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 …
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
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 …
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
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 …
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
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 …
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
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) …
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
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 …
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 …
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 …
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
Information about urban land use is important for urban planning and sustainable
development. The emergence of geospatial big data (GBD), increased the availability of …
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
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 …
images are commonly used for land cover classification but hardly identifies urban land use …