Quantitative assessment of land surface temperature and vegetation ...

According to the comparative study, the mean LST decreases by 3 °C and the NDVI increases considerably. Correlation analysis showed that LST and ...

This research tracks and predicts how land use and land cover (LULC) changes may affect ground temperatures, urban heat islands, and city thermal fields (UTFVI ...

Quantitative assessment of the relationship between land use/land ...

The degree and spatial pattern of land surface temperature (LST) is affected by several factors such as land cover/land use (LULC), surface albedo, topographic ...

quantitative analysis of land surface temperature-vegetation indexes ...

Vegetation coverage has a significant influence on the land surface temperature (LST) distribution. In the field of urban heat islands.

Quantitative assessment of land surface temperature and vegetation ...

Quantitative assessment of land surface temperature and vegetation indices on a kilometer grid scale. Kikon, Noyingbeni; ;; Kumar, Deepak; ;; Ahmed, Syed Ashfaq ...

quantitative analysis of land surface temperature-vegetation indexes ...

Assessing land transformation and its relation with land surface temperature in Mumbai city, India using geospatial techniques · Environmental Science, ...

(PDF) Quantitative assessment of the relationship between land use ...

Although previous studies have investigated the impacts of land cover land use (LULC) and other factors on the urban land surface temperature (LST), the results ...

Correlation analysis of land surface temperature and topographic ...

In addition to human activities, this study found that topography is also an important factor affecting land surface temperature (LST).

Spatial quantitative analysis of the potential driving factors of land ...

Abstract. Revealing the dominant driving factors of land surface temperature (LST) plays an important role in mitigating the urban heat island (UHI) effect.

Estimation of land surface temperature–vegetation abundance ...

Analysis of the Relationship between Land Surface Temperature ...

Land surface temperature is sensitive to vegetation and soil moisture [6] . The use of remote sensing in land cover or land surface temperature studies has ...

Exploring the relationship between remote sensing-based ...

In an era of rapid urbanization, understanding the complex relationship between vegeta-tion dynamics and land surface temperature (LST) is ...

Analysis of the relationship among land surface temperature (LST ...

Absorbing and reflecting solar radiation energy and controlling latent and sensible heat exchange, vegetation can affect LST. NDVI is frequently used to ...

Characterizing Land Surface Temperature (LST) through Remote ...

The analysis involved extracting the LST, Normalized Difference Vegetation Index (NDVI), and Normalized Difference Built-Up Index (NDBI) on various dates, ...

Analytical study of land surface temperature with NDVI and NDBI ...

The present study focuses on determining the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI)

Land Surface Temperature | Space4ClimateAction

Land surface temperature (LST) is a vital component of Earth's climate and many physical, chemical, and biological processes of the Earth.

Assessing the impacts of vegetation loss and land surface ...

Rapid replacement of vegetated land with impermeable land (built-up areas) is a major factor in the increase in Land Surface Temperature ...

Effects of landscape pattern on land surface temperature in ... - Nature

In this research, land use maps and land surface temperature (LST) retrieval were derived in Nanchang city of central China based on product datasets and the ...

An assessment of remotely sensed land surface temperature

1. Introduction. [2] Land surface temperature (LST) is an important variable for the assessment of the surface energy budget. LST controls the ...

Assessment of land surface temperature in relation to landscape ...

Land surface temperature (LST) is essentially considered to be one of the most important indicators used for assessment of the urban thermal environment.