Vegetation Phenology and Enhanced Vegetation Index Products from Multiple Long Term Satellite Data Records
Kamel
Didan, Univ. of Arizona, kamel@ag.arizona.edu
(Presenting)
Alfredo
Huete, Univ. of Arizona, ahuete@ag.arizona.edu
van Leeuwen
Willem, Univ. of Arizona, leeuw@ag.arizona.edu
Kurt
Thome, Univ. of Arizona, kurt.thome@opt-sci.arizona.edu
Miura
Tomoaki, Univ. of Hawaii, tomoakim@hawaii.edu
Mark
Friedl, Boston Univ., friedl@bu.edu
Xiaoyang
Zhang, Earth Resources Technology/NOAA, xiaoyang.zhang@noaa.gov
Calli
Jenkerseon, USGS Center for EROS, jenkerson@usgs.gov
Tom
Maiersperger, USGS Center for EROS, tmaiersperger@usgs.gov
Phenology represents the seasonal cycle of the land surface and is an essential and critical component of environmental science influencing biodiversity, species interactions, their ecological function, and their effects on fluxes in water, energy, and biogeochemical elements at various scales. Changes in phenology depict a canopy's integrated response to environmental change and provide valuable information for land degradation studies, integrated pest and invasive species management, drought monitoring, wildfire risk assessment, and agricultural production.
In this MEASURES' project, we plan to generate a seamless and consistent sensors independent long term data record of landscape phenology metrics and vegetation index, by fusing measurements from different satellite missions and sensors. We plan to use the AVHRR and MODIS daily surface reflectance and design sensor independent algorithms to be applied to these data sets. We plan to generate a 30+ years of consistent climate modeling grid (CMG, 0.05 deg) resolution measures of Vegetation Index and Land surface Phenology. In collaboration with, the newly established, national phenology network (NPN) we will, for the first time, correlate remote sensing based estimate of phenology with ground observations. We aim at evaluating the consistency and accuracy of these products by comparing them with global in situ growing season measurement over different biomes. We plan to distribute these products through the USGS center for EROS and separately via a PI prototype interactive visualization system, where change ‘hot spots’ could be identified. We will enlist the NPN as well as key science and modeling community members in the process of evaluating the ESDR/CDR merits of these products. We also plan to support and disseminate these products through workshop-style meetings. A user working group (UWG) will advise this effort and connect it with the wider community.
NASA Carbon Cycle & Ecosystems Active Awards Represented by this Poster: