Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.1016/j.rse.2019.111428 |
| Challenges for remote sensing of the Sustainable Development Goal SDG 15.3.1 productivity indicator | |
| Prince, Stephen D. | |
| 通讯作者 | Prince, Stephen D. |
| 来源期刊 | REMOTE SENSING OF ENVIRONMENT
 |
| ISSN | 0034-4257 |
| EISSN | 1879-0704 |
| 出版年 | 2019 |
| 卷号 | 234 |
| 英文摘要 | Progress towards combatting land degradation as intended by Sustainable Development Goal 15.3.1 will be monitored using three sub-indicators, of which productivity of vegetation is one. This indicator is to be measured using trends in a remotely-sensed vegetation index. The use of vegetation indices is well-established and remotely-sensed data are readily available. However, their uses for monitoring production that is relevant to sustainable livelihoods have received little attention. This review identifies four areas in the currently-proposed monitoring methodology that are in need of further development. The first is the derivation of primary production from vegetation indices, which requires attention to physiological processes such as light-use efficiency and plant respiration. The second concerns the subsequent steps, in which ecological processes transform the net production into production of goods and services, such as crop products. The third is the need for explicit baselines or reference conditions that specify the productivity in the absence of anthropogenic degradation. The fourth, and most difficult, is to distinguish anthropogenic causes of degradation from potentially similar effects of natural environmental processes. Some of these issues are difficult to tackle with remote sensing alone, although several improvements are available, and others are in development. However, the current use of vegetation indices alone to remotely-sense degradation of ecosystem services does not provide an adequate SDG 15.3.1 productivity indicator. |
| 英文关键词 | Sustainable development goals SDG 15.3.1 Land degradation Desertification Productivity indicator Primary production Ecosystem services Anthropogenic degradation Baseline Vegetation dynamics Threshold State and transitions Ecosystem modeling |
| 类型 | Article |
| 语种 | 英语 |
| 国家 | USA |
| 开放获取类型 | hybrid |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000500048100019 |
| WOS关键词 | INDUCED LAND DEGRADATION ; NET PRIMARY PRODUCTION ; RAIN-USE EFFICIENCY ; TREND ANALYSIS ; VEGETATION ; ECOSYSTEM ; DESERTIFICATION ; CLIMATE ; SOIL ; SAHEL |
| WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| EI主题词 | 2019-12-01 |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/311329 |
| 作者单位 | Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA |
| 推荐引用方式 GB/T 7714 | Prince, Stephen D.. Challenges for remote sensing of the Sustainable Development Goal SDG 15.3.1 productivity indicator[J],2019,234. |
| APA | Prince, Stephen D..(2019).Challenges for remote sensing of the Sustainable Development Goal SDG 15.3.1 productivity indicator.REMOTE SENSING OF ENVIRONMENT,234. |
| MLA | Prince, Stephen D.."Challenges for remote sensing of the Sustainable Development Goal SDG 15.3.1 productivity indicator".REMOTE SENSING OF ENVIRONMENT 234(2019). |
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