| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.3390/rs8030261 |
| Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map. | |
| Lesiv M; Moltchanova E; Shchepashchenko D; See L; Shvidenko A; Comber A; Fritz S | |
| 发表日期 | 2016 |
| 出处 | Remote Sensing 8 (3): e261 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | Data fusion represents a powerful way of integrating individual sources of information to produce a better output than could be achieved by any of the individual sources on their own. This paper focuses on the data fusion of different land cover products derived from remote sensing. In the past, many different methods have been applied, without regard to their relative merit. In this study, we compared some of the most commonly-used methods to develop a hybrid forest cover map by combining available land cover/forest products and crowdsourced data on forest cover obtained through the Geo-Wiki project. The methods include: nearest neighbour, naive Bayes, logistic regression and geographically-weighted logistic regression (GWR), as well as classification and regression trees (CART). We ran the comparison experiments using two data types: presence/absence of forest in a grid cell; percentage of forest cover in a grid cell. In general, there was little difference between the methods. However, GWR was found to perform better than the other tested methods in areas with high disagreement between the inputs. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | data fusion methods forest map remote sensing geographically-weighted regression |
| URL | http://pure.iiasa.ac.at/id/eprint/12313/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130666 |
| 推荐引用方式 GB/T 7714 | Lesiv M,Moltchanova E,Shchepashchenko D,et al. Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map.. 2016. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| remotesensing-08-002（2949KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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