Vegetation Coverage Change Trend in Inner Mongolia of China during 1998-2008

2011 ◽  
pp. 159-163
Author(s):  
Lei Cao ◽  
Jianhua Xu ◽  
Yang Yang
Keyword(s):  
Inner Mongolia ◽  
Vegetation Coverage ◽  
Change Trend

scholarly journals A spatial and temporal analysis on NDVI in Urad grassland during 2010-2019 over remote sensing

2021 ◽  
Vol 336 ◽  
pp. 06029
Author(s):  
Yueying Zhang ◽  
Tiantian Liu ◽  
Yuxi Wang ◽  
Ming Zhang ◽  
Yu Zheng
Keyword(s):  
Remote Sensing ◽  
Trend Analysis ◽  
Temporal Analysis ◽  
Vegetation Coverage ◽  
Analysis Method ◽  
Modis Ndvi ◽  
The Past ◽  
Spatial And Temporal Analysis ◽  
Change Trend ◽  
Temporal And Spatial

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.

Spatio-temporal dynamics of vegetation coverage and its relationship with climate factors in Inner Mongolia, China

2013 ◽  
Vol 23 (2) ◽  
pp. 231-246 ◽  
Author(s):  
Shaojie Mu ◽  
Hongfei Yang ◽  
Jianlong Li ◽  
Yizhao Chen ◽  
Chengcheng Gang ◽  
...  
Keyword(s):  
Inner Mongolia ◽  
Temporal Dynamics ◽  
Vegetation Coverage ◽  
Climate Factors ◽  
Spatio Temporal ◽  
Dynamics Of Vegetation

Research on Wind Erosion of Xilamuren Grassland, Inner Mongolia

2014 ◽  
Vol 955-959 ◽  
pp. 3505-3508 ◽  
Author(s):  
Tian Ming Gao ◽  
Rui Qiang Zhang ◽  
Jian Ying Guo
Keyword(s):  
Inner Mongolia ◽  
Wind Erosion ◽  
Initial Period ◽  
Northern China ◽  
Vegetation Coverage ◽  
Available Phosphorus ◽  
Grassland Vegetation ◽  
Available Nitrogen ◽  
Vegetation Height ◽  
Degraded Grassland

In northern China, grassland has degraded severely and wind erosion occurs remarkably due to irrational land use in recent years. By employing sand sampler and mobile wind tunnel, an observation for 6 years was made to analyze the mechanisms of wind erosion in Xilamuren grassland, the central of Yinshan Mountains, Inner Mongolia. Results show that: (1) vegetation is the decisive factor for controlling wind erosion and the inhibiting effect of vegetation height on wind erosion is greater than that of vegetation coverage. (2) Wind erosion modulus in the initial period of enclosure reaches 1313.7 t km-2a-1 and with the improvement of the grassland vegetation, wind erosion decreases year by year. (3) For every 1000 kg soil eroded by wind, 15 kg organic matter, 227g available nitrogen, 262g available phosphorus and 120g available potassium lose in the region at the same time, being a tremendous fertility loss. Therefore, the protection of base grassland and restoration of degraded grassland are two fundamental approaches to control wind erosion on the grassland.

scholarly journals ANALYSIS ON TEMPORAL-SPATIAL CHANGES OF VEGETATION CVERRGE IN FARMING-PASTORAL ECOTONE OF INNER MONGOLIA

2018 ◽  
Vol XLII-3 ◽  
pp. 2053-2057
Author(s):  
X. Yan ◽  
J. Li ◽  
Z. Yang
Keyword(s):  
Inner Mongolia ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Dynamic Change ◽  
Animal Husbandry ◽  
Vegetation Coverage ◽  
Total Change ◽  
Vegetation Growth ◽  
Spatial Changes ◽  
Decomposition Models

Chen Barag Banner is located in the typical farming-pastoral ecotone of Inner Mongolia, and it is also the core area of Hulunbuir steppe. Typical agricultural and pastoral staggered production mode so that the vegetation growth of the region not only determines the local ecological environment, and animal husbandry production, but also have a significant impact on the whole Hulunbuir ecological security and economic development. Therefore, it is necessary to monitor the change of vegetation in this area. Based on 17 MODIS Normalized Difference Vegetation Index (NDVI) images, the authors reconstructed the dynamic change characteristics of Fraction vegetation coverage（FVC）in Chen Barag Banner from 2000 to 2016. In this paper, first at all, Pixel Decomposition Models was introduced to inversion FVC, and the time series of vegetation coverage was reconstructed. Then we analyzed the temporal-spatial changes of FVC by employing transition matrix. Finally, through image analyzing and processing, the results showed that the vegetation coverage in the study area was influenced by effectors including climate, topography and human actives. In the past 17 years, the overall effect of vegetation coverage showed a downward trend of fluctuation. The average vegetation coverage decreased from 58.81 % in 2000 to 48.14 % in 2016, and the area of vegetation cover degradation accounts for 40.09 % of the total change area. Therefore, the overall degradation trend was obvious.

Remote Sensing Monitoring Research of Multi-Temporal Desertfication Based on Spectral Mixture Analysis: A Case Study of Wuda, Inner Mongolia, China

2014 ◽  
Vol 1065-1069 ◽  
pp. 2282-2286
Author(s):  
Feng Li ◽  
Han Dong Liang ◽  
Fen Ge Wang ◽  
Ping Song
Keyword(s):  
Inner Mongolia ◽  
Dynamic Change ◽  
Spectral Mixture Analysis ◽  
Vegetation Coverage ◽  
Mixture Analysis ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
Vegetation Water ◽  
Spectral Mixture

Using three TM images of 1991, 2004 and one OLI image of 2014 as data sources, we extracted dynamic change information of desertification land during 23 years in Wuda district in Inner Mongolia, discussed spatio-temporal evolution processes of desertification land of this area aiming to provide decision-making references for desertification control and eco-environmental restoration and reconstruction. Abundance Maps of sand, vegetation, water and low albedo were derived based on linear spectral mixture analysis (SMA). Owing to the nice correlation between vegetation abundance and vegetation coverage, vegetation abundance was used to extract desertification land types. The results show that, during the past of 23 years, the total desertification area decreased by 114.23 square kilometers, particularly for the extremely severe desertification. The reducing desertification land mostly transformed into non-desertified land, such as water, coal and residential region, due to human intensive development activities.

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