An estimation of land surface temperatures from landsat ETM+ images for Durban, South Africa

Ngie, Adeline; Abutaleb, Khaled; Ahmed, Fathi; Taiwo, Olalekan-John; Darwish, Ahmed; Ahmed, Mohammed

doi:10.4314/rj.v1i2s.2d

Cited by 13 publications

(8 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These statistical values are quite significant, and they are in full agreement with outcomes from other researches (Abutaleb et al, 2014;Adeline et al, 2014;A Ngie et al, 2016).…”

Section: Relationship Between Ndvi and Lstsupporting

confidence: 92%

Spatio-temporal variations of land surface temperature using Landsat and MODIS: case study of the City of Tshwane, South Africa

Magidi¹,

Ahmed²

2022

SA J of Geomatics

View full text Add to dashboard Cite

Urbanisation is accelerating urban land use dynamics and this has a significant impact on land surface temperature (LST). Impervious surfaces and increase in air pollution has led to the increase in land surface temperature. This study reports on the use of geospatial technologies to monitor and quantify changes in LST using remotely sensed data in the City of Tshwane. Land surface temperature was retrieved using the winter and summer Landsat datasets for 1997 and 2015 and the MODIS data from 2000 to 2015. Land surface temperature was extracted using emissivity and satellite temperature as input parameters. The spatial and temporal variations in the LST were retrieved to show the effects of land cover change on LST. Change in LST was also analysed on different land cover types using transects across the study area. The study revealed an increase in land surface temperature between the years. It also showed that impervious surfaces had a higher LST compared to the non-impervious surfaces. The results revealed variations in LST between non-cropped and cropped agricultural areas, where the former had higher LST than the latter. Temporal trends revealed a notable increase in LST in the urban areas and there were some seasonal variations in LST with high LST values in summer and low values in winter. Cross-section analysis along transects revealed spatio-temporal thermal variations across different land cover types.

show abstract

“…These statistical values are quite significant, and they are in full agreement with outcomes from other researches (Abutaleb et al, 2014;Adeline et al, 2014;A Ngie et al, 2016).…”

Section: Relationship Between Ndvi and Lstsupporting

confidence: 92%

Spatio-temporal variations of land surface temperature using Landsat and MODIS: case study of the City of Tshwane, South Africa

Magidi¹,

Ahmed²

2022

SA J of Geomatics

View full text Add to dashboard Cite

show abstract

“…The intensity of anthropogenic activities and urban development worldwide are related to changes in land cover and vegetation and have disrupted the balance of natural ecosystems (Ngie et al 2016, Meera et al 2015, Mushtaq, Asima 2016. Land cover, Land Surface Temperature (LST) and Vegetation Indices (VIs) are regarded as significant parameters for monitoring environmental changes.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Relationship of LST, NDVI and EVI with Land Cover Changes in the Lagos Lagoon Environment

Alademomi

Okolie

Daramola

et al. 2020

Quaestiones Geographicae

View full text Add to dashboard Cite

The Lagos Lagoon is under increased pressure from growth in human population, growing demands for natural resources, human activities, and socioeconomic factors. The degree of these activities and the impacts are directly proportional to urban expansion and growth. In the light of this situation, the objectives of this study were: (i) to estimate through satellite imagery analysis the extent of changes in the Lagos Lagoon environment for the periods 1984, 2002, 2013 and 2019 using Landsat-derived data on land cover, Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI); and (ii) to evaluate the relationship between the derived data and determine their relative influence on the lagoon environment. The derived data were subjected to descriptive statistics, and relationships were explored using Pearson's correlation and regression analysis. The effect of land cover on LST was measured using the Contribution Index and a trend analysis was carried out. From the results, the mean LSTs for the four years were 22.68°C (1984), 24.34°C (2002), 26.46°C (2013) and 28.40°C (2019). Generally, the mean LSTs is in opposite trend with the mean NDVIs and EVIs as associated with their dominant land cover type. The strongest positive correlations were observed between NDVI and EVI while NDVI had the closest fit with LST in the regression. Built-up areas have the highest contributions to LST while vegetation had a cooling influence. The depletion in vegetative cover has compromised the biodiversity of this environment and efforts are required to reverse this trend.

show abstract

“…Furthermore, it's found that the relation between Spatial distribution of the LST and surface materials and land use/land cover types is good indicator to evaluate general ecosystem and environmental status. LST is estimated using different remote sensing data in many fields such as; forestry, vegetation, climate change hydrology, oceanography, urban heat island and climate [13] [14] [15], where the remote sensing has high techniques which evaluate and monitor environmental changes [1]. In this case, Landsat is used as one of the widely remote sensors used, Landsat 8 follow the Landsat series which provides thermal data [1] [16].…”

Section: Introductionmentioning

confidence: 99%

Estimate Land Surface Temperature in Relation to Land Use Types and Geological Formations Using Spectral Remote Sensing Data in Northeast Jordan

Ibrahim¹,

Abu-Mallouh²

2018

OJG

View full text Add to dashboard Cite

Land Surface Temperature (LST) is one of the important indicators to understand the spatial changes and surface processes on the earth surface that leads to actual assessment of environmental quality from local to global scales. The relation between spatial analysis of the land surface temperature and existing land use/land cover changes is important to evaluate the climate processes. Monitoring of this relation in the arid and semi-arid regions is necessary to make an appropriate decision about Land surface temperature and environmental status. In this paper, generally the split-window algorithm is used to estimate LST from thermal bands of the Landsat Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS) using remote sensing and Geographic Information System (GIS) techniques as well as meteorological data through Moderate Resolution Imaging Spectroradiometer (MODIS). The results show the relationships between land use types and land surface temperature. MODIS data were analyzed. The relationship between MODIS and Landsat data temperature is moderate relation and the (R2 = 0.5109) according on 200 random points were selected. This research concludes that the maximum temperatures of the land use types in MODIS and Landsat data for the rock formation are 59˚ and 45˚ respectively, whereas the maximum temperatures of the geological formation in MODIS and Landsat data for the basalt are 59˚ and 45˚ respectively. In conclusion, the MODIS and Landsat OLI and TIRS Data have high ability to distinguish the land use types. The correlation coefficient of the relation between the surface temperature with rock was (R2 = 0.6197). Therefore, it is found that there is an ability to monitor the How to cite this paper: Ibrahim, M. and Abu-Mallouh, H.

show abstract

An estimation of land surface temperatures from landsat ETM+ images for Durban, South Africa

Cited by 13 publications

References 26 publications

Spatio-temporal variations of land surface temperature using Landsat and MODIS: case study of the City of Tshwane, South Africa

Spatio-temporal variations of land surface temperature using Landsat and MODIS: case study of the City of Tshwane, South Africa

Assessing the Relationship of LST, NDVI and EVI with Land Cover Changes in the Lagos Lagoon Environment

Estimate Land Surface Temperature in Relation to Land Use Types and Geological Formations Using Spectral Remote Sensing Data in Northeast Jordan

Contact Info

Product

Resources

About