Volume 19, issue 9 of the Journal of Mountain Science explores topics ranging from a comprehensive interpretation of glacier-related mass flows in the eastern Himalayan syntaxis to a machine learning model for snow depth estimation using a multisensory ubiquitous platform.
Other articles look at monitoring glaciers in the Chenab basin with SBAS InSAR technology, spatial patterns of leaf nitrogen and phosphorus stoichiometry across southeast to central Tibet, liveability experience of mountain-base residents: the case of Idi-Ori-Shasha Mountain, Ibadan, Nigeria, and morphological characteristics of rock fissure networks and the main factors affecting their soil nutrients and enzyme activities in Guizhou Province, China, among many other topics.
The Journal of Mountain Science (JMS) is an international English-language journal on mountain sciences. It publishes research and technical papers on mountain environment, mountain ecology, mountain hazards, mountain resources, and sustainable mountain development.
The JMS is supervised by the Chinese Academy of Sciences (CAS), sponsored by the Chengdu Institute of Mountain Hazards and Environment, CAS, published by Science Press China, and distributed by Springer exclusively throughout the world (excluding Mainland China).
Cover image by Ben Gao.
