Dr. Ding Anxin
Section Collection Information
Dear Colleagues,
Climate change has become an important issue facing the world with global warming and extreme climate events. How to accurately observe and predict regional and global climate change trends has become the focus of researchers. Remote sensing technology has the advantage of observing the Earth’s surface on a large scale and has become an important means of monitoring and analyzing climate change. Vegetation changes have a significant impact on the regional and global ecological environment, which can predict the impact of environmental changes on vegetation and provide support for global food security. Remote sensing monitoring of snow changes, obtaining snow temperature, ice sheet height, and other parameters, can timely understand the regional and global climate change trend. A variety of climate change indicators (e.g., albedo, temperature, and rainfall) can be obtained through remote sensing technology, which helps to better understand regional and global climate change. Remote sensing monitoring of surface parameters can also timely understand weather changes and provide accurate predictions for flood, drought, urban environment, and agricultural yield estimation, which provides technical support for the protection of water resources and food security. To better monitor and analyze climate change and its impact on Earth-atmosphere systems. This section aims to land cover change (e.g., forest, grassland, soil, snow, and water), quantitative remote sensing product algorithm (e.g., land surface albedo, surface temperature, soil moisture, and leaf area index), satellite product data assimilation, long-term product dynamic analysis, regional and global climate change, environmental monitoring and analysis, and impacts of climate change on cities, agriculture, carbon, water, and snow.