Incorporating spectral data into logistic regression model to classify land cover: a case study in Mt. Qomolangma (Everest) National Nature Preserve
文献类型：SCI/SSCI论文
| 作者 | Gao J. G. ; Zhang Y. L. |
| 发表日期 | 2012 |
| 关键词 | logistic regression model autologistic regression model spectral variable land cover classification Mt. Qomolangma National Nature Preserve remotely-sensed data spatial autocorrelation use patterns classification scale forest distributions landscape dynamics ecology |
| 英文摘要 | Only few models for land-cover classification incorporated spectral data into ordinary logistic regression (OL model) in the Mt. Qomolangma (Everest) National Nature Preserve (QNNP) in China. In this study, spectral variables were incorporated into OL model and autologistic regression (AL) model to classify six main land covers. Twelve environmental variables and seven spectral variables of 10,000 stratified random sites in the QNNP were quantified and analyzed; OL model, AL model, OL model with spectral data (OLM model), and AL model with spectral data (ALM model) were estimated. The OLM and ALM models produced better estimates of regression coefficients and significantly improved model performance and overall accuracy for the grassland, sparsely vegetated land, and bare land compared with OL and AL models. |
| 出处 | International Journal of Geographical Information Science |
| 卷 | 26 |
| 期 | 10 |
| 页 | 1845-1862 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1365-8816 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30875]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Gao J. G.,Zhang Y. L.. Incorporating spectral data into logistic regression model to classify land cover: a case study in Mt. Qomolangma (Everest) National Nature Preserve. 2012. |
入库方式： OAI收割
来源：地理科学与资源研究所
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