Results 31 to 40 of about 1,425 (175)
Accurate, rapid, and automatic local climate zone (LCZ) mapping is essential for urban climatology and studies in terms of urban heat islands. Remotely sensed imageries incorporated with machine learning algorithms are widely utilized in LCZ labeling ...
Ziyu Wang +5 more
doaj +1 more source
Exploring How Street-Level Images Help Enhance Remote-Sensing-Based Local Climate Zone Mapping
The local climate zone (LCZ) classification scheme is effective for climatic studies, and thus, timely and accurate LCZ mapping becomes critical for scientific climate research. Remote sensing images can efficiently capture the information of large-scale
Cai Liao +4 more
doaj +1 more source
The Local Climate Zone (LCZ) provides a systematic approach for analyzing the differences in urban thermal environment. However, given the scarcity of accessible multi-year LCZ maps, studying the long-term thermal differences among LCZs remains ...
Xiang Liu +3 more
doaj +1 more source
The main factors influencing the spatiotemporal variability of urban climate are quite widely recognized, including, for example, the thermal properties of materials used for surfaces and buildings, the mass, height and layout of the buildings themselves
Jan Geletič +2 more
doaj +1 more source
Standardized delimiting of local climate zones (LCZ) will be better applicable to the urban adaptation to climate change when the ecohydrological properties of LCZ units are known.
Jan Kopp +4 more
doaj +1 more source
A one-year data set for the year 2015 of near-surface air temperature (T$T$), crowdsourced from ‘Netatmo’ citizen weather stations (CWS) in Berlin, Germany, and surroundings was analysed. The CWS data set, which has been quality-checked and filtered in a
Daniel Fenner +4 more
doaj +1 more source
It has become undeniable that global land surface temperature (LST) has continued to rise in recent years. The threat of extreme heat to humans has become self-evident, especially in arid regions.
Xueling Zhang +6 more
doaj +1 more source
Machine Learning Accelerates Crystallization for Structure Determination
Single‐crystal X‐ray diffraction (SCXRD) is often constrained by the difficulty of obtaining suitable crystals. Here, a machine learning‐accelerated co‐crystal discovery workflow is established for a crystalline mate strategy that achieves over 95% prediction accuracy and experimentally delivers 114 co‐crystals from 120 candidates.
Cui‐Zhou Luan +10 more
wiley +2 more sources
Multisource remote sensing and geographic information system (GIS) data have contributed powerfully to the large-scale automated mapping of local climate zones (LCZs).
Chaomin Chen +2 more
doaj +1 more source
A Literature Survey of Local Climate Zone Classification: Status, Application, and Prospect
Rapid urban expansion and climate change have prompted further investigations into urban thermal climates and the development of local climate zone (LCZ) classification systems. LCZs, proposed 10 years ago, comprise a new and systematic classification of
Wenyun Feng, Jianjun Liu
doaj +1 more source

