Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …

Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …

The rapid growth of remote sensing big data (RSBD) has attracted considerable attention
from both academia and industry. Despite the progress of computer technologies …

Snow cover map** algorithms utilizing multispectral satellite data at various spatial
resolutions are available, each treating subpixel variation differently. Past evaluations of …

This paper reviews the current GeoAI and machine learning applications in hydrological and
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …

Snow is a critical water resource for the western United States and many regions across the
globe. However, our ability to accurately measure and monitor changes in snow mass from …

Precise large-area crop map** products are the foundation for cropland monitoring,
market policy decision-making, and subsequent agricultural applications. However, owing to …

Abstract Snow cover in Northeast China (NC) is not only a vital variable in water availability
but also a significant indicator of climate change. Limited by the short time span, incomplete …

Accurate estimation of snow-covered area (SCA) is vital for effective water resource
management, especially in snowmelt-dependent regions like the Kabul River Basin (KRB). It …

The science of mountainous hydrology spans the atmosphere through the bedrock and
inherently crosses physical and disciplinary boundaries: land–atmosphere interactions in …