Application Of Automatic Multi-angle Hyperspectral And Remote Sensing Data In The Estimation Of Carbon Sources And Sinks

The carbon cycle of terrestrial ecosystem is one of the hot issues in the study of global change,because of the space remote sensing technology covers a wide range and fast,non-destructive detection of surface vegetation in nature,people explore has very good application in the process of carbon cycling.In view of this,this study firstly improved remote sensing image fusion method,to provide high temporal resolution surface reflectance data set of the carbon budget estimation model based on remote sensing;secondly,on site observation level(site scale),using multi angle observation data,calculation of canopy scale photochemical reflectance index arithmetic average,photochemical reflectance assessment the vegetation index monitoring light use capability of rate changes,and to analyze the impact of external utilization related photochemical reflectance index and light(non physical)factors;and then use the flux tower observational data obtained in the research area of different land cover types of the maximum light use efficiency,and then uses the NCEP meteorological reanalysis data and MODIS of photosynthetically active radiation data,GPP extended to landscape scale;finally,using machine learning methods(regression tree),SAFE-f(Simple Analytical Footprint model on Eulerian coordinates)model and image fusion method,combined with the flux tower observation data and remote sensing data,is established based on remote sensing data NEE(net ecosystem exchange of CO2)estimation model.The main conclusions are as follows:(1)The optimization of image fusion algorithmEnhanced Spatial and Temporal Adaptive Reflectance Fusion Model,the improved image fusion algorithm to predict the class of Landsat(Landsat-like)surface reflectance has higher precision,high spacetime synthesis,prediction of reflectivity data rate can be used for carbon flux estimation model based on remote sensing data.(2)By using high frequency data automatic multi angle multi angle reflectance spectrometer,flux tower observation data show that: the saturated water pressure,shallow soil temperature,the total primary productivity,photosynthetic active radiation had certain effects on the photochemical reflectance index and light use efficiency change.The influence of both photosynthetically active radiation,respectively 64% and 22%;photochemical reflectance index and light utilization rate has a relatively good correlation in different time scales,half hour average coefficient of determination is 0.4084,the daily average determination coefficient was 0.7349;in under the specific conditions of environmental factors photochemical reflectance index and light use rate of the relationship between the performance will be better,the photochemical reflectance index under the condition of stress detection light utilization rate of change has better sensitivity,emotional Qie Min with the improvement of the environment,such as saturated water vapor pressure VPD 20-25 hPa,shallow soil temperature of 20-25,photosynthetic active radiation is 300-600 umol.m-2.s-1,the total primary productivity>40umol CO2.m-2.s-1 under the conditions of the two best sensitivity pressure.(3)Using the energy efficiency model based on flux tower observation data to push the GPP on the site scale to the landscape scale.Among them,the utilization rate of the maximum light model inversion and broadleaf forest of coniferous light were 0.8421 gCMJ-1,1.8082 gCMJ-1,the coefficient of determination were 0.7000 and 0.8345.(4)According to the eddy covariance flux tower by observation data,remote sensing temporal spatial fusion high spatial resolution and high time resolution data,classification and regression tree model,the machine was constructed with high spatial and temporal resolution estimation model to estimate net ecosystem exchange learning technology,NEE estimation result is reasonable.Overall,the use of remote sensing data on the carbon balance of terrestrial surface related to the light utilization rate,GPP and NEE were studied in this paper,through the study of ecosystem carbon flux and high spectrum continuous synchronous observation,evaluate the capability of monitoring changes in photochemical reflectance index light utilization rate,and analyzes the influence of external utilization related photochemical reflectance index and light(non physical)factors,using image fusion method provides surface reflectance data with high temporal resolution,provide input data for the estimation of carbon budget,for the establishment of high resolution estimation of carbon budget reference.