Abstract Land-Use/Land-Cover Time-Series Classification (LULC-TSC) is an important and
challenging problem in terrestrial remote sensing. Detecting change-points, dividing the …

Vector-based cellular automata (VCA) models have been applied in land use change
simulations at fine scales. However, the neighborhood effects of the driving factors are rarely …

Drought indices based on thermal remote sensing have been developed and have merit for
effective early warning of agricultural droughts, but approaches so far are relatively complex …

An accurate spatially continuous air temperature data set is crucial for multiple applications
in the environmental and ecological sciences. Existing spatial interpolation methods have …

The availability of high spatio-temporal resolution of urban air temperature is paramount for
understanding urban heat island (UHI) and develo** effective mitigation strategies, in …

Abstract The Hu Huanyong Line (Hu Line) shows an uneven geographical pattern of
urbanization between Southeast and Northwest China. Based on three questions proposed …

Large-scale crop map** is vitally important to agriculrural monitoring and management.
However, traditional methods cannot well meet the needs of large-scale applications …

The single‐channel (SC) algorithm has been widely used to retrieve land surface
temperature from Landsat series data for its simplicity and requirement of only one thermal …

Climate change is a major contemporary phenomenon with multiple consequences. In
urban areas, it exacerbates the urban heat island phenomenon. It impacts the health of the …

A high-accuracy, continuous air temperature (Ta) dataset with high spatiotemporal
resolution is essential for human health, disease prediction, and energy management …