Availability of very high-resolution remote sensing images and advancement of deep
learning methods have shifted the paradigm of image classification from pixel-based and …

Observation of surface water is a functional requirement for studying ecological and
hydrological processes. Recent advances in satellite‐based optical remote sensors have …

Scientific contributions from remote sensing over the last fifty years have significantly
advanced our understanding of urban areas. Key contributions of urban remote sensing …

The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …

Urban impervious surface coverage is an important parameter to understand effects of hydro-
environment on the process of urbanization. Impervious surfaces have altered urban …

This paper reviewed major remote sensing image classification techniques, including pixel-
wise, sub-pixel-wise, and object-based image classification methods, and highlighted the …

The present study unveils the environmental impacts of land cover changes upon land
surface temperature (LST) in Rajshahi division, Bangladesh, focusing on human thermal …

The normalized difference built-up index (NDBI) has been useful for mapping urban built-up
areas using Landsat Thematic Mapper (TM) data. The applicability of this index to the newer …

Spectral unmixing is the process of decomposing the spectral signature of a mixed pixel into
a set of endmembers and their corresponding abundances. Endmembers are spectra of the …

The impact of urban spatial form on infrastructure investment and ecological environment is
as important as that of urban social and economic factors. It is of great significance to study …