Drought trend analysis in a semi-arid area of Iraq based on Normalized Difference Vegetation Index, Normalized Difference Water Index and Standardized Precipitation Index

Al-Quraishi, Ayad M. Fadhil; Gaznayee, Heman Abdulkhaleq A.; Crespi, Mattia

doi:10.1007/s40333-021-0062-9

Cited by 27 publications

(23 citation statements)

References 35 publications

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“…The commonly used water body indexes include the normalized difference water body index (NDWI), the improved normalized difference water body index (MNDWI) and the enhanced water body index (EWI). Among these, EWI has the best effect on extracting water in semi-arid areas [36,37]. Meanwhile, in 2013, Gaofen-1 satellite was launched and put into use.…”

Section: Water Index Methodsmentioning

confidence: 99%

Temporal and Spatial Evolution of Eichmann Lake Wetland in Aksu River Basin and Its Response to Ecological Water Supply

Nie

Chen

Wang³

et al. 2022

IJERPH

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Timely understanding and quantitative analysis of the changing trend in natural ecosystems in arid and semi-arid areas and their response to the ecological water supply process are of great significance for maintaining the health of oasis ecosystems. Taking the Eichmann Lake wetland of the Aksu River Basin in Xinjiang as the research area, the temporal-spatial distribution characteristics of the lake and the response of ecological water in recent years were studied based on remote sensing images and monitoring data. The results show that: (1) The water surface area of Eichmann Lake is shrinking, from 61.57 km2 in 1996 to 27.76 km2 in 2020. The changes in water surface area have experienced three stages: rapid decline, slow decline, and slow recovery. After the ecological water supply, the water surface area has obvious seasonal changes with hysteresis; (2) In areas with a low average water level, the ecological water supply has a significant impact on the groundwater level. The higher the water supply is, the higher the groundwater level will be. There is a significant lag effect between the change in the groundwater level and the response of the ecological water supply, which is 1–2 months; (3) The response characteristics of different natural vegetation to the ecological water supply were different in interannual, seasonal, and spatial contexts. The response of Populus euphratica to the ecological water supply is obvious, and its growth is the best within the range of 100–500 m from the water supply outlet. This research can provide the basis for the rational allocation of the Aksu River Basin’s water resources, and also act as a valuable reference for the restoration and reconstruction of surrounding vegetation in the Aksu River irrigation area.

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Section: Water Index Methodsmentioning

confidence: 99%

Temporal and Spatial Evolution of Eichmann Lake Wetland in Aksu River Basin and Its Response to Ecological Water Supply

Nie

Chen

Wang³

et al. 2022

IJERPH

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“…The human visual system experiences an enormous arrangement of biometric qualities that permit them to identify biomedical images without conscious exertion. It is complex to provide this capacity to a machine (Al-Quraishi, 2021). Biometric ID systems are valuable in different applications like medical, commercial, and law enforcement applications.…”

Section: Introductionmentioning

confidence: 99%

“…classifying clinical images is fundamental In an assortment of uses including PC-supported analysis frameworks (CADS). Clinical imaging modalities like microscopy, ultrasound, dermoscopy, X-beam, CT, MRI, and positron outflow tomography (PET) have seen a lot of progression and improvement, which urges investigation to do novel clinical image analyzing methods (Al-Quraishi, 2021). The most essential medical imaging methodology, Image partition, remove the region of interest (ROI) by a self-loader or programmed process.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study for Evaluating the Performance of Various Classification Techniques on Brain Tumour

Koçer¹,

JAMA²,

Dündar³

2022

fivezero

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Image processing methods have become consistently used approaches in a wide variety of applications with modern technology devices. Image classification and segmentation is a common topic in computer vision as well as a backbone and focal point in image processing approaches. Biometric and biomedical image processing are two of the most common examples of image processing applications that we have seen over the past two decades. in medicine, there is a great need for modern imaging technology algorithms that can be used to detect the internal organs of the human body in the process of disease diagnosis. To this end, researchers are working every day to develop new methods or improve existing methods that will help in efforts to improve human life and health. in this study, a comparative study was conducted to evaluate the performance of different types of machine learning classification algorithms on brain tumor images. According to the result obtained, the performance of the models differs in the accuracy of their classification capabilities. Different performance measurements are used during the evaluation and interpretation of the results and the results obtained are presented in the comparison table in the results section. Six classification models are used, which are mainly used in the field of Machine Learning (ML) and Artificial Intelligence (AI). Future studies may increase the comparison techniques by adding other classification and clustering techniques to study the effectiveness of each technique in the classification operation of medical images.

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“…Lack of rainfall over a long period of time leads to drought (Fadhil, 2011). Drought can negatively affect soil moisture, groundwater, rivers, ecosystems, and human activities depending on the duration and severity of the precipitation deficiency (Smakhtin & Hughes, 2004;Al-Quraishi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Drought Analysis in Somalia Using GIS - Based on Reconnaissance Drought Index (RDI) and Standardized Precipitation Index (SPI)

Mohamed

Cemek²,

Küçüktopcu³

et al. 2022

Afr. j. clim. chang. resour. sustain.

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As a result of climate change, Somalia has experienced severe droughts in recent decades because Somalia is a water-scarce country in East Africa with arid and semi-arid environments. In this study, drought in Somalia from 2010 to 2021 was investigated. For this purpose, the agroclimatological data consisting of precipitation, air temperature, and potential evapotranspiration (ETp) were obtained and calculated in DrinC software. The Reconnaissance Drought Index (RDI) and Standardized Precipitation Index (SPI) were used as meteorologically based to measure drought severity and analyse the variability of drought events in Somalia during the last decade. Most years experienced rainfall deficits and severe drought in the study area, but the worst years were 2010-2011 and 2016-2017. The results of the RDI and SPI variations showed that drought was most severe in 2016-2017 and 2010-2011, with the south-eastern region being the most severely affected. The results of this analysis should provide valuable guidance to future scientists, researchers, and national managers researching this topic.

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Drought trend analysis in a semi-arid area of Iraq based on Normalized Difference Vegetation Index, Normalized Difference Water Index and Standardized Precipitation Index

Cited by 27 publications

References 35 publications

Temporal and Spatial Evolution of Eichmann Lake Wetland in Aksu River Basin and Its Response to Ecological Water Supply

Temporal and Spatial Evolution of Eichmann Lake Wetland in Aksu River Basin and Its Response to Ecological Water Supply

A Comparative Study for Evaluating the Performance of Various Classification Techniques on Brain Tumour

Drought Analysis in Somalia Using GIS - Based on Reconnaissance Drought Index (RDI) and Standardized Precipitation Index (SPI)

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