Simulation of green roofs and their potential mitigating effects on the urban heat island using an artificial neural network: A case study in Austin, Texas

A Asadi, H Arefi, H Fathipoor - Advances in Space Research, 2020 - Elsevier
The growing number of densely populated cities has resulted in a decrease in vegetation
coverage, which in turn, has resulted in a temperature increase in urban areas. This …

Study for predicting land surface temperature (LST) using landsat data: a comparison of four algorithms

EK Mustafa, Y Co, G Liu, MR Kaloop… - Advances in Civil …, 2020 - Wiley Online Library
The soft computing models used for predicting land surface temperature (LST) changes are
very useful to evaluate and forecast the rapidly changing climate of the world. In this study …

Land surface temperature and NDVI patterns in the petroleum and non-petroleum regions in Southern Iraq (Al-Basra)

SA Kadhum, A Awad, SA Abed, M Janaydeh… - Environment …, 2024 - Springer
Continuous oil exploration and construction of oil refineries in southern Iraq, accompanied
by gas emissions and fire flaring, may be attributed to increases in land surface temperature …

[PDF][PDF] Estimating the change in forest cover density and predicting NDVI for west Singhbhum using linear regression

A Anand, SK Singh, S Kanga - Int. J. Environ. Rehabil. Conserv, 2018 - researchgate.net
ABSTRACT Forest Canopy Density (FCD) is defined as one of the key parameters to assess
the ecological condition of a forest. The Present study deals with estimating the change in …

[HTML][HTML] Simulation of future land surface temperature under the scenario of climate change using remote sensing & GIS techniques of northwestern Rajshahi district …

EJ Esha, MTU Rahman - Environmental Challenges, 2021 - Elsevier
Identification of change dynamics of land surface temperature on regional scale is a very
convenient way to describe the issues related global warming and climate change. This …

Simulation of land surface temperature patterns over future urban areas—a machine learning approach

S Maithani, G Nautiyal, A Sharma… - Journal of the Indian …, 2022 - Springer
The present study attempts to simulate land surface temperature (LST) as a function of built-
up density using an artificial neural network (ANN) algorithm. The LST was retrieved from …

[HTML][HTML] Modelling Future Land Surface Temperature: A Comparative Analysis between Parametric and Non-Parametric Methods

Y Gao, N Li, M Gao, M Hao, X Liu - Sustainability, 2024 - mdpi.com
As urban expansion continues, the intensifying land surface temperature (LST) underscores
the critical need for accurate predictions of future thermal environments. However, no study …

Development of temperature monitoring and prediction system for urban heat island (UHI) based on the internet of things

DJ Hidayat, S Soekirno - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The population increase in urban areas is one of the primary reasons for changing the local
climate, and there is a high impact on the surrounding areas. Due to rapid urbanization …

[PDF][PDF] Prediksi suhu permukaan menggunakan artificial neural network-cellular automata di wilayah Cirebon dan sekitarnya

M Dede, MA Widiawaty, YR Ramadhan… - Seminar Nasional …, 2020 - researchgate.net
Ekspansi lahan terbangun melalui kehadiran pemukiman dan kawasan industri berimplikasi
pada berkurang lahan bervegetasi di wilayah Cirebon dan sekitarnya. Kondisi …

Prediksi Urban Heat Island menggunakan Metode Artificial Neural Network berdasarkan data MODIS dan Sentinel di Kota Malang

DFA Mu'izz - 2023 - etheses.uin-malang.ac.id
Assalamu'alaikum Wr Wb Puji syukur kepada Allah SWT yang senantiasa memberikan
rahmat dan ridho-Nya, sehingga penulis dapat menyelesaikan skripsi ini. Tujuan peneliti …