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A study on the measurement and influencing factors of carbon emissions in China's construction sector
Y Sun, S Hao, X Long - Building and Environment, 2023 - Elsevier
China plays a significant role in global sustainable development. The construction sector is
not solely the backbone of China's economy, but also one of the most carbon-emitting …
not solely the backbone of China's economy, but also one of the most carbon-emitting …
[HTML][HTML] Spatial correlation analysis between human disturbance intensity (HDI) and ecosystem services value (ESV) in the Chengdu-Chongqing urban agglomeration
M Ai, X Chen, Q Yu - Ecological Indicators, 2024 - Elsevier
The spatial correlation between human disturbances and ecosystem services carries
profound implications, serving as a pivotal tool for quantifying the magnitude of human …
profound implications, serving as a pivotal tool for quantifying the magnitude of human …
[HTML][HTML] A survey of change detection methods based on remote sensing images for multi-source and multi-objective scenarios
Y You, J Cao, W Zhou - Remote Sensing, 2020 - mdpi.com
Quantities of multi-temporal remote sensing (RS) images create favorable conditions for
exploring the urban change in the long term. However, diverse multi-source features and …
exploring the urban change in the long term. However, diverse multi-source features and …
Tempo-spatial changes and main anthropogenic influence factors of vegetation fractional coverage in a large-scale opencast coal mine area from 1992 to 2015
M Zhang, J Wang, S Li - Journal of Cleaner Production, 2019 - Elsevier
The surface soil and vegetation had been destroyed by opencast mining, leading the
decrease of the vegetation fractional coverage, which caused a severe damage to the …
decrease of the vegetation fractional coverage, which caused a severe damage to the …
Exploring new methods for assessing landscape ecological risk in key basin
S Li, B Tu, Z Zhang, L Wang, Z Zhang, X Che… - Journal of Cleaner …, 2024 - Elsevier
Scientific assessment of landscape ecological risk (LER) aims to optimize land use patterns
and mitigate regional ecological hazards. However, accurate LER assessment requires the …
and mitigate regional ecological hazards. However, accurate LER assessment requires the …
Retrieval of water quality parameters from hyperspectral images using a hybrid feedback deep factorization machine model
Y Zhang, L Wu, L Deng, B Ouyang - Water research, 2021 - Elsevier
Environmental protection of water resources is of critical importance to daily life of human
beings. In recent years, monitoring the variation of water quality using remote sensing …
beings. In recent years, monitoring the variation of water quality using remote sensing …
[HTML][HTML] Estimating soil water and salt contents from field measurements with time domain reflectometry using machine learning algorithms
H Wan, H Qi, S Shang - Agricultural Water Management, 2023 - Elsevier
Soil water and salt contents are key soil physical parameters that play a crucial role in soil-
related hydrological, ecological, environmental, and agricultural processes. Time domain …
related hydrological, ecological, environmental, and agricultural processes. Time domain …
[HTML][HTML] Selecting ecologically appropriate scales to assess landscape ecological risk in megacity Bei**g, China
B Li, Y Yang, L Jiao, M Yang, T Li - Ecological Indicators, 2023 - Elsevier
Assessing the landscape ecological risk (LER) will facilitate optimal planning of land-use
patterns and mitigating regional ecological risks, especially in megacities under rapid …
patterns and mitigating regional ecological risks, especially in megacities under rapid …
Data-driven approaches for spatio-temporal analysis: A survey of the state-of-the-arts
With the advancement of telecommunications, sensor networks, crowd sourcing, and remote
sensing technology in present days, there has been a tremendous growth in the volume of …
sensing technology in present days, there has been a tremendous growth in the volume of …
Analyzing urban traffic crash patterns through spatio-temporal data: A city-level study using a sparse non-negative matrix factorization model with spatial constraints …
Urban traffic crashes represent a significant challenge affecting public safety and urban
mobility worldwide. This study introduces a novel application of Sparse Non-negative Matrix …
mobility worldwide. This study introduces a novel application of Sparse Non-negative Matrix …