Applying Multi-Sensor Satellite Data to Identify Key Natural Factors in Annual Livestock Change and Winter Livestock Disaster (<i>Dzud</i>) in Mongolian Nomadic Pasturelands

Applying Multi-Sensor Satellite Data to Identify Key Natural Factors in Annual Livestock Change and Winter Livestock Disaster (<i>Dzud</i>) in Mongolian Nomadic Pasturelands

In the present study, we tested the applicability of multi-sensor satellite data to account for key natural factors of annual livestock number changes in county-level <i>soum</i> districts of Mongolia. A schematic model of nomadic landscapes was developed and used to select potential dri...

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Bibliographic Details
Main Authors: Sinkyu Kang, Nanghyun Cho, Amartuvshin Narantsetseg, Bolor-Erdene Lkhamsuren, Otgon Khongorzul, Tumendemberel Tegshdelger, Bumsuk Seo, Keunchang Jang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Land
Subjects:
livestock change
natural factor
multi-sensor satellite data
multivariate analysis
machine learning
Online Access:https://www.mdpi.com/2073-445X/13/3/391
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