Jin Liu

TL;DR: The role of different plantation tree species in soil nutrient cycling is of great importance for the restoration of degraded lands as discussed by the authors, and the potential of Nfixing and non-N-fixing tree species to recuperate degraded land in southern China.

TL;DR: This study mapped the global forest AGB density at a 1-km resolution through the integration of ground inventory data, optical imagery, Geoscience Laser Altimeter System/Ice, Cloud, and Land Elevation Satellite data, climate surfaces, and topographic data and showed good agreements with these regional AGB products, but some of the regional A GB products tended to underestimate forest A GB density.

TL;DR: Wang et al. as mentioned in this paper implemented a low-cost UAV-borne lidar system, including both a hardware system and a software system, to collect and process lidar data for biodiversity studies.

TL;DR: The results showed that the method combing deep leaning and regional growth algorithms was promising in individual maize segmentation, and the values of r, p, and F of the three testing sites with different planting density were all over 0.9.

TL;DR: A median normalized-vector growth (MNVG) algorithm, which can segment stem and leaf with four steps, i.e., preprocessing, stem growth, leaf growth, and postprocessing, is proposed, which may contribute to the study of LiDAR-based plant phonemics and precise agriculture.