Batunacun

Publications10
h-index5
Citations111
Highly Influential Citations1
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Identifying drivers of land degradation in Xilingol, China, between 1975 and 2015
Abstract Land degradation occurs in all kinds of landscapes over the world, but the drivers of land degradation vary from region to region. Identifying these drivers at the appropriate spatial scale… Expand
  • 15
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An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support
TLDR
We propose a land-use/land-cover type discrimination method based on a classification and regression tree, apply change-vector analysis in posterior probability space (CVAPS) and the best histogram maximum entropy method for change detection, and further improve the accuracy of the land-updating results in combination with NDVI timing analysis, which indicates the annual growth of ground vegetation. Expand
  • 26
Land‐use change and land degradation on the Mongolian Plateau from 1975 to 2015—A case study from Xilingol, China
  • 36
Assessment of Land-Use and Land-Cover Change in Guangxi, China
It is increasingly acknowledged that land-use and land-cover change has become a key subject that urgently needs to be addressed in the study of global environmental change. In the present study,… Expand
  • 19
An Analysis of Land-Use and Land-Cover Change in the Zhujiang–Xijiang Economic Belt, China, from 1990 to 2017
Land-use and land-cover change (LUCC) are currently contested topics in the research of global environment change and sustainable change. Identifying the historic land-use change process is important… Expand
  • 8
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Determination of 137Cs reference inventories in a large-scale region: A case study in the central-eastern Inner Mongolia Plateau
In isotope 137Cs tracing studies, it is a premise to determine suitable 137Cs reference inventory (CRI) plots and the CRI values. Owing to the heterogeneous spatial distribution of 137Cs deposition… Expand
  • 3
Using SHAP to interpret XGBoost predictions of grassland degradation in Xilingol, China
Abstract. Machine learning (ML) and data-driven approaches are increasingly used in many research areas. XGBoost is a tree boosting method that has evolved into a state-of-the-art approach for many… Expand
  • 1
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Evaluations of water yield and soil erosion in the Shaanxi-Gansu Loess Plateau under different land use and climate change scenarios
Abstract More water yield and less soil erosion are crucial to the sustainable development of the Loess Plateau and Yellow River basin. Different land use policies and climate change scenarios may… Expand
  • 3
The relationship between vegetation characteristics and hydro鄄thermic factors along the Ulanbattar鄄Xilinhot Grassland Transect of the Mongolian Plateau
During August of 2012, the research team carried out a field exploration of the Ulanbattar鄄Xilinhot Grassland Transect on the Mongolian Plateau. The transect was split into three parts according to… Expand
Modelling land use and land cover change on the Mongolian Plateau
  • Batunacun
  • Environmental Science
  • 8 December 2020