Haohuan Fu

TL;DR: In this article, the first 30 m resolution global land cover maps using Landsat Thematic Mapper TM and enhanced thematic mapper plus ETM+ data were produced. And the authors used four classifiers that were freely available were employed, including the conventional maximum likelihood classifier MLC, J4.8 decision tree classifier, Random Forest RF classifier and support vector machine SVM classifier.

TL;DR: In this article, a combination of water-quality observations and simulated nitrogen discharge from agricultural and other sources was used to estimate spatial patterns of nitrogen discharge into water bodies across China from 1955 to 2014.

TL;DR: Preliminary efforts on developing and optimizing applications on the TaihuLight system are reported, focusing on key application domains, such as earth system modeling, ocean surface wave modeling, atomistic simulation, and phase-field simulation.

TL;DR: A deep learning based framework for oil palm tree detection and counting using high-resolution remote sensing images for Malaysia, where more than 96% of the oil palm trees in the study area can be detected correctly when compared with the manually interpreted ground truth, and this is higher than the accuracies of the other three tree detection methods.