Remotely Monitoring Terrestrial Carbon, Water and Energy Fluxes in Ecologically Sensitive Areas Ⅱ

Dear Colleagues,

Since its establishment in 2003, the US–China Carbon Consortium (USCCC) has brought together scientists from different institutions and universities in the United States, China, and other countries to participate in this important research area. Following the objectives to explore the mechanism of the disturbed ecosystem process and the changing trend in the context of global climate change, the 18th USCCC Annual Meeting will be held in Wuhan, China, from 21 to 24 October 2022. This year's annual meeting will be based on the USCCC's mission to provide an open and collaborative academic exchange platform for research on ecosystems, including ecosystem water, heat, carbon flux processes, mechanisms, simulations, responses to climate change and human activities, as well as adaptive management.

This Special Issue celebrates the 18th Annual Meeting of USCCC, showcasing the depth and variety of research that it enables. We invite the following contributions based on various datasets (e.g., remote sensing such as optical remote sensing, microwave remote sensing, lidar, solar-induced chlorophyll fluorescence, and field observation data such as eddy-covariance, transect sampling) and techniques (e.g., synergy and integration of various remotely sensed data, model–data fusion). Target variables include, but are not limited to, the following: net ecosystem exchange and its components including gross primary productivity and respiration, evapotranspiration and its partitioning in transpiration and evaporation, water use efficiency, or vegetation photosynthesis. In particular, manuscripts are encouraged to focus on the ecologically sensitive areas globally, not just in the United States or China. The topics may include but are not limited to the following:

• Estimating land-surface carbon, water, and energy fluxes across multiple spatiotemporal scales;
• Intercomparison of multiple-source remote sensing products based on various ecosystem models;
• Joint forcing by climate factors and human activities on terrestrial carbon, water, and energy cycles;
• The impacts from extreme events (e.g., drought, flood, wildfire) to better understand and model ecosystem responses;
• Remote-sensing analysis of the effect of land use/land cover changes on various land-surface mass and energy exchange;
• Novel approaches to advance the field such as deep learning algorithms and combinations of data-driven and mechanistic models.

Prof. Dr. Shaoqiang Wang
Prof. Dr. Jiquan Chen
Dr. Ge Sun
Dr. Changliang Shao
Guest Editors

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