Urban impervious surface (UIS) offers potentially valuable information for the development
of sustainable urban management strategies and environmental change monitoring actions …

Bare soil is a critical element in the urban landscape and plays an essential role in urban
environments. Yet, the separation of bare soil and other land cover types using remote …

Hyperspectral dimensionality reduction (HDR), an important preprocessing step prior to high-
level data analysis, has been garnering growing attention in the remote sensing community …

Owing to the limitation of spatial resolution and spectral resolution, deep learning methods
are rarely used for the classification of multispectral remote sensing images based on the …

This study explores the performance of Sentinel-2A Multispectral Instrument (MSI) imagery
for extracting urban impervious surface using a modified linear spectral mixture analysis …

The world has experienced widely distributed urbanization from local to global scales in the
past decades. Urban expansion can bring multiple benefits for urban inhabitants, however it …

Many spectral indices have recently been developed for accurate extraction of impervious
surfaces. Moreover, there are several 10-m global datasets available containing …

Numerous methods have been successfully applied to estimate the regional impervious
surface dynamics based on spectral or spatial information from remote sensing imagery …

Over the past three decades, China has experienced a rapid increase in built-up land,
causing widespread conversions of agricultural and natural land. Prior studies focused on …

The configuration of urban land-covers is essential for improving dwellers' environments and
ecosystem services. A city-level comparison of land-cover changes along the Belt and Road …