标题: FOREST ABOVEGROUND BIOMASS ESTIMATION FROM HIGH-RESOLUTION IMAGERY IN WUHAN CITY, CHINA
作者: Mamat, A (Mamat, Ayzohra); Liu, XY (Liu, Xueyi); Huang, WL (Huang, Wenli); Feng, TQ (Feng, Tianqi); Yang, XY (Yang, Xinyi); Song, DX (Song, Danxia)
书籍团体作者: IEEE
来源出版物: IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM 丛书: IEEE International Symposium on Geoscience and Remote Sensing IGARSS 页: 3364-3367 DOI: 10.1109/IGARSS52108.2023.10283251 出版年: 2023
摘要: Current assessments of urban forest carbon storage were missing or largely underestimating their values due to limited spatial resolution. In this study, combining field plot measurements and satellite imagery, a wall-to-wall forest biomass map were generated at a very high spatial resolution (5 m) over urban areas in Wuhan City, China. Specifically, a series of characteristic metrics were extracted from Jilin-1 satellite images, including multispectral reflectances, vegetation indices, and texture features. The estimations of forest aboveground biomass from three machine learning models were evaluated at sampled field plot level. Results demonstrated that the random forest model achieved the highest accuracy using the leave-one-out cross-validation method, with a test set RMSE of 31.84 Mg/ha. However, discrepancies were observed in low biomass areas due to variations in vegetation species, leading to overestimation of lower values.
会议名称: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期: JUL 16-21, 2023
会议地点: Pasadena, CA
作者关键词: forest aboveground biomass; texture features; random forest; Jilin-1; high-resolution images
地址: [Mamat, Ayzohra; Huang, Wenli; Feng, Tianqi; Yang, Xinyi] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.
[Mamat, Ayzohra; Liu, Xueyi] China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China.
[Song, Danxia] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
通讯作者地址: Huang, W (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.
电子邮件地址: wenli.huang@whu.edu.cn
