TY - JOUR
AU1 - Shuai, Yanmin
AU2 - Schaaf, Crystal B.
AU3 - Li, Xiaowen
AU4 - Gao, Feng
AU5 - Liu, Jicheng
AU6 - Wolfe, Robert E.
AU7 - Wang, Jindi
AU8 - Zhang, Xiaoyang
AU9 - Zhu, Qijiang
AB - Land surface vegetation phenology is an important process for the real-time monitoring and detecting inter-annual variability in terrestrial ecosystem carbon exchange and climate-biosphere interactions. Crop phenology is an important factor that influences crop growth and yield estimation models. Since the mid-1980s, coarse-resolution, temporally-composited satellite data have been used to study vegetation phenology. View-angle corrected nadir reflectances from the 16-day, 1km operational MODIS BRDF/Albedo product are currently used to monitor global land cover dynamics. In this paper, we developed an improved methodology for using the new 500-m MODIS BRDF/Albedo Version 005 product to monitor global vegetation phenology by utilizing time series of the Normalized Difference Vegetation Index (NDVI). The method adopts a rolling strategy for the continuous updating of the underlying anisotropy (or BRDF shape), so that the latest land surface BRDF information can be used as prior-knowledge for next retrieval. Using this approach, transition dates for vegetation phenology in time series of NDVI can be determined from MODIS data at finer temporal and spatial resolution. Preliminary results based on monitoring crops in northern China demonstrate the effectiveness of our rolling retrievals coupled with the improved spatial resolution of the new MODIS product.
TI - Monitoring vegetation phenology using improved MODIS products
JF - Proceedings of SPIE
DO - 10.1117/12.757743
DA - 2007-11-29
UR - https://www.deepdyve.com/lp/spie/monitoring-vegetation-phenology-using-improved-modis-products-MvvecwYPgT
SP - 68332X
EP - 68332X-9
VL - 6833
IS - 1
DP - DeepDyve
ER -