Remote Sensing Estimation of Vegetation Above-Ground Biomass in Nachang Based on GF-6 Image
This paper firstly extracts spectral characteristics and texture characteristics of vegetation with GF-6 remote sensing data,then convert the tree height and DBH measured in the field into the observed values of aboveground biomass through the allometric growth equation. Secondly,the re-mote sensing inversion model of vegetation aboveground bio-mass is constructed through random forest,support vector ma-chine and K-nearest neighbor algorithm and incorporation of sampling data,. Thirdly,the fitting effect and accuracy of the model are tested. The results show that among the three ma-chine models,the random forest model has the best data re-sult,with its determination coefficient 66.38 and the root mean square error 28.13. Finally,the random forest model is selected to estimate the aboveground biomass of vegetation in Nanchang city,and the vegetation biomass distribution map of Nanchang city is obtained,which provides scientific basis for the follow-up research of urban biomass remote sensing es-timation and urban ecological research.
万方数据
维普
