Effect of land use land cover changes on land surface temperature during 1984–2020: a case study of Baghdad city using landsat image

Hashim, Bassim Mohammed; Maliki, Ali Al; Sultan, M.; Shahid, Shamsuddin; Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Zaher Mundher

doi:10.1007/s11069-022-05224-y

Cited by 31 publications

(11 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this investigation, supervised image classification was used to identify LULC kinds, as indicated by the literature [48,55]. The maximum likelihood supervised-classification model is used to categorize the land cover type into five distinct groups (built-up area, undeveloped land, agricultural land, aquatic bodies, and vegetation) in order to determine the land cover design [50,56,57].…”

Section: Land Use Land Cover Classification (Lulc)mentioning

confidence: 99%

Impact of COVID-19 Lockdown on Vegetation Indices and Heat Island Effect: A Remote Sensing Study of Dhaka City, Bangladesh

et al. 2022

View full text Add to dashboard Cite

It is predicted that the COVID-19 lockdown decreased environmental pollutants and, hence, urban heat island. Using the hypothesis as a guide, the objective of this research is to observe the change in vegetation pattern and heat-island effect zones in Dhaka, Bangladesh, before and after COVID-19 lockdown in relation to different forms of land use and land cover. Landsat-8 images were gathered to determine the vegetation pattern and the heat island zones. The normalized difference vegetation index (NDVI) and the modified soil-adjusted vegetation index (MSAVI12) were derived for analyzing the vegetation pattern. According to the results of the NDVI, after one month of lockdown, the health of the vegetation improved. In the context of the MSAVI12, the highest MSAVI12 coverages in March of 2019, 2020, and 2021 (0.45 to 0.70) were 22.15%, 21.8%, and 20.4%, respectively. In May 2019, 2020, and 2021, dense MSAVI12 values accounted for 23.8%, 25.5%, and 18.4%, respectively. At the beginning of lockdown, the calculated LST for March 2020 was higher than March 2019 and March 2021. However, after more than a month of lockdown, the LST reduced (in May 2020). After the lockdown in May 2020, the highest UHI values ranging from 3.80 to 5.00 covered smaller land-cover regions and reduced from 22.5% to 19.13%. After the end of the lockdown period, however, industries, markets, and transportation resumed, resulting in the expansion of heat island zones. In conclusion, strong negative correlations were observed between the LST and vegetation indices. The methodology of this research has potential for scholarly and practical implications. Secondly, urban policymakers can use the methodology of this paper for the low-cost monitoring of urban heat island zones, and thus take appropriate spatial counter measures.

show abstract

Section: Land Use Land Cover Classification (Lulc)mentioning

confidence: 99%

Impact of COVID-19 Lockdown on Vegetation Indices and Heat Island Effect: A Remote Sensing Study of Dhaka City, Bangladesh

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Many natural land covers have been destroyed and converted into other land use types, such as In Iraq, most studies focused on the previous to present LUCC, with no research concentrating on future urban land conversion and environmental sustainability. Mohamedmeki et al [31] studied the land use change toward sustainability in Baghdad City, Iraq. Qassim et al and Al-Ramahi et al analyzed the LUCC from 1986 to 2019.…”

Section: Introductionmentioning

confidence: 99%

Geospatial Analysis of Land Use/Cover Change and Land Surface Temperature for Landscape Risk Pattern Change Evaluation of Baghdad City, Iraq, Using CA–Markov and ANN Models

et al. 2022

View full text Add to dashboard Cite

Understanding future landscape risk pattern change (FLRPC) scenarios will help people manage and utilize natural resources. In this study, we have selected a variety of landscape and anthropogenic factors as risk parameters for FLRPC assessment. Land use/cover change (LUCC) and land surface temperature (LST) are regarded as significant factors that have resulted in large-scale environmental changes. Result analysis of the previous LUCC from 1985 to 2020 showed that construction land and water body (WB) increased by 669.09 and 183.16 km2, respectively. The study continues to predict future LUCC from 2030 to 2050, in which the result has shown that a large land use conversion occurred during the future prediction period. In addition, the LST forecasting analysis illustrated that the previous LST maximum and minimum are 38 °C and 15 °C, which will be increased to 40.83 °C and 26.25 °C in the future, respectively. Finally, the study used the weighted overlay method for the FLRPC analysis, which applies analytic hierarchy process techniques for risk evaluation. The FLRPC result demonstrated that Baghdad City is in the low-risk and medium-risk to high-risk categories from 2020 to 2050, while AL and BL are in the very-high-risk categories. Meanwhile, WB and NG have always been safe, falling into the very-low-risk and low-risk categories from 2020 to 2050. Therefore, this study has successfully assessed the Baghdad metropolitan area and made recommendations for future urban development for a more safe, resilient, and sustainable development.

show abstract

“…Land transformation due to global climate change and sea-level rise has caused an increase in coastal vulnerability 24 . Land area monitoring is useful for planning and managing anthropogenic and environmental activities on the earth's surface 25 . Global climate change and anthropogenic activities trigger thermal variation in the earth's surface and a gradual increase in the earth's temperature.…”

Section: Introductionmentioning

confidence: 99%

“…Global climate change and anthropogenic activities trigger thermal variation in the earth's surface and a gradual increase in the earth's temperature. The Land surface temperature (LST) can be used for monitoring environmental problems, surface temperature variation and heat stress 25 , 26 . The LST and vegetation in a scatter plot reveal pixels' chronological trajectory ranging from low-temperature high vegetation conditions to identifying high-temperature low vegetation 27 , 28 .…”

Section: Introductionmentioning

confidence: 99%

Farasan Island of Saudi Arabia confronts the measurable impacts of global warming in 45 years

Khedher

Abu-Taweel

Al-Fifi

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

Coastal vulnerability assessment is the key to coastal management and sustainable development. Sea level rise (SLR) and anthropogenic activities have triggered more extreme climatic events and made the coastal region vulnerable in recent decades. Many parts of the world also noticed increased sediment deposition, tidal effects, and changes in the shoreline. Farasan Island, located in the south-eastern part of Saudi Arabia, experienced changes in sediment deposition from the Red Sea in recent years. This study used Digital Shoreline Analysis System (DSAS) to delineate the shoreline changes of Farasan Island during 1975–2020. Multi-temporal Landsat data and DSAS were used for shoreline calculation based on endpoint rate (EPR) and linear regression. Results revealed an increase in vegetation area on the island by 17.18 km2 during 1975–1989 and then a decrease by 69.85 km2 during 1990–2020. The built-up land increased by 5.69 km2 over the study period to accommodate the population growth. The annual temperature showed an increase at a rate of 0.196 °C/year. The sea-level rise caused a shift in the island's shoreline and caused a reduction of land by 80.86 km2 during 1975–2020. The highly influenced areas by the environmental changes were the north, central, northwest, southwest, and northeast parts of the island. Urban expansion and sea-level rise gradually influence the island ecosystem, which needs proper attention, management, policies, and awareness planning to protect the environment of Farasan Island. Also, the study’s findings could help develop new strategies and plan climate change adaptation.

show abstract

Effect of land use land cover changes on land surface temperature during 1984–2020: a case study of Baghdad city using landsat image

Cited by 31 publications

References 57 publications

Impact of COVID-19 Lockdown on Vegetation Indices and Heat Island Effect: A Remote Sensing Study of Dhaka City, Bangladesh

Impact of COVID-19 Lockdown on Vegetation Indices and Heat Island Effect: A Remote Sensing Study of Dhaka City, Bangladesh

Geospatial Analysis of Land Use/Cover Change and Land Surface Temperature for Landscape Risk Pattern Change Evaluation of Baghdad City, Iraq, Using CA–Markov and ANN Models

Farasan Island of Saudi Arabia confronts the measurable impacts of global warming in 45 years

Contact Info

Product

Resources

About