Cited by Environmental modeling of impacts of agricultural land changes using Markov chain and machine learning (case study: Shanghai metropolis, China)

Spatiotemporal dynamics of land use/land cover (LULC) changes and its impact on land surface temperature: A case study in New Town Kolkata, eastern India DOI

Bubun Mahata,

Siba Sankar Sahu,

Archishman Sardar

et al.

Regional Sustainability, Journal Year: 2024, Volume and Issue: 5(2), P. 100138 - 100138

Published: June 1, 2024

Rapid urbanization creates complexity, results in dynamic changes land and environment, influences the surface temperature (LST) fast-developing cities. In this study, we examined impact of use/land cover (LULC) on LST determined intensity urban heat island (UHI) New Town Kolkata (a smart city), eastern India, from 1991 to 2021 at 10-a intervals using various series Landsat multi-spectral thermal bands. This study used maximum likelihood algorithm for image classification other methods like correlation analysis hotspot (Getis–Ord Gi* method) examine LULC environment. noticed that area percentage built-up increased rapidly 21.91% 45.63% during 1991–2021, with a positive change negative sparse vegetation. The mean significantly period (1991–2021), 16.31°C 22.48°C winter, 29.18°C 34.61°C summer, 19.18°C 27.11°C autumn. result showed impervious surfaces contribute higher LST, whereas vegetation helps decrease it. Poor ecological status has been found land, excellent water body. hot spot cold areas shifted their locations every decade due random changes. Even after became city, high observed. Overall, indicated patterns can influence appropriate planning is needed reduce LST. help policy-makers create sustainable

Language: Английский

Citations

Monitoring vegetation dynamics across land use types in Iran: spatiotemporal relationships with soil temperature and water volume DOI

Sepideh Behroozeh,

Asadollah Khoorani,

Hadi Eskandari Damaneh

et al.

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Feb. 1, 2025

Language: Английский

Citations

Comparative analysis of key factors influencing urban green space in Mashhad, Iran (1988–2018) DOI

Leila Rahmati,

Toktam Hanaei

ENVIRONMENTAL SYSTEMS RESEARCH, Journal Year: 2024, Volume and Issue: 13(1)

Published: May 10, 2024

Abstract This paper analyzed the role of national economic factors, in addition to some key city-level variables, variation urban green space (UGS) Mashhad City (Iran) during three decades (1998–2018). The correlation result revealed effects increasing trend land price, population rate, and construction built-up areas decreasing UGS study area (R from − 0.95 -0.99 at p-value > 95%). Also, country-level i.e., GDP per capita, oil export total value, FDI, represented overall 1988 2018, correlating with decrease 0.76 -0.92 75%). Some statistical analyses, such as run-test, skewness kurtosis tests, Kolmogorov-Smirnov test, ANOVA test were done confirm normality data distribution reliability results. Ultimately, clustering research variables based on significance confidence levels estimated results that change price values petroleum-dependent economy Iran can be assumed lead factors fluctuate all particularly variations.

Language: Английский

Citations

Influence of vegetation index to the rainfall intensity in Pasuruan Area, East Java Province, Indonesia DOI

Agus Suharyanto, Alwafi Pujiraharjo, Muhammad Taufik Iqbal

et al.

Journal of Applied and Natural Science, Journal Year: 2024, Volume and Issue: 16(1), P. 251 - 262

Published: March 20, 2024

An increase in population increases the rate of urbanization. This results changes land cover from vegetation to artificial material. As a result, much surface reflects sun's energy. Consequently, this temperature land. (LST) will intensity rainfall. Therefore, present study aimed investigate relationship between LST and rainfall intensity. Changes can be detected by normalized difference index (NDVI) built-up (NDBI) parameters. Landsat satellite imagery was used detect NDVI, NDBI, LST. Image processing done for imageries scanned 1995, 2015, 2017, 2021. Two areas East Java Province Indonesia, namely Malang City Pasuruan Area, were selected. The daily data collected related stations same year. Mononobe method applied analyze hourly minute IDF curves drawn analyzed results. both parameters comparing curve. studied showed that maximum 1995 2021 Area 2.60 C 7.60 C, respectively. For rain, increased 58 mm 18 Area. change trends two had positive coefficient regression. findings predict floods based on data.

Language: Английский

Citations

The Nexus between Land Use/Cover changes and Land Surface Temperature: Remote sensing based Two-Decadal Analysis DOI

Pouyan Dehghan Rahimabadi, Bing Liu,

H Azarnivand

et al.

Journal of Arid Environments, Journal Year: 2024, Volume and Issue: 225, P. 105269 - 105269

Published: Oct. 18, 2024

Language: Английский

Citations

Environmental modeling of impacts of agricultural land changes using Markov chain and machine learning (case study: Shanghai metropolis, China) DOI

Zigang Yao,

Wenmo Li,

Yan Pang

et al.

International Agrophysics, Journal Year: 2024, Volume and Issue: 38(4), P. 353 - 371

Published: Aug. 29, 2024

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Language: Английский

Citations