Use of machine learning-based classification algorithms in the monitoring of Land Use and Land Cover practices in a hilly terrain

D Parashar, A Kumar, S Palni, A Pandey… - Environmental …, 2024 - Springer
The current high rate of urbanization in developing countries and its consequences, like
traffic congestion, slum development, scarcity of resources, and urban heat islands, raise a …

Urban land use and land cover classification using remotely sensed SAR data through deep belief networks

Q Lv, Y Dou, X Niu, J Xu, J Xu, F Xia - Journal of Sensors, 2015 - Wiley Online Library
Land use and land cover (LULC) mapping in urban areas is one of the core applications in
remote sensing, and it plays an important role in modern urban planning and management …

High-resolution urban land mapping in China from sentinel 1A/2 imagery based on Google Earth Engine

Z Sun, R Xu, W Du, L Wang, D Lu - Remote Sensing, 2019 - mdpi.com
Accurate and timely urban land mapping is fundamental to supporting large area
environmental and socio-economic research. Most of the available large-area urban land …

Land cover classification in Thailand's Eastern Economic Corridor (EEC) using convolutional neural network on satellite images

PR Emparanza, N Hongkarnjanakul… - Remote Sensing …, 2020 - Elsevier
Land cover plays an integral role in urban management as a source of information to
support authorities' decision making. Recently, computer vision methods, machine learning …

Mapping 10-m resolution rural settlements using multi-source remote sensing datasets with the Google Earth Engine platform

H Ji, X Li, X Wei, W Liu, L Zhang, L Wang - Remote Sensing, 2020 - mdpi.com
Timely and accurate information on rural settlements is essential for rural development
planning. Remote sensing has become an important means for accurately mapping large …

[HTML][HTML] Spatio-temporal land-use/land-cover change dynamics in coastal plains in Hangzhou Bay Area, China from 2009 to 2020 using Google Earth engine

Y Zhao, R An, N Xiong, D Ou, C Jiang - Land, 2021 - mdpi.com
Land-use classification is fundamental for environmental and water resource evaluation in
coastal plain areas. However, comprehensive remote sensing image-based land-use …

Mapping urban bare land automatically from Landsat imagery with a simple index

H Li, C Wang, C Zhong, A Su, C Xiong, J Wang, J Liu - Remote Sensing, 2017 - mdpi.com
In recent years, hundreds of Earth observation satellites have been launched to collect
massive amounts of remote sensing images. However, the considerable cost and time to …

Dimensionality reduction and feature selection for object-based land cover classification based on Sentinel-1 and Sentinel-2 time series using Google Earth Engine

O Stromann, A Nascetti, O Yousif, Y Ban - Remote Sensing, 2019 - mdpi.com
Mapping Earth's surface and its rapid changes with remotely sensed data is a crucial task to
understand the impact of an increasingly urban world population on the environment …

A comparison of machine learning algorithms for mapping of complex surface-mined and agricultural landscapes using ZiYuan-3 stereo satellite imagery

X Li, W Chen, X Cheng, L Wang - Remote sensing, 2016 - mdpi.com
Land cover mapping (LCM) in complex surface-mined and agricultural landscapes could
contribute greatly to regulating mine exploitation and protecting mine geo-environments …

A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method

Y Xu, B Zhou, S Jin, X Xie, Z Chen, S Hu… - … , Environment and Urban …, 2022 - Elsevier
Land-use classification plays an important role in urban planning and resource allocation
and had contributed to a wide range of urban studies and investigations. With the …