought monitoring using remote sensing data have been introduced.…”

Section: Introductionmentioning

confidence: 99%

Agricultural Droughts Monitoring of Aceh Besar Regency Rice Production Center, Aceh, Indonesia – Application Vegetation Conditions Index Using Sentinel-2 Image Data

Sugianto¹,

Rusdi²,

Budi³

et al. 2023

J. Ecol. Eng.

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Monitoring the agricultural drought of paddy rice fields is a crucial aspect of preparing for proper action in maintaining food security in Indonesia. The Aceh Province is one of Indonesia's national rice production centers, especially Aceh Besar Regency; it includes three central districts; Indrapuri, Kuta Cot Glie, and Seulimeum. Satellite-Sentinel 2A data have been tested to monitor the drought levels of around 2,803 Ha in the three districts in this study. This study aimed to determine the drought level in Indrapuri, Kuta Cot Glie, and Seulimeum districts, Aceh Besar Regency's paddy rice fields using Sentinel-2A data imagery. The vegetation conditions index (VCI) of Sentinel-2 data was utilized to identify a vegetative drought level in the area for the 2018, 2019, 2020, 2021, and 2022 growing seasons. The vegetation inertia index is derived from the Normalized Difference Vegetation Index (NDVI). The results show that the VCI looked volatile, but the trendline increased by four percent, from 92.56 in July 2019 to 96.08 in July 2021. Most areas on the dates investigated found that the no drought category was still dominant. The designated data analyzed found that the June 2022 data tend to be distributed to the drought in extreme, severe, moderate, and mild increases compared to the previous data investigated. This figure shows an increasing drought in the study area, and the average drought index is in the category of mild drought. In addition, there has been a trendline decline in the value of NDVI in recent years, causing agricultural land for paddy rice fields to be slightly vulnerable to drought.

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Development of Integrated Crop Drought Index by Combining Rainfall, Land Surface Temperature, Evapotranspiration, Soil Moisture, and Vegetation Index for Agricultural Drought Monitoring

Cited by 24 publications

References 69 publications

Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)

Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)

Influence of drought and temperature on population density of two species of spider mites and their predator Scolothrips longicornis in almond orchards

Agricultural Droughts Monitoring of Aceh Besar Regency Rice Production Center, Aceh, Indonesia – Application Vegetation Conditions Index Using Sentinel-2 Image Data

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