2023
DOI: 10.1109/jstars.2023.3237380
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Assessment of Spatiotemporal Characteristic of Droughts Using In Situ and Remote Sensing-Based Drought Indices

Abstract: Drought has been identified as one of the significant complicated natural disasters exacerbated by land degradation and climate change. Hence, monitoring drought and evaluating its spatiotemporal dynamics are essential to manage regional drought conditions and protecting the natural environment. In this study, various single remote sensing-based drought indices including soil moisture condition index (SMCI), precipitation condition index (PCI), temperature condition index (TCI), and vegetation condition index … Show more

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Cited by 30 publications
(10 citation statements)
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“…and it is shown in Table 3. In the formula the NDVIi is the smoothed 16-day NDVIi, NDVI min and NDVI max defined as minimum and maximum values of NDVIi for all pixels and periods and i is based on the monthly scales (Jalayer s. et al 2023). VCI Drought Categories are shown in crops being treated with moisture stress and drought.…”
Section: Methodsmentioning
confidence: 99%
“…and it is shown in Table 3. In the formula the NDVIi is the smoothed 16-day NDVIi, NDVI min and NDVI max defined as minimum and maximum values of NDVIi for all pixels and periods and i is based on the monthly scales (Jalayer s. et al 2023). VCI Drought Categories are shown in crops being treated with moisture stress and drought.…”
Section: Methodsmentioning
confidence: 99%
“…The MOD09GA_006 NDVI dataset, also acquired from the MODIS Terra satellite instrument, provides information on vegetation dynamics using NDVI. This dataset offers daily measurements at a spatial resolution of 463.313 m (Jalayer et al 2023 ). Over the 10-year duration, it yields a total of 3663 images.…”
Section: Study Area and Datamentioning
confidence: 99%
“…Then, the boundaries between various land-covers are usually soft and continue, and indeed, each point on the earth may belong to multiple types of land-covers [4,[7][8][9]. Due to the existence of this uncertainty type, fuzzy sets are being utilized in the expression of geographical phenomena [4,10]. Another uncertainty, named as inherent, exists in relation to measuring and sensing applications and sciences due to inaccurate measuring and problems in the collecting of data [7,10].…”
Section: Introductionmentioning
confidence: 99%
“…Due to the existence of this uncertainty type, fuzzy sets are being utilized in the expression of geographical phenomena [4,10]. Another uncertainty, named as inherent, exists in relation to measuring and sensing applications and sciences due to inaccurate measuring and problems in the collecting of data [7,10]. Some additional reasons such as related to sensor, geographical and atmospheric ones increase inherent uncertainty in satellite images case [6,11,12].…”
Section: Introductionmentioning
confidence: 99%