Open AccessEstimating aboveground biomass of urban trees by high resolution remote sensing image: a case study in Hengqin, Zhuhai, China
Author(s) -
Lin Bai,
Yuxuan Shu,
Yongxuan Guo
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/569/1/012053
Subject(s) - biomass (ecology) , environmental science , remote sensing , vegetation (pathology) , urbanization , forestry , geography , physical geography , ecology , medicine , pathology , biology
Aboveground biomass of trees is the weight of organic matter per unit area of trees. The monitoring and evaluation of aboveground biomass of urban trees is helpful to the construction of garden city. With the development of urbanization and the Continuous urban ecological research, the aboveground biomass of urban trees is getting more important for the study of urban carbon cycle and the construction of ecological city. High resolution remote sensing image, which overcomes the time-consuming and labor-consuming drawbacks of traditional methods, is a data source for estimating the aboveground biomass. In this paper, taking Hengqin New Area, Zhuhai City, Guangdong Province, China as an example, we use the method of object-oriented classification of Worldwire-03 data to extract Hengqin tree area, and analyze 15 feature parameters in remote sensing images including vegetation indexes and texture features. Combined with field measurement and aboveground biomass computation, we set up Geographical Weighted Regression (GWR) model and Random Forest (RF) model for regression. Finally we estimate and discuss the aboveground biomass of trees in Hengqin.