The investigation of spatiotemporal variations of land surface temperature based on land use changes using NDVI in southwest of Iran

Fathizad, Hassan; Tazeh, Mehdi; Kalantari, Saeideh; Shojaei, Saeed

doi:10.1016/j.jafrearsci.2017.06.007

Cited by 49 publications

(24 citation statements)

References 19 publications

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“…The most important phenomenon that can be attributed to the inverse urban heat-island effect for desert cities is heated reflectance and absorbability of desert sands that surround the city as sands are hotter than the vegetation and impervious surfaces [29], [48]. These findings support the existing results from other desert cities such as Phoenix, Abu Dhabi, Erbil, and Dubai [34], [36], [47].…”

Section: Discussionsupporting

confidence: 85%

Examining and Modelling the Determinants of the Rising Land Surface Temperatures in Arabian Desert Cities: An Example from Riyadh, Saudi Arabia

Rahman¹

2018

JSSP

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Product Moment Correlation values, Path Analysis, and Multiple Regression analysis. The result shows that neighbourhood population densities and NDBsI index have strong positive correlations (r= 0.68 and r= 0.60) with LST. Neighbourhood area showed significant but low positive correlation (r= 0.33) and the NDBI and NDVI indices showed strong negative correlations (r=-0.55 and r=-0.64) with the LST. The multiple regression model explained about 77% of the total variation in the LST. The model can be used to predict and simulate future LST distribution for Riyadh as well as other cities in the Kingdom and the region.

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Section: Discussionsupporting

confidence: 85%

Examining and Modelling the Determinants of the Rising Land Surface Temperatures in Arabian Desert Cities: An Example from Riyadh, Saudi Arabia

Rahman¹

2018

JSSP

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“…The Normalized Difference Vegetation Index (NDVI) is a commonly used spectral index to extract greenery, which is defined as the difference between the Near-Infrared (NIR) and Visible (VIS, generally Sustainability 2017, 9, 1777 5 of 17 red) bands divided by their sum [29][30][31]. It was used to extract urban green vegetation information by using Formula (1) and a threshold of 0.1.…”

Section: Green Space Extractionmentioning

confidence: 99%

“…(VIS, generally red) bands divided by their sum [29][30][31]. It was used to extract urban green vegetation information by using Formula (1) and a threshold of 0.1.…”

Section: Overlay Analysismentioning

confidence: 99%

Residential Spatial Differentiation Based on Urban Housing Types—An Empirical Study of Xiamen Island, China

et al. 2017

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Abstract:Residential spatial differentiation, also called residential segregation, is a representation of the differentiation of social stratum in economic income, social status, education degree, lifestyle, and other aspects, based on an urban geographical space. In this paper, Xiamen Island is taken as example to calculate the dissimilarity index and the multi-group dissimilarity index at three scales (districts, sub-districts, and communities) by using the land area, population size, and green space area of different housing types. The characteristics of residential differentiation are analyzed. It is found that both spatial differentiation and multi-group spatial differentiation have significant scale effects. The smaller the scale of the spatial statistics unit, the larger the spatial differentiation and multi-group spatial differentiation. Significant differences are found in residential differentiation among different housing types. The residential differentiation is, not only demonstrated in land area and population size, but also in the resources of green space. More importantly, a balanced allocation of green space will help to reduce the degree of residential differentiation. With urban expansion and social-economic development, residential spatial differentiation will likely change. An understanding of residential differentiation is a guide for urban master planning and detailed regulatory planning. It will help to promote social harmonious development and urban sustainable development by the reasonable configuration of land and resources.

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“…LUCC, a direct reflection of the interaction between humans and nature, is a complex process of the combined effects of natural, social and economic factors and is a basic problem for population, resource and environmentally sustainable developments [1][2][3][4]. The spatial and temporal characteristics, driving forces and environmental effects of LUCC are three focuses of LUCC research [5]. These aspects are prerequisites for understanding the interaction mechanism between human-driven land use change and the environment, which can reflect the direct interactions between natural patterns, processes and human society.…”

Section: Introductionmentioning

confidence: 99%

Vegetation Restoration and Its Environmental Effects on the Loess Plateau

Zhao

Wang

et al. 2018

Sustainability

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An analysis of land use/cover change (LUCC) on the Loess Plateau over the past 30 years and its environmental effects was performed to provide scientific guidance for a sustainable development policy for the regional ecological environment and social economy. Geostatistical and trend analyses are used to study the LUCC characteristics, driving forces and environmental effects, and the relationship between LUCC and regional sustainable development is explored. The following results were obtained: (1) Overall, the land use structure has not changed, with grassland, farmland, and forest land remaining dominant; however, the vegetation coverage has significantly increased, especially in the central area.(2) LUCC is affected by climate change and human activities, with greater climate change impacts in the northwest than the southeast and greater among which human-induced impacts on the hilly/gully region in the central part. (3) LUCC will produce long-term ecological and environmental processes, such as surface runoff, soil erosion, soil moisture and carbon cycling. Vegetation restoration has both negative and positive effects on the regional ecological environment. Vegetation productivity on the Loess Plateau has approached the water resource carrying capacity threshold. Therefore, improving artificial vegetation stability and promoting the water resources balance have become the main strategies for promoting sustainable development on the Loess Plateau.

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The investigation of spatiotemporal variations of land surface temperature based on land use changes using NDVI in southwest of Iran

Cited by 49 publications

References 19 publications

Examining and Modelling the Determinants of the Rising Land Surface Temperatures in Arabian Desert Cities: An Example from Riyadh, Saudi Arabia

Examining and Modelling the Determinants of the Rising Land Surface Temperatures in Arabian Desert Cities: An Example from Riyadh, Saudi Arabia

Residential Spatial Differentiation Based on Urban Housing Types—An Empirical Study of Xiamen Island, China

Vegetation Restoration and Its Environmental Effects on the Loess Plateau

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