Impacts of Vegetation and Topography on Land Surface Temperature Variability over the Semi-Arid Mountain Cities of Saudi Arabia

Bindajam, Ahmed Ali; Mallick, Javed; Alqadhi, Saeed; Singh, Chander Kumar; Hang, Hoang Thi

doi:10.3390/atmos11070762

Cited by 56 publications

(37 citation statements)

References 85 publications

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“…The LST area grew rapidly throughout the day and was higher in the surrounding area , creating an unusually high LST region. The LST of the exposed rocky areas characterized not only by the classical urban thermal influence, but also by the extreme high LST zone aggravated by the rocky area desertification [47]. In future research, LST will be used as a critical item and index to analyze and assess the degree of desertification in rocky areas.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Seasonal Characteristics of Land Surface Temperature with NDVI and Population Density

Mallick¹

2021

Pol. J. Environ. Stud.

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Vegetation cover and population density and its variability characteristics in National Capital Region, NCR, India have major effects on thermal environments, mainly on land surface temperature (LST). There are very few meteorological stations to record the surface temperature in earlier periods, and they may not be the true representation for NCR region. In such cases, LST derived from thermal satellite data is useful to study the LST variability across the NCR region, an important parameter for urban micro-climate. Satellite images from Moderate Resolution Imaging Spectroradiometer (MODIS) used to obtain Normalized Difference Vegetation Index (NDVI) and LST map to determine the impact of those parameters on LST variability. Higher NDVI reveals the lower LST and vice versa. The high LST-NDVI negative correlation was observed during monsoon season. Statistical analysis of nighttime LST with population density shows that population growth tends to lead to urban LST rise or Urban Heat Island (UHI) strength, as well as effects NCR micro-climate. The high population density is one of the key contributing factors for NCR's high surface temperature, UHI intensity and also micro-climate.The study shows that the seasonal distribution of LST needs to be overcome with the high vegetation cover and some other appropriate mitigation measures. One way of mitigating such seasonal peripheral thermal effects could be to adopt better cropping practices in order to minimize the agricultural fallow period and promoting green roofing concepts in urban areas and using porous concrete for construction which might help to mitigate impacts of high LST in urban areas of NCR. The results of these studies may be useful in assessing and resolving the microclimate problem and in reducing the impact of UHI and also provide supporting data for NCR's urban planning and environmental research.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Seasonal Characteristics of Land Surface Temperature with NDVI and Population Density

Mallick¹

2021

Pol. J. Environ. Stud.

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“…Vegetation conditions can affect the surface thermal characteristics, which play an important role in the changes of LST [53]. In addition, vegetation conditions changes also lead to changes in surface property and the variation in surface energy exchange process.…”

Section: ) Vegetation Variationsmentioning

confidence: 99%

Spatiotemporal Patterns of Land Surface Temperature Change in the Tibetan Plateau Based on MODIS/Terra Daily Product From 2000 to 2018

Yang

Zhao

Zhan

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Under the background of climate change, the Tibetan Plateau presents high spatial and temporal variability in land surface temperature (LST). To understand the spatiotemporal patterns of LST change, this study conducted a spatiotemporal analysis using the Mann-Kendall trend analysis method with time series of mean annual surface temperature (MAST) extracted from the MODIS/Terra daily LST product from 2000 to 2018. The analysis indicated that both daytime and nighttime MASTs show an obvious warming trend with the average rates of 0.028 K/year and 0.069 K/year, and the nighttime variation has larger spatial coverage. Areas ranging from 4500 to 5000 m exhibited the strongest warming effect. The Geodetector method was applied to detect the impacts from seven factors, including elevation, land cover type, latitude, normalized difference vegetation index (NDVI), precipitation, air temperature, and solar radiation on the spatial distribution of LST. The controlling effects of these factors were generally stronger in the nighttime than those in the daytime, and elevation was the most important factor with the contribution scores of 27.12% and 62.98% in the daytime and nighttime, respectively. In addition, the analysis revealed that the temporal changes of LST were mainly caused by surface properties (vegetation, snow cover, and water surface area) changes, radiant flux changes induced by cloud amount changes, and climate warming. In general, this study provides important insights into the spatiotemporal dynamics of LST in the TP since 2000 and helps to reveal the impact of climate change on ecoenvironmental conservation.

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“…Every molecule has its own vibration frequency, and the composition of a natural surface that emits infrared light is determined by the surface composition. Soil chemistry, soil structure, soil composition, organic matter, moisture content, and vegetation cover characteristics all influence the emissivity of the land surface (Bindajam et al 2020). NDVI values are used to estimate land surface emissivity using various methods.…”

Section: Methods For Emissivity and Fractional Vegetation Cover (Fvc)mentioning

confidence: 99%

Integration of satellite image–derived temperature and water depth for assessing fish habitability in dam controlled flood plain wetland

Kundu

Pal

Talukdar

et al. 2022

Environ Sci Pollut Res

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The present study attempted to investigate the changes in temperature conducive to fish habitability during the summer months in a hydrologically modified wetland following damming over a river. Satellite image-driven temperature and depth data calibrated with field data were used to analyse fish habitability and the presence of thermally optimum habitable zones in some fishes such as Labeo Rohita, Cirrhinus mrigala, Tilapia fish, Small shrimp, and Cat fishes. The study was conducted both at the water's surface and at the optimum depth of survival. It is very obvious from the analysis that a larger part of wetland has become an area that destroyed aquatic habitat during the post-dam period and existing wetlands have suffered significant shallowing of water depth. This has resulted in a shrinking of the thermally optimum area of fish survival in relation to surface water temperature (from 100.09 km2 to 74.24 km2 before the dam to 93.97 km2 to 0 km2 after the dam) and an improvement in the optimum habitable condition in the comfortable depth niche of survival. In the post-dam period, it increased from 75.49 % to 99.765%. Since the damming effect causes a 30.53 to 100% depletion of the optimum depth niche, improving the thermal environment has no effect on fish habitability. More water must be released from dams for restoration. Image-driven depth and temperature data calibrated with field information has been successfully applied in data sparse conditions, and it is further recommended in future work.

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Impacts of Vegetation and Topography on Land Surface Temperature Variability over the Semi-Arid Mountain Cities of Saudi Arabia

Cited by 56 publications

References 85 publications

Evaluation of Seasonal Characteristics of Land Surface Temperature with NDVI and Population Density

Evaluation of Seasonal Characteristics of Land Surface Temperature with NDVI and Population Density

Spatiotemporal Patterns of Land Surface Temperature Change in the Tibetan Plateau Based on MODIS/Terra Daily Product From 2000 to 2018

Integration of satellite image–derived temperature and water depth for assessing fish habitability in dam controlled flood plain wetland

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