Applying MNDWI index and linear directional mean analysis for morphological changes in the Zarriné-Rūd River

Moghaddam, Mohsen Esmaeilzadeh; Seddighi, Amir Saied; Fayyazi, Mohammad Ali

doi:10.1007/s12517-015-1795-6

Cited by 18 publications

(5 citation statements)

References 12 publications

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“…Linear directional mean (LDM) is centered on the average center of the centroids of all input vectors, and the length is equal to the average length of all input vectors ( 25 ). The final result has the average direction and average length of all input vectors, which are used to indicate the direction of the outbreak.…”

Section: Methodsmentioning

confidence: 99%

Spatio-temporal and trade export risk analysis of bluetongue disease in France: A case study of China

et al. 2022

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Bluetongue disease (BT) is a viral disease that can be introduced through imported animals and animal products, affecting local animal husbandry. In this study, the spatial and temporal patterns of BT outbreaks (outbreak: a BT infection in cattle, sheep, or goats on a farm, involving at least one infected animal) in France were analyzed and the risk of introducing bluetongue virus (BTV) into countries through trade was assessed. A spatiotemporal analysis of BT reported during the study period (2015–2018) showed that there were clustered outbreaks of BT in France in 2016 and 2017, with outbreaks concentrated from August to December. The outbreak moved eastward from the center of mainland France to surrounding countries. A semi-quantitative risk analysis framework was established by combining the likelihood assessment and consequence analysis of introducing BTV into trading countries through trade. Exemplified by China, the research showed that in the analysis of the likelihood of BTV from France being introduced into trading countries through live cattle trade, China imports a large number of live cattle, bringing high risks. The likelihood of introducing bovine semen into trading countries was similar to that of live cattle, but the harm caused by the trade in live cattle was higher than that caused by the trade in bovine semen. This risk analysis framework can provide a reference for other countries to quickly assess the risk of bluetongue transmission in import and export trade.

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Section: Methodsmentioning

confidence: 99%

Spatio-temporal and trade export risk analysis of bluetongue disease in France: A case study of China

et al. 2022

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“…The Modified Normalized Difference Water Index (MNDWI) was applied to discriminate water from land features. This method is one of the best methods with an accuracy rate of 99.85% [23] and also widely applied to mapping the water bodies [24][25][26][27]. MNDWI calculated by Eq.…”

Section: Image Processingmentioning

confidence: 99%

Detection of Coastline Changes using Multi-Temporal Satellite Images: A case study of Gianyar and Klungkung Regency, Bali

Hastuti

Suniada

Nagai

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Coastal areas are one of the essential regions for the ecosystem. Consequently, monitoring and detecting the changes of coastal areas is thus necessary in order to provide valuable information for future mitigation and adaptation. Recently, the utilization of satellite images for coastal areas has been used widely and effectively as a viable alternative to in-situ observation and monitoring. In this study, multi-temporal satellite imagery data from Sentinel-2 have been used to find out the changes in the coastal area of Gianyar and Klungkung Regency - Bali, considering the capability which has good resolution with a wide swath and high revisit time. Sentinel-2 imagery data taken from 2016 and 2019 at an interval of about 4 years were collected to determine coastline changes. There are two main steps to detect the coastline. First is image classification by supervised classification where each pixel has been labeled with one or three classes. And the second is to make border segmentation between sand and water by applying the Modified Normalized Difference Water Index (MNDWI). The areas that are experiencing erosion and accretion were determined by using the overlay method between two satellite images. Results show that about 9,248 m2 of coastline were eroded in Gianyar Regency and 121,000 m2 in Klungkung Regency for the period of 2016 to 2019. Meanwhile, the accretion area reached 158,615 m2 in Gianyar and 32,159 m2 in Klungkung Regency.

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“…The primacy of remote sensing over other conventional techniques in mapping and inventory of earth resources are large ground coverage of satellite images, affordability of multiple spectral information, the temporal resolution and digital format of the satellite images (Moghaddam et al, 2015). All over the world, researchers are using remote sensing for environmental change detection studies.…”

Section: Introductionmentioning

confidence: 99%

Study of Fluctuations in Surface Area of Lake Haramaya using NDWI and MNDWI Methods

2022

JGISE

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Lakes are of great value to human beings and important for various reasons like regulating the flow of river water, to maintain the eco-system and storage of water during the dry seasons. Lake Haramaya, which is situated at 14 km Northwest of Harer town (UNESCO Site) is one of the famous and beautiful lakes of Ethiopia. It acts as a source of life for human beings and animals. The over exploitation of the lake haramaya for water supply and agricultural purposes has led to its extinction in the last two decades. This study attempts to identify the fluctuations in surface area of Lake Haramaya between 1995 to 2020 by using multi-temporal satellite data. The Landsat 5TM images of 1995, 2000 and 2010, Landsat 7ETM+ image of 2005 and Landsat 8 OLI TIRS images of 2015 and 2020 are analyzed using the Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI) methods. These methods are used to quantify the changes in surface area and compared to each other for identifying the suitable method for detecting water bodies. The present study shows that, between 1995 to 2010 the lake lost up to 2.3238 sq.km and almost dried. But, during 2011 to 2020 the lake surface area increased by 2.6946 sq.km. The study states that the lake surface area is fluctuating and MNDWI method is highly reliable in extracting water bodies.

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Applying MNDWI index and linear directional mean analysis for morphological changes in the Zarriné-Rūd River

Cited by 18 publications

References 12 publications

Spatio-temporal and trade export risk analysis of bluetongue disease in France: A case study of China

Spatio-temporal and trade export risk analysis of bluetongue disease in France: A case study of China

Detection of Coastline Changes using Multi-Temporal Satellite Images: A case study of Gianyar and Klungkung Regency, Bali

Study of Fluctuations in Surface Area of Lake Haramaya using NDWI and MNDWI Methods

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