Estimation Of Biomass Of Typical Pasture In Northern Slope Of Tianshan Mountains By Remote Sensing

The rapid development and widespread application of Remote Sensing technology provide a new scientific method for the macro dynamic monitoring of vegetation area and the growth of plant parameters.Grassland natural grassland production is an important measure of spatial dynamics of grassland.It is an important basis for the rational utilization of grassland resources and livestock balance monitoring.The timely and accurate understanding of the spatial and temporal distribution of grassland production and grasping the Inter-annual variability of grassland Dynamic law is of great significance to the sustainable use and management of grassland.The natural pasture on the northern slope of Tianshan is one of the main bases for the development of agriculture and animal husbandry in our country.It is of great significance to monitor the productivity of pasture on the sustainable development of agriculture and animal husbandry on the northern slope of Tianshan Mountains.Grassland biomass can reflect the development of pasture productivity,but also an important basis for measuring pastoral stocking.Taking the grassland biomass of the typical pasture(Ziquanquan Pasture)on the northern slope of the Tianshan Mountains as the research object,using Landsat8 OLI satellite remote sensing imagery as the data source,using Remote Sensing Technology(RS)and Geographic Information System(GIS)based on the relevant principles and methods of statistics,a grassland biomass inversion model based on different slope aspect and texture features was established,and its spatial and temporal distribution characteristics were analyzed to study grassland and grassland resource utilization,which was low hills.Grassland land mass remote sensing inversion provides new ideas.Based on the spatial characteristics and structural characteristics of remote sensing image data,ground biomass data and GPS measured data,the research uses remote sensing,geographic information system,statistics and other disciplinary theories to process and regress raster and vector geographic data Research on grassland biomass inversion application.The main studying contents and result of this article are as follows:(1)In order to select the relevant variables for the remote sensing estimation model of pasture biomass in the study area,based on the Lanndsat8 OLI image,the image feature information of grassland sampling points was extracted and studied in depth,and the band information,multiple vegetation indices and texture features in the images were selected.The correlation analysis and comparison of sampling biomass were carried out,and an optimal data variable set suitable for grassland biomass estimation modeling was selected.(2)To evaluate the growth of natural grassland and the changes of actual biomass,based on the methods of remote sensing image information extraction,GIS spatial analysis and statistical modeling analysis,according to the terrain of the research area,the measured samples are classified,and the related information is extracted from the Landsat8 OLI remote sensing image data and the DEM elevation data obtained in the study area.A linear and multivariate regression model for remote sensing estimation of grassland yield in Ziniquan pasture was established.The grassland biomass was spatially retrieved and verified.The experimental results show that the slope direction is an important factor influencing the distribution and change of grassland biomass.Using the remote sensing data,ground actual measured biomass data combined with the topographic characteristics of the yin and yang slope in the study area,the proposed biomass estimation model has higher precision,and the pasture grassland is sunny and sunny.The optimal inversion models are SAVI-based quadratic polynomial models,where R~2 is 0.712 and 0.703,respectively,and the estimation accuracy is 80%.It can reasonably estimate the growth status of grassland.(3)In order to understand the process and trend of the change of grassland distribution and spatial location in the study area,the spatial distribution of grassland biomass was studied.The space inversion using the model of grassland biomass yield optimal results,select the month and year as time changes,factor analysis of the dynamic characteristics of grassland biomass change in the study area and influence.The spatial distribution pattern and characteristics of pasture grassland were obtained.The maximum biomass was 366.11g/m~2 and the average biomass was 112.77g/m~2.The grassland biomass is mainly distributed in the range of 80~165g/m~2,and the results are visualized to provide a reference for Rangeland managers to provide decision-making basis and herdsman for rational grazing.