|
VIP DATA EXPLORER: 30 Years of Multi-Sensor Vegetation Index and Land Surface Phenology Data
Kamel
Didan, The Uni.v of Arizona, didan@email.arizona.edu
(Presenter)
Armando
Barreto
Munoz, The University of Arizona, abarreto@email.arizona.edu
(Presenter)
Continuous acquisition of global satellite imagery over the years has contributed to the creation of long term data records from AVHRR, MODIS, TM, SPOT-VGT and other sensors. Combined these records account for more than 30 years of observation. As these archives grow they are becoming an invaluable tool for environmental, resources management, and climate studies dealing with trends and changes from local, regional to global scale.
Over the last five years the Vegetation Index and Phenology Lab. (vip.arizona.edu) embarked on an effort to process this multi-sensor global data record and generate an Earth Science Data Record of Vegetation Index and Phenology measurements. Data from AVHRR, MODIS, and SPOT-VGT covering the period 1981-present were processed into a seamless and sensor independent data record using a suite of algorithms for data filtering, across-sensor continuity, Vegetation Index (NDVI and EVI), land surface Phenology, and spatial and temporal gap filling. The enhanced and third iteration (V3.0) of these data records are now available via the highly interactive online tool, the VIP Data Explorer (vip.arizona.edu/viplab_data_explorer.php). This online system is based on the Google Earth (GE) model and provides a set of tools for the visualization, qualitative and quantitative exploration, and acquisition of these records using a rich web 2.0 interface.
Presentation Type: Poster
Session: Poster Session 1-A
(Tue 11:00 AM)
Associated Project(s):
Poster Location ID: 30
|