[HTML][HTML] Application of the optimal parameter geographic detector model in the identification of influencing factors of ecological quality in Guangzhou, China

M Zhang, AA Kafy, B Ren, Y Zhang, S Tan, J Li - Land, 2022 - mdpi.com
The ecological environment is important for the survival and development of human beings,
and objective and accurate monitoring of changes in the ecological environment has …

[HTML][HTML] Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran)

M Mansourmoghaddam, I Rousta… - Remote Sensing, 2024 - mdpi.com
The pressing issue of global warming is particularly evident in urban areas, where urban
thermal islands amplify the warming effect. Understanding land surface temperature (LST) …

Machine learning-based prediction of sand and dust storm sources in arid Central Asia

W Wang, A Samat, J Abuduwaili… - … Journal of Digital …, 2023 - Taylor & Francis
With the emergence of multisource data and the development of cloud computing platforms,
accurate prediction of event-scale dust source regions based on machine learning (ML) …

[HTML][HTML] Analyzing the Factors Driving the Changes of Ecosystem Service Value in the Liangzi Lake Basin—A GeoDetector-Based Application

Y Zhou, T Chen, J Wang, X Xu - Sustainability, 2023 - mdpi.com
The Liangzi Lake Basin (LLB) is an important ecological buffer for Wuhan's urban
agglomeration. It involves the ecological security of the middle reaches of the Yangtze River …

[HTML][HTML] Exploring the seasonal relationship between spatial and temporal features of land surface temperature and its potential drivers: the case of Chengdu …

C Hu, G Huang, Z Wang - Frontiers in Earth Science, 2023 - frontiersin.org
Global climate change and the process of urbanization have had a significant impact on
land surface temperature (LST). This study selects the Chengdu metropolitan area in China …

[HTML][HTML] Driving mechanism of habitat quality at different grid-scales in a Metropolitan City

Y Hu, E Xu, N Dong, G Tian, G Kim, P Song, S Ge… - Forests, 2022 - mdpi.com
Urban ecosystem dysfunction, habitat fragmentation, and biodiversity loss caused by rapid
urbanization have threatened sustainable urban development. Urban habitat quality is one …

Prediction of land surface temperature of major coastal cities of India using bidirectional LSTM neural networks

R Maddu, AR Vanga, JK Sajja, G Basha… - Journal of Water and …, 2021 - iwaponline.com
Surface Temperature (ST) is important in terms of surface energy and terrestrial water
balances affecting urban ecosystems. In this study, to process the nonlinear changes of …

[HTML][HTML] Mining eco-efficiency measurement and driving factors identification based on Meta-US-SBM in Guangxi province, China

Y Li, Z Zuo, D Xu, Y Wei - … Journal of Environmental Research and Public …, 2021 - mdpi.com
The mining industry is one of the pillar industries of Guangxi's economic and social
development. The output value of mining and related industries accounts for 27% of the …

[HTML][HTML] Temporal characterization of sand and dust storm activity and its climatic and terrestrial drivers in the Aral Sea region

W Wang, A Samat, J Abuduwaili, Y Ge… - Atmospheric …, 2022 - Elsevier
Abstract As the Aral Sea shrinks, the lakebeds are gradually drying up, and the newborn
Aralkum Desert (AD) has become one of the most active sands and dust storms (SDS) …

[HTML][HTML] Examining the Spatial Mode, Supply–Demand Relationship, and Driving Mechanism of Urban Park Green Space: A Case Study from China

K Zhao, C Chen, J Wang, K Liu, F Wu, X Cao - Forests, 2024 - mdpi.com
Park green space is a big part of public infrastructure in cities, and how to evaluate and
optimize the mismatch of urban park green space (UPGS) has become the focus of current …