Research on the Estimation Method of Aboveground Vegetation Carbon Storage Based on ENVI Software Supervised Classification Function——Taking the Central Urban Area of Zhengzhou as an Example
With the continuous acceleration of urbanization and the increasingly severe problem of climate change,urban green space,as an important natural carbon sink resource,plays an increasingly important role in alleviating urban heat island effects and optimizing environmental quality.The study of carbon sequestration in urban green spaces can provide scientific and accurate data support for urban green space planning.This paper takes the area of approximately 409 km2 in the central urban area of Zhengzhou as the research object.By preprocessing the Landsat 8 remote sensing images containing the study area,extracting urban vegetation cover using the Normal-ized Vegetation Index(NDVI),and combining the supervised classification function of ENVI software to further sort and classify urban green spaces,the biomass method was used to evaluate the carbon storage of aboveground vegetation in the study area.The final result showed that the carbon storage of aboveground vegetation in the se-lected area was about 129.7 × 103 t.Compared with the traditional manual interpretation of geographic informa-tion,the method in this study is more effiicient by using remote sensing software to estimate carbon storage in ur-ban green spaces.It can rapidly acquire extensive information on urban green vegetation,offering a more effective and expedited approach for estimating carbon storage in urban green vegetation,which has significant guidance for urban ecological construction.
万方数据
