Comparison of machine-learning methods for urban land-use mapping in Hangzhou city, China

W Mao, D Lu, L Hou, X Liu, W Yue - Remote Sensing, 2020 - mdpi.com
Urban land-use information is important for urban land-resource planning and management.
However, current methods using traditional surveys cannot meet the demand for the rapid …

Grid-Based Essential Urban Land Use Classification: A Data and Model Driven Mapping Framework in Xiamen City

X Wang, B Chen, X Li, Y Zhang, X Ling, J Wang, W Li… - Remote Sensing, 2022 - mdpi.com
Accurate and timely mapping of essential urban land use categories (EULUC) is vital to
understanding urban land use distribution, pattern, and composition. Recent advances in …

Regional mapping of essential urban land use categories in China: A segmentation-based approach

Y Tu, B Chen, T Zhang, B Xu - Remote Sensing, 2020 - mdpi.com
Understanding distributions of urban land use is of great importance for urban planning,
decision support, and resource allocation. The first mapping results of essential urban land …

A combined convolutional neural network for urban land-use classification with GIS data

J Yu, P Zeng, Y Yu, H Yu, L Huang, D Zhou - Remote Sensing, 2022 - mdpi.com
The classification of urban land-use information has become the underlying database for a
variety of applications including urban planning and administration. The lack of datasets and …

Mapping essential urban land use categories in Beijing with a fast area of interest (AOI)-based method

X Li, T Hu, P Gong, S Du, B Chen, X Li, Q Dai - Remote Sensing, 2021 - mdpi.com
Urban land use mapping is critical to understanding human activities in space. The first
national mapping result of essential urban land use categories of China (EULUC-China) …

An ensemble learning approach for urban land use mapping based on remote sensing imagery and social sensing data

Z Huang, H Qi, C Kang, Y Su, Y Liu - Remote Sensing, 2020 - mdpi.com
Urban land use mapping is crucial for effective urban management and planning due to the
rapid change of urban processes. State-of-the-art approaches rely heavily on the …

Mapping essential urban land use categories in nanjing by integrating multi-source big data

J Sun, H Wang, Z Song, J Lu, P Meng, S Qin - Remote Sensing, 2020 - mdpi.com
High-spatial-resolution (HSR) urban land use maps are very important for urban planning,
traffic management, and environmental monitoring. The rapid urbanization in China has led …

Detailed mapping of urban land use based on multi-source data: a case study of lanzhou

L Zong, S He, J Lian, Q Bie, X Wang, J Dong, Y Xie - Remote Sensing, 2020 - mdpi.com
Detailed urban land use information is the prerequisite and foundation for implementing
urban land policies and urban land development, and is of great importance for solving …

Decision-level and feature-level integration of remote sensing and geospatial big data for urban land use mapping

J Yin, P Fu, NAS Hamm, Z Li, N You, Y He… - Remote Sensing, 2021 - mdpi.com
Information about urban land use is important for urban planning and sustainable
development. The emergence of geospatial big data (GBD), increased the availability of …

Urban land use and land cover classification using multisource remote sensing images and social media data

Y Shi, Z Qi, X Liu, N Niu, H Zhang - Remote Sensing, 2019 - mdpi.com
Land use and land cover (LULC) are diverse and complex in urban areas. Remotely sensed
images are commonly used for land cover classification but hardly identifies urban land use …