为了更好地了解中国定量遥感的发展态势和加强同行之间的信息交流, 根据中国学者2019
年发表的SCI 检索论文和部分中文论文, 对陆表定量遥感的核心进展进行了总结 …

Accurate understanding the spatiotemporal variability of snow cover and snow phenology
over High Mountain Asia (HMA) is of great interest because of their vital impacts on the …

The machine learning algorithm 'random forest'has been applied in many areas of water
resources research including discharge simulation. Due to low setup and operation cost …

The Himalaya, by virtue of its location and stupendous height, acts as a great climatic divide
and regulates meteorological conditions in the subcontinent regions of South Asia …

Geographic information such as the altitude, latitude, and longitude are common but
fundamental meta-records in remote sensing image products. In this paper, it is shown that …

Accurate snow cover data are critical for understanding the Earth's climate system, and
exploring hydrological processes and regional water resource management over High …

Harmful algal blooms (HABs) have long been a critical threat to environmental safety and
health, especially in inland lakes with rapidly growing socioeconomic development …

Snowfall, snowpack, and snowmelt are among the processes with the greatest influence on
the water cycle in mountainous watersheds. Hydrological models may be significantly …

Lakes and glaciers are widely distributed in the northwestern Tibetan Plateau. A
synchronized examination of lake and glacier mass variations there has not previously been …

Snow is a significant component of the ecosystem and water resources in high-mountain
Asia (HMA). Therefore, accurate, continuous, and long-term snow monitoring is …