Abstract
Different coarse spectral resolution satellite products collected at high temporal frequencies from the AVHRR, SeaWiFS, and MODIS platforms show variable and inconsistent seasonal patterns over tropical rainforests with some sensor products showing canopy drying in the dry season and negative forest responses to drought, while other products show leaf flushing and greening in the dry season and a positive response to drought. Large inconsistencies have been reported in cross-satellite product comparisons (that include MODIS and AVHRR) for tropical evergreen broadleaf forests and inconsistencies have been reported among MODIS products and tropical field observations for LAI-related products. In this study, we investigate various remote sensing processing methods, from leaf to canopy scale, for deriving spatial and temporal patterns of photosynthetic metabolism in tropical environments, using the Brazilian Amazon and Monsoon Asia tropical forests as study areas. We also consider the role and uncertainty played by atmospheric artifacts from highly seasonal cloud cover and aerosol loads in tropical atmospheres, which render the task of decoupling the surface vegetation phenology from atmosphere influences quite challenging.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 539-541 |
| Number of pages | 3 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 38 |
| State | Published - 2010 |
| Event | ISPRS Technical Commission VIII Symposium on Networking the World with Remote Sensing - Kyoto, Japan Duration: Aug 9 2010 → Aug 12 2010 |
Keywords
- Ecology
- Land
- MODIS
- Optical
- Precipitation
- Vegetation
ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development