HOU Jing, DU Lingtong, MA Jing, et al. A Study on Vegetation Coverage in Ningxia Hui Autonomous Region During Past 20 Years Based on Remote Sensing and Dimidiate Pixel Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(5): 127-132.
DOI:
HOU Jing, DU Lingtong, MA Jing, et al. A Study on Vegetation Coverage in Ningxia Hui Autonomous Region During Past 20 Years Based on Remote Sensing and Dimidiate Pixel Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(5): 127-132. DOI: 10.13961/j.cnki.stbctb.2015.05.089.
A Study on Vegetation Coverage in Ningxia Hui Autonomous Region During Past 20 Years Based on Remote Sensing and Dimidiate Pixel Model
[Objective] The aims of this study is to investigate the dynamic change of vegetation coverage and its response to climate change during the past 20 years in Ningxia Hui Autonomous Region in order to provide theoretical foundation and scientific basis for understanding the regional ecological change trend and evaluating of ecological engineering.[Methods] Remote sensing data used in the study was Landsat TM in 1992
2000
2006 and 2012. Based on dimidiate pixel model
different vegetation indices for estimating vegetation coverage was calculated
and the dynamic changes of vegetation coverage were monitored.[Results] High vegetation cover was found in the northern and southern parts of Ningxia Hui Autonomous Region
in contrast
the lowest vegetation cover was found in the middle part the region. Vegetation cover increased significantly during past 20 years
with the low vegetation cover area decreased gradually while the middle-and high-vegetation cover area increased about 6434 km2. The average vegetation cover in the whole region increased by 6%. In particular
vegetation cover in the Yellow River irrigation area of Northern Ningxia and mountainous area of Southern Ningxia increased by a large margin.[Conclusion] The vegetation increase in the study area is benefit from the implementation of a series of vegetation protection and ecological restoration projects in recent years. The annual change in vegetation coverage is mainly caused by the variation of precipitation.
Qi J, Marsett R C, Moran M S, et al. Spatial and temporal dynamics of vegetation in the San Pedro River basin area[J]. Agricultural and forest Meteorology, 2000,105(1):55-68.
Chander G, Markham B L, Helder D L. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM
+
, and EO-1ALI sensors[J]. Remote sensing of Environment, 2009,113(5):893-903.
Liu Jiyuan, Liu Mingliang, Zhuang Dafang, et al. Study on spatial pattern of land-use change in China during 1995-2000[J]. Science in China(Series D:Earth Sciences),2003,46(4):373-384.
Rundquist B C. The influence of canopy green vegetation fraction on spectral measurements over native tall grass prairie[J]. Remote Sensing of Environment, 2002,81(1):129-135.
Carlson T N, Ripley D A. On the relation between NDVI, fractional vegetation cover, and leaf area index[J]. Remote Sensing of Environment, 1997,62(3):241-252.
Spatiotemporal variation trends and driving factors of fractional vegetation cover in Jiangsu Province from 2013 to 2022
Using TM to Monitor the Desertification in West China
Remote Sensing Classification Method of Slope Field in Loess Hilly and Gully Area of Northern Shaanxi Province
Supervise of Eco-environmental Change Based on RS Methods and Causal Analysis in Maduo County in Upriver Regions of the Yellow River
Analysis of Soil Erosion Tendency in the Liaohe River Basin Using Remote Sensing and GIS
Related Author
Zhu Ji
Deng Furong
Zhao Chenxu
Liu Xingran
WEI Ya-xing
WANG Li-wen
WANG Yi-mou
LIU Yong-mei
Related Institution
Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring/School of Land Science and Space Planning, Hebei GEO University
Department of Graduate Student, Changan University, Xian
Department of Environment and Engineering, Changan University, Xian
Department of Geoscience and Country’s Resource, Changan University, Xian
Institute of Hydrology and Water Resources, Tsinghua University