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《Remote Sensing Technology and Application》 2017-06
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Estimation of Grassland Aboveground Biomass Using Landsat 8 OLI Satellite Image in the Northern Hillside of Tianshan Mountain

Zhang Ya;Yin Xiaojun;Wang Weiqiang;Wang Chuanjian;Lu Weihua;Sun Shize;Gao Jun;College of Information Science and Technology,Shihezi University;Geospatial Information Engineering Research Center,Xinjiang Production and Construction Corps;Geospatial Information Engineering Laboratory,Xinjiang Production and Construction Corps;College of Animal Science and Technology,Shihezi University;  
The Landsat 8 OLI remote sensing data was used to obtain six kinds of commonly vegetation indices including NDVI,RVI,DVI,EVI,GNDVI and SAVI.Meanwhile,combining with the measured data of grassland in the research area,the research area was divided into two kinds of shady and sunny slope according to the slope.Then the biomass remote sensing estimation models of shady and sunny slope in Ziniquan Ranch were created by Statistical analysis method and biomass space inversion and verification was implemented.The results of correlation analysis showed that the selected vegetation indices were significantly correlated with pasture biomass and there was a significant difference between the correlation of the classified data and the non classified data by slope,in which NDVI was the highest and EVI was the lowest.The optimal inversion model of Ziniquan Ranch biomass was based on the two order polynomial model of SAVI with the accuracy 80%.By using this model reversion,the grassland average yield of Ziniquan Ranch in 2015 was 113 g/m2,which equaled to dry grass yield 41.85 g/m2.The research shows that the slope direction is an important factor affecting the distribution of biomass.Using remote sensing data and ground measured biomass data and combining with the characteristics of the topography of shady and sunny slope of the research area,the biomass estimation model has higher accuracy,which could provide scientific basis for the reasonable estimation of grassland biomass and management of grassland grazing in the pastoral area.
【Fund】: 国家自然科学基金项目“基于北斗终端时空轨迹和遥感的天然草地利用评估方法研究”(41461088);国家自然科学基金项目“基于绵羊放牧轨迹的绢蒿荒漠草地植物种子消化道传播研究”(31560659);; 石河子大学自然科学基金项目“加工番茄主要病害高光谱遥感生化反演研究”(RCZX201226);石河子大学自然科学基金项目“时空融合的荒漠土壤盐渍化动态监测”(2013ZRKXYQ18)资助
【CateGory Index】: Q948;TP751
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