| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1007/s10712-019-09528-w |
| Ground Data are Essential for Biomass Remote Sensing Missions. | |
| Chave J; Davies SJ; Phillips OL; Lewis SL; Sist P; Armston J; Baker TR | |
| 发表日期 | 2019 |
| 出处 | Surveys in Geophysics |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | Several remote sensing missions will soon produce detailed carbon maps over all terrestrial ecosystems. These missions are dependent on accurate and representative in situ datasets for the training of their algorithms and product validation. However, long-term ground-based forest-monitoring systems are limited, especially in the tropics, and to be useful for validation, such ground-based observation systems need to be regularly revisited and maintained at least over the lifetime of the planned missions. Here we propose a strategy for a coordinated and global network of in situ data that would benefit biomass remote sensing missions. We propose to build upon existing networks of long-term tropical forest monitoring. To produce accurate ground-based biomass estimates, strict data quality must be guaranteed to users. It is more rewarding to invest ground resources at sites where there currently is assurance of a long-term commitment locally and where a core set of data is already available. We call these ‘supersites’. Long-term funding for such an inter-agency endeavour remains an important challenge, and we here provide costing estimates to facilitate dialogue among stakeholders. One critical requirement is to ensure in situ data availability over the lifetime of remote sensing missions. To this end, consistent guidelines for supersite selection and management are proposed within the Forest Observation System, long-term funding should be assured, and principal investigators of the sites should be actively involved. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | Biomass Calibration Forest In situ data Validation |
| URL | http://pure.iiasa.ac.at/id/eprint/15893/ |
| 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/131730 |
| 推荐引用方式 GB/T 7714 | Chave J,Davies SJ,Phillips OL,et al. Ground Data are Essential for Biomass Remote Sensing Missions.. 2019. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
