During the past decades, multiple remote sensing data sources, including nighttime light
images, high spatial resolution multispectral satellite images, unmanned drone images, and …

The knowledge of impervious surfaces, especially the magnitude, location, geometry, spatial
pattern of impervious surfaces and the perviousness–imperviousness ratio, is significant to a …

Land use and land cover (LULC) change has been one of the most immense and
perceptible transformations of the earth's surface. Evaluating LULC change at varied spatial …

Land surface temperature (LST) is a crucial parameter in investigating environmental,
ecological processes and climate change at various scales, and is also valuable in the …

In using traditional digital classification algorithms, a researcher typically encounters serious
issues in identifying urban land cover classes employing high resolution data. A normal …

Although map** activities of urban land change have been widely carried out, detailed
information on urban development in time over rapid urbanization areas would have been …

Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Remote sensing of urban heat islands (UHIs) has traditionally used the Normalized
Difference Vegetation Index (NDVI) as the indicator of vegetation abundance to estimate the …

This book provides a comprehensive discussion on urban growth and sprawl, and how they
can be analyzed using remote sensing imageries. It compiles views of numerous …

Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second
Edition, is a thoroughly updated application-based reference that provides a single source …