Map** local climate zones for cities: A large review
The local climate zone (LCZ) system provides a universal classification mechanism for
urban and natural landscapes and plays an increasingly important role in urban climate …
urban and natural landscapes and plays an increasingly important role in urban climate …
[HTML][HTML] Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification
Abstract We present AiTLAS: Benchmark Arena–an open-source benchmark suite for
evaluating state-of-the-art deep learning approaches for image classification in Earth …
evaluating state-of-the-art deep learning approaches for image classification in Earth …
LCZ Generator: a web application to create Local Climate Zone maps
Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for
characterizing urban landscapes, providing a holistic classification approach that takes into …
characterizing urban landscapes, providing a holistic classification approach that takes into …
SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets]
Y Wang, NAA Braham, Z ** derived thermal environment exploration across Chinese climate …
Abstract The Local Climate Zone (LCZ) scheme representing urban structure and land use
pattern is essential for urban heat island (UHI) research. Fine-grained LCZ map** …
pattern is essential for urban heat island (UHI) research. Fine-grained LCZ map** …
Map** local climate zones and its applications at the global scale: A systematic review of the last decade of progress and trend
The concept of local climate zone (LCZ) was proposed in 2012 to meet the needs of
refinement and standardization of urban climate research. As an important contribution of …
refinement and standardization of urban climate research. As an important contribution of …
Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications—A comprehensive review
In the last decade, there has been a significant surge of interest in machine learning,
primarily driven by advancements in deep learning (DL). DL has emerged as a powerful …
primarily driven by advancements in deep learning (DL). DL has emerged as a powerful …
[HTML][HTML] MDAS: A new multimodal benchmark dataset for remote sensing
In Earth observation, multimodal data fusion is an intuitive strategy to break the limitation of
individual data. Complementary physical contents of data sources allow comprehensive and …
individual data. Complementary physical contents of data sources allow comprehensive and …