The 30 m resolution US Department of Agriculture (USDA) crop data layer (CDL) is a widely
used crop type map for agricultural management and assessment, environmental impact …

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 …

Satellite-based forest alert systems are an important tool for ecosystem monitoring, planning
conservation, and increasing public awareness of forest cover change. Continuous …

The emergence of crowdsourced geographic information (CGI) has markedly accelerated
the evolution of land-use and land-cover (LULC) mapping. This approach taps into the …

The fusion of optical and synthetic aperture radar (SAR) images is a promising method to
extract urban impervious surface (IS) accurately. Previous studies have shown that the …

Since impervious surface is one of the core urban ecological indices, its high-precision time
series monitoring at regional or global scales is highly desirable. Spectral features, spatial …

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

Increases in the area of impervious surfaces have occurred with urbanization. Such surfaces
are an important indicator of urban expansion and the natural environment. The automatic …

Rapidly and accurately extracting built-up areas is an essential prerequisite of urbanization
research. There have been many studies on the extraction of built-up areas using remote …

Timely and rapidly mapping impervious surface area (ISA) and monitoring its spatial-
temporal change pattern can deepen our understanding of the urban process. However, the …