Name
Abstract | ||
|---|---|---|
Satellite-derived phenology allows monitoring of terrestrial vegetation on a global scale and provides an integrative view at the landscape level . Understanding these seasonal phenological patterns is essential to (i) the characterisation and classification of vegetation, (ii) studying the impact of climate change , and influence of rainfall variability (iii) monitoring desertification and (iv) detecting changes in land use/land cover. This study analyzed vegetation phenology across Southern Africa in order to investigate which phenometrics (and their inter-annual variability) distinguish biomes based on functional patterns. A second objective was to quantify the inter-annual variability of phenometrics during a 15-year period (1985 to 2000). |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IGARSS.2008.4779474 | Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International |
Keywords | Field | DocType |
climatology,geomorphology,geophysics computing,image classification,phenology,rain,vegetation,AD 1985 to 2000,Southern Africa,biomes,climate change,desertification monitoring,functional patterns,interannual variability,land cover,land use,phenometrics,rainfall variability,seasonal phenological patterns,terrestrial vegetation monitoring,vegetation classification,Time-series,inter-annual variability,phenology | Vegetation,Climate change,Desertification,Computer science,Biome,Climatology,Land cover,Phenology,Precipitation,Land use | Conference |
Volume | ISBN | Citations |
3 | 978-1-4244-2808-3 | 2 |
PageRank | References | Authors |
0.48 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karen Steenkamp | 1 | 18 | 2.80 |
| Konrad J. Wessels | 2 | 98 | 20.52 |
| Sally Archibald | 3 | 14 | 2.68 |
| Graham Von Maltitz | 4 | 2 | 0.81 |