Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI); 21-year drought monitoring in Iran using satellite imagery within Google Earth Engine
Visualitza/Obre
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hdl:2117/366771
Tipus de documentArticle
Data publicació2021-12
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Abstract
Remote Sensing (RS) offers efficient tools for drought monitoring, especially in countries
with a lack of reliable and consistent in-situ multi-temporal datasets. In this study, a novel RS-
based Drought Index (RSDI) named Temperature-Vegetation-soil Moisture-Precipitation
Drought Index (TVMPDI) was proposed. To the best of our knowledge, TVMPDI is the first
RSDI using four different drought indicators in its formulation. TVMPDI was then validated and
compared with six conventional RSDIs including VCI, TCI, VHI, TVDI, MPDI and TVMDI. To
this end, precipitation and soil temperature in-situ data have been used. Different time scales of
meteorological Standardized Precipitation Index (SPI) index have also been used for the validation 2
of the RSDIs. TVMPDI was highly correlated with the monthly precipitation and soil temperature
in-situ data at 0.76 and 0.81 values respectively. The correlation coefficients between the RSDIs
and 3-month SPI ranged from 0.07 to 0.28, identifying the TVMPDI as the most suitable index for
subsequent analyses. Since the proposed TVMPDI could considerably outperform the other
selected RSDIs, all spatiotemporal drought monitoring analyses in Iran were conducted by
TVMPDI over the past 21 years. In this study, different products of the Moderate Resolution
Imaging Spectrometer (MODIS), Tropical Rainfall Measuring Mission (TRMM), and Global
Precipitation Measurement (GPM) datasets containing 15206 images were used on the Google
Earth Engine (GEE) cloud computing platform. According to the results, Iran experienced the most
severe drought in 2000 with a 0.715 TVMPDI value lasting for almost two years. Conversely, the
TVMPDI showed a minimum value equal to 0.6781 in 2019 as the lowest annual drought level.
The drought severity and trend in the 31 provinces of Iran have also been mapped. Consequently,
various levels of decrease over the 21 years were found for different provinces, while Isfahan and
Gilan were the only provinces showing an ascending drought trend (with a 0.004% and 0.002%
trendline slope respectively). Khuzestan also faced a worrying drought prevalence that occurred
in several years. In summary, this study provides updated information about drought trends in Iran
using an advanced and efficient RSDI implemented in the cloud computing GEE platform. These
results are beneficial for decision-makers and officials responsible for environmental
sustainability, agriculture and the effects of climate change.
CitacióMirmazloumi, S. Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI); 21-year drought monitoring in Iran using satellite imagery within Google Earth Engine. "Advances in space research", Desembre 2021, vol. 68, núm. 11, p. 4573-4593.
ISSN0273-1177
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Fitxers | Descripció | Mida | Format | Visualitza |
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Revised-Drought monitoring in Iran-Manuscript.pdf | 3,534Mb | Visualitza/Obre |