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 …

Detailed urban land use land cover classification at the metropolitan scale using a three-layer classification scheme

G Cai, H Ren, L Yang, N Zhang, M Du, C Wu - Sensors, 2019 - mdpi.com
Urban Land Use/Land Cover (LULC) information is essential for urban and environmental
management. It is, however, very difficult to automatically extract detailed urban LULC …

Classifying urban land use by integrating remote sensing and social media data

X Liu, J He, Y Yao, J Zhang, H Liang… - International Journal …, 2017 - Taylor & Francis
Urban land use information plays an important role in urban management, government
policy-making, and population activity monitoring. However, the accurate classification of …

Urban land use land cover classification based on GF-6 satellite imagery and multi-feature optimization

X Wei, W Zhang, Z Zhang, H Huang… - Geocarto …, 2023 - Taylor & Francis
Urban land use/land cover (LULC) classification has long been a hotspot for remote sensing
applications. With high spatio-temporal resolution and multispectral, the recently launched …

Comparison of land use land cover classifiers using different satellite imagery and machine learning techniques

S Basheer, X Wang, AA Farooque, RA Nawaz, K Liu… - Remote Sensing, 2022 - mdpi.com
Accurate land use land cover (LULC) classification is vital for the sustainable management
of natural resources and to learn how the landscape is changing due to climate. For …

Google Earth Engine for large-scale land use and land cover mapping: An object-based classification approach using spectral, textural and topographical factors

H Shafizadeh-Moghadam, M Khazaei… - GIScience & Remote …, 2021 - Taylor & Francis
Mapping the distribution and type of land use and land cover (LULC) is essential for
watershed management. The Tigris-Euphrates basin is a transboundary region in the Middle …

Mapping urban land use by using landsat images and open social data

T Hu, J Yang, X Li, P Gong - Remote sensing, 2016 - mdpi.com
High-resolution urban land use maps have important applications in urban planning and
management, but the availability of these maps is low in countries such as China. To …

Rapid Land Cover Classification Using a 36-Year Time Series of Multi-Source Remote Sensing Data

X Yan, J Li, AR Smith, D Yang, T Ma, Y Su - Land, 2023 - mdpi.com
Long time series land cover classification information is the basis for scientific research on
urban sprawls, vegetation change, and the carbon cycle. The rapid development of cloud …

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 …

Evaluating Landsat-8, Landsat-9 and Sentinel-2 imageries in land use and land cover (LULC) classification in a heterogeneous urban area

S Jombo, S Adelabu - GeoJournal, 2023 - Springer
Land use and land cover (LULC) mapping is important for sustainable land management
and has received great attention from researchers over the years. Classifying satellite …