QGIS-Landsat Indices plugin (Q-LIP): Tool for environmental indices computing using Landsat data

Sebbah, Boutaina; Alaoui, Otmane Yazidi; Wahbi, Miriam; Maâtouk, Mustapha; Achhab, Nizar Ben

doi:10.1016/j.envsoft.2021.104972

Cited by 15 publications

(7 citation statements)

References 28 publications

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“…The site allows downloading satellite survey data for further processing in specialized GIS systems, such as QGIS, for which special plugins such as Q-LIP have been created for processing data from Landsat, proposed by Boutaina Sebbah (2021) in [45]. The specified interface provides a single scale for indicating the surface temperature from −50 to 100 • C, due to which it is challenging to distinguish thermal anomalies visually in the city conditions since the range of temperature distribution in the city, even in the summer months, does not exceed 25 • C. Using QGIS, a different color palette was introduced for the heat field distribution map, which was adjusted based on the maximum and minimum temperature.…”

Section: Methodology Of the Experimentsmentioning

confidence: 99%

“…The specified interface provides a single scale for indicating the surface temperature from −50 to 100 • C, due to which it is challenging to distinguish thermal anomalies visually in the city conditions since the range of temperature distribution in the city, even in the summer months, does not exceed 25 • C. Using QGIS, a different color palette was introduced for the heat field distribution map, which was adjusted based on the maximum and minimum temperature. The site allows downloading satellite survey data for further processing in specialized GIS systems, such as QGIS, for which special plugins such as Q-LIP have been created for processing data from Landsat, proposed by Boutaina Sebbah (2021) in [45]. The specified interface provides a single scale for indicating the surface temperature from −50 to 100 °С, due to which it is challenging to distinguish thermal anomalies visually in the city conditions since the range of temperature distribution in the city, even in the summer months, does not exceed 25 °С.…”

Section: Methodology Of the Experimentsmentioning

confidence: 99%

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European Green Deal: Satellite Monitoring in the Implementation of the Concept of Agricultural Development in an Urbanized Environment

Opryshko,

Pasichnyk,

Kiktev

et al. 2024

Sustainability

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To improve energy and environmental security in urban environments and in accordance with the requirements of the EU, the task of sustainable developing agriculture in urban agglomerations and monitoring it using satellite images becomes relevant. The aim of the work is the development of methods and means for determining stable islands of thermal energy to substantiate the optimal locations for plant growing practices in the metropolis. The research was conducted in Kyiv, the largest metropolis of Ukraine. Data from the Landsat 8 and 9 satellites were used because of the free data and they have better spatial resolution and an available archive of observation results. It was established that the temperature map of the city of Kyiv shows differences in temperature between different parts of the city, probably due to the presence of different sources of heat radiation. It is obvious that the standard deviation of the temperature in the plots depends on many factors, in particular, the season and the type of land use. It is necessary to find alternative solutions for the development of crop production in this area, taking into account the characteristics of thermal emissions. Based on software products from free satellite monitoring providers, EO Browser, a specialized software solution (web application) has been created for monitoring agricultural plantations in an urban environment. A collection of LANDSAT 8 satellite images was used. Areas with stable heat emissions were found, which are due to the operation of a modern shopping and entertainment center, and non-traditional crops for landscaping adapted to its design are proposed. As a result of research, strong heat emissions were recorded for some objects, for them the temperature exceeds the surrounding area by 4 °C, while the minimum standard deviation in January is 0.5 °C, the maximum in July is 2.8 °C, in April and October—1.7 °C and 1.2 °C, respectively.

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Section: Methodology Of the Experimentsmentioning

confidence: 99%

Section: Methodology Of the Experimentsmentioning

confidence: 99%

European Green Deal: Satellite Monitoring in the Implementation of the Concept of Agricultural Development in an Urbanized Environment

Opryshko,

Pasichnyk,

Kiktev

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…The use of QGIS is highly recommended as it is available for free, and its capabilities can be extended with a wide range of external plugins developed by its large community. Recently, many plugins have been developed under QGIS to serve sustainability purposes, [24] Imagine Sustainability (2023) Sustainability Assessment Tool based on geographic algorithm MCDA, Spatial Sustainability Assessment Model (SSAM) (2019) by ARPA Umbria -University of Perugia (Developer: Gianluca Massei) for sustainability assessment in a geographic environment, and [25] USM toolset (Urban Sprawl Metric toolset), which is a set of tools facilitating the calculation of weighted urban proliferation (WUP), and Q-LIP environment (2023) [26]. The basic functionality of the plugins is written in Python (3.2), while the graphical user interface (GUI) is developed using the Qt designer concept.…”

Section: Technical Implementationmentioning

confidence: 99%

Sustainable Tourism Assessment: A QGIS Plugin Approach for Integrated Economic, Environmental, and Social Indice.

Haloui,

EL Mansouri,

Chao

2024

Preprint

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The evaluation of tourism sustainability has become of paramount importance for researchers and decision-makers to better protect tourist destinations, especially with the continuous increase in the number of tourists and visitors that alter the natural components of the environment and degrade ecosystems. Therefore, the use of geographical data is of great significance, particularly in environmental monitoring and land management, due to its ease of use and availability. However, calculating composite indices for sustainability involves several steps and requires a basic understanding of existing models. This article describes the development and design of a package of plugins in QGIS that serves as an easy-to-use tool for processing and automatically calculating economic, environmental, social indices, and the overall index of tourist sustainability. These plugins have been built in Python and designed as QGIS software plugins.

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“…QGIS is an open source mapping software based on the geographic information system (GIS) [50,51], which can load the data into a geographical map and perform the spatial analysis [52][53][54], including the environment indices' measuring and calculating [55]. In this study, we use QGIS to visualize and analyze hazardous air pollutants in 29 provinces of China.…”

Section: Core Variables 221 Explained Variablesmentioning

confidence: 99%

Impact of Collaborative Agglomeration of Manufacturing and Producer Services on Air Quality: Evidence from the Emission Reduction of PM2.5, NOx and SO2 in China

et al. 2022

Atmosphere

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Industrial agglomeration is a major source of regional economic development and the main pattern enterprises employ after having developed to a certain stage. Industrial agglomeration also affects the emissions of air pollutants in production. Based on provincial panel data for China from 2006 to 2019, this paper introduces the full generalized least squares (FGLS) panel econometrics model. By considering spatial correlation, the potential endogenous problem has been controlled using the instrumental variable and the effects of the co-agglomeration of manufacturing and producer services on three major air pollutants, i.e., SO2, PM2.5, and NOx, have been empirically estimated. The empirical results show that: (1) The agglomeration of manufacturing increases the emission of PM2.5 in the air, while the agglomeration of producer services and the co-agglomeration of manufacturing and producer services reduce it. Moran correlation index test showed that SO2 and NOx had no significant spatial correlation. (2) The agglomeration of manufacturing, the agglomeration of producer services, and co-agglomeration exert the most significant effects on PM2.5 in the air in central and western China. This is probably because of the availability of basic natural resources in these areas. (3) The energy consumption structure mediates the effect of the agglomeration of manufacturing on PM2.5, and human capital mediates the effect of the agglomeration of producer services on PM2.5 emissions. Based on the results, policy suggestions to improve the atmospheric environment during the process of industrial agglomeration are proposed.

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QGIS-Landsat Indices plugin (Q-LIP): Tool for environmental indices computing using Landsat data

Cited by 15 publications

References 28 publications

European Green Deal: Satellite Monitoring in the Implementation of the Concept of Agricultural Development in an Urbanized Environment

European Green Deal: Satellite Monitoring in the Implementation of the Concept of Agricultural Development in an Urbanized Environment

Sustainable Tourism Assessment: A QGIS Plugin Approach for Integrated Economic, Environmental, and Social Indice.

Impact of Collaborative Agglomeration of Manufacturing and Producer Services on Air Quality: Evidence from the Emission Reduction of PM2.5, NOx and SO2 in China

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