Infrared and Laser Engineering, Volume. 49, Issue 11, 20200292(2020)
Land cover classification using ICESat-2 data with random forest
Figures & Tables(7)
Fig. 1. Flowchart of classifying land cover using ICESat-2 data with random forest
Fig. 3. Classification results for four kinds of land cover using strong beam and weak beam altimetry data
Fig. 4. Classification confusion matrix of four kinds of land cover using strong beam and weak beam altimetry data
Fig. 5. Classification results for three kinds of land cover using strong beam and weak beam altimetry data
Table 1.
Classifier attribute
分类器属性
View tableView in ArticleTable 1.
Classifier attribute
分类器属性
Attribute Description Photon number Product label Proportion of terrain photons in vertical direction Computed Proportion of canopy photons in vertical direction Computed Proportion of top canopy photons in vertical direction Computed Proportion of terrain photons horizontal direction Computed Proportion of canopy/top canopy photons horizontal direction Computed SNR Product label Solar elevation Product label Solar azimuth Product label Cloud confidence flag Product label
Table 2.
Number of four kinds of land cover samples
四类地表样本数量
View tableView in ArticleTable 2.
Number of four kinds of land cover samples
四类地表样本数量
Class Strong beam Weak beam Water 30 794 31 205 Forest 51 385 80 315 Low vegetation 241 955 279 090 Urban/barren 18 522 19 305
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Binbin Li, Huan Xie, Xiaohua Tong, Dan Ye, Kaipeng Sun, Ming Li. Land cover classification using ICESat-2 data with random forest[J]. Infrared and Laser Engineering, 2020, 49(11): 20200292
Paper Information
Category: Issue-Space-borne laser altimetry technology
Received: Jul. 1, 2020
Accepted: --
Published Online: Jan. 4, 2021
The Author Email: Xie Huan (huanxie@tongji.edu.cn)
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