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A Spatial and Temporal Analysis on NDVI in Urad Grassland During 2010-2019 Over Remote Sensing
MATEC Web of Conferences 336, 06029 (2021) https://doi.org/10.1051/matecconf/202133606029 CSCNS2020 A spatial and temporal analysis on NDVI in Urad grassland during 2010-2019 over remote sensing Yueying Zhang, Tiantian Liu, Yuxi Wang, Ming Zhang, and Yu Zheng* Henan Key Lab Spatial Infor. Appl. Eco-environmental Protection, Zhengzhou, China Abstract. The temporal-spatial dynamic variation of vegetation coverage from 2010 to 2019 in Urad Grassland, Inner Mongolia has been investigated by analysing on MODIS NDVI remote sensing products. This paper applies pixel dichotomy approach and linear regression trend analysis method to analyze the temporal and spatial evolution trend of vegetation coverage over the past 10 years. The average annual vegetation coverage showed a downward trend in general from 2010 to 2019. The vegetation distribution and change trend analysis provide a thorough and scientific reference for policymaking in environmental protection. 1 Introduction Urad Grassland as the study area in this work is located in the northern foot of Yinshan Mountain in China, with dry and windy winter and high proportion of wind erosion and desertification land. At present, over 70% grassland is seriously degraded, which is the main sand source of sandstorm and poses a threat to ecological security in North China [1][2]. Therefore, it is not only a typical ecological fragile zone which is very sensitive to global change, but also a critical ecological barrier in the mainland. Fortunately, government has constantly funded billions of RMB in Urad Grassland since 2003 to encourage in closing grassland, restoring vegetation, returning grazing to grassland and reducing population density [1]. -
Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China
sustainability Article Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China Wenfeng Chi 1,2, Jing Jia 1,2, Tao Pan 3,4,5,* , Liang Jin 1,2 and Xiulian Bai 1,2 1 College of resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China; [email protected] (W.C.); [email protected] (J.J.); [email protected] (L.J.); [email protected] (X.B.) 2 Resource Utilization and Environmental Protection Coordinated Development Academician Expert Workstation in the North of China, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China 3 College of Geography and Tourism, Qufu Normal University, Shandong, Rizhao 276826, China 4 Department of Geography, Ghent University, 9000 Ghent, Belgium 5 Land Research Center of Qufu Normal University, Shandong, Rizhao 276826, China * Correspondence: [email protected]; Tel.: +86-1834-604-6488 Received: 19 July 2020; Accepted: 18 August 2020; Published: 21 August 2020 Abstract: Green space in intra-urban regions plays a significant role in improving the human habitat environment and regulating the ecosystem service in the Inner Mongolian Plateau of China, the environmental barrier region of North China. However, a lack of multi-scale studies on intra-urban green space limits our knowledge of human settlement environments in this region. In this study, a synergistic methodology, including the main process of linear spectral decomposition, vegetation-soil-impervious surface area model, and artificial digital technology, was established to generate a multi-scale of green space (i.e., 15-m resolution intra-urban green components and 0.5-m resolution park region) and investigate multi-scale green space characteristics as well as its ecological service in 12 central cities of the Inner Mongolian Plateau. -