| dc.contributor | Science Division | en_US |
| dc.contributor.author | Justice, C.O. | en_US |
| dc.contributor.author | Townshend, J.R.G. | en_US |
| dc.contributor.author | Holden, B.N. | en_US |
| dc.contributor.author | Tucker, C.J. | en_US |
| dc.coverage.spatial | Global | en_US |
| dc.date.accessioned | 2018-07-26T19:15:13Z | |
| dc.date.available | 2018-07-26T19:15:13Z | |
| dc.date.issued | 1985 | |
| dc.identifier.uri | https://wedocs.unep.org/20.500.11822/25877 | |
| dc.description | Coarse spatial resolution, high temporal frequency satellite data from the NOAA/AVHRR system are presented to demonstrate their utility for monitoring vegetation seasonal dynamics. The techniques for processing and analysing the data are outlined and examples are given for selected applications at a range of scales. Normalized difference vegetation index images are presented for the entire globe and for the continents of Africa, South America and south-east Asia, with descriptions of the seasonal dynamics of major vegetation formations as portrayed by the transformed AVHRR data. Monitoring of forest clearance in Brazil, the productivity of African grasslands, Indian tropical forest and Chinese agriculture are selected for discussion. The paper concludes that coarse-resolution satellite data provide a valuable tool for vegetation mapping and monitoring at regional and global scales. | en_US |
| dc.format | Text | en_US |
| dc.language | English | en_US |
| dc.publisher | United Nations Environment Programme | en_US |
| dc.relation.ispartof | Reprinted from International Journal of Remote Sensing Vol. 6 No.8 August 1985 | en_US |
| dc.rights | Public | en_US |
| dc.subject | agriculture | en_US |
| dc.subject | climate | en_US |
| dc.subject | environmental monitoring | en_US |
| dc.subject | meteorological satellite | en_US |
| dc.subject | meteorological research | en_US |
| dc.subject | remote sensing | en_US |
| dc.subject | vegetation | en_US |
| dc.title | Analysis of the Phenology of Global Vegetation using Meteorological Satelite Data | en_US |
| wd.identifier.sdgio | http://purl.unep.org/sdg/SDGIO_00000049 | |
