Radar remote sensing reveals potential underestimation of rainfall erosivity at the global scale.

Rainfall kinetic energy (RKE) constitutes one of the most critical factors that drive rainfall erosivity on surface soil. Direct measurements of RKE are limited, relying instead on the empirical relations between kinetic energy and rainfall intensity ( relation), which have not been well regionalized for data-scarce regions. Here, we present the first global rainfall microphysics-based RKE () flux retrieved from radar reflectivity at different frequencies.

Geographic modeling and simulation systems for geographic research in the new era: Some thoughts on their development and construction.

Regionality, comprehensiveness, and complexity are regarded as the basic characteristics of geography. The exploration of their core connotations is an essential way to achieve breakthroughs in geography in the new era. This paper focuses on the important method in geographic research: Geographic modeling and simulation.

Taiwan has shifted to being a net CO exporter since the mid-1990s.

With the integration of the global economy and increased international trade, CO emissions embodied in trade have attracted broad attention. In this study, we examined Taiwan's CO emissions embodied in its imports and exports with its 167 trade partners from 1970 to 2015 using the emissions embodied in bilateral trade (EEBT) method. The results show that since the mid-1990s, Taiwan has shifted to being a net CO emissions exporter.

Remote sensing estimation of chlorophyll-a concentration in Taihu Lake considering spatial and temporal variations.

The estimation of chlorophyll-a concentrations (Chla) in lakes using remote sensing is convenient, but its use remains challenging in large eutrophic water bodies due to the great spatial and temporal variations of its optical properties. Combining the sampling location and date information with Chla data, this study divided the lake water into three types, I, II and III, and then built an optimal Chla estimation model for each type based on 11 datasets collected from 2004 to 2012 in Taihu Lake, China. The resultant model expression is Chla = exp (ax + bx + c), where x is R701/R677, (1/R686-1/R695) × R710 and (R690/R550-R675/R700) / (R690/R550 + R675/R700).

Remote observation of water clarity patterns in Three Gorges Reservoir and Dongting Lake of China and their probable linkage to the Three Gorges Dam based on Landsat 8 imagery.

The Secchi disk depth (Z) plays a critical role in describing water clarity. Several studies have shown linkages between Three Gorges Dam (TGD) and the downstream lacustrine ecosystem in the middle and lower Yangtze River basin. However, the potential influence on the Z fluctuation in the entire anthropogenic reservoirs of Three Gorges (ER) and Dongting Lake (DTL) has not been reported, possibly due to technical obstacles in obtaining statistically significant spatial and temporal results.

Spatio-Temporal Constrained Human Trajectory Generation from the PIR Motion Detector Sensor Network Data: A Geometric Algebra Approach.

Passive infrared (PIR) motion detectors, which can support long-term continuous observation, are widely used for human motion analysis. Extracting all possible trajectories from the PIR sensor networks is important. Because the PIR sensor does not log location and individual information, none of the existing methods can generate all possible human motion trajectories that satisfy various spatio-temporal constraints from the sensor activation log data.