标題: 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)

書籍團體作者: IEEE

來源出版物: IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM  叢書: IEEE International Symposium on Geoscience and Remote Sensing IGARSS  頁: 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.

會議名稱: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

會議日期: JUL 16-21, 2023

會議地點: Pasadena, CA

作者關鍵詞: 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.

通訊作者地址: Huang, W (通訊作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

電子郵件地址: wenli.huang@whu.edu.cn