MULTI-SATELLITE EARTH SCIENCE DATA RECORD FOR STUDYING GLOBAL VEGETATION TRENDS AND CHANGES

One of the stated goals of NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) program is the support of the Earth Science research community by providing reliable Earth Science Data Records (ESDR). These products are expected not only to be of high quality but should also combine data from multiple sources to form the long and coherent measurements required for studying climate change impact on the Earth system. To that end, this MEASUREs’ project aims at generating a seamless and consistent sensor independent ESDR quality record of land surface vegetation index and phenology by fusing measurements from different satellite missions and sensors. We’re using the AVHRR, MODIS, and VIIRS daily surface reflectance measurements, and the concept of homogeneous vegetation cluster model to design continuity algorithms that will be applied to these multi-sensor data sets. This effort will generate, characterize, and deliver 30+ years of consistent daily measurements of land surface vegetation index and annual phenology parameters at a climate modeling grid resolution (0.05, 5.6km). The consistency and accuracy of these products will be evaluated by comparison with in situ vegetation growing season observations over different biomes, latitudinal and elevational gradients. These ESDR products will be distributed through the USGS LP-DAAC. Key science and modeling community users, as well as the US National Phenology Network (US-NPN) will help with evaluating these ESDR products. Information about the project and the ESDR products status are available at http://measures.arizona.edu.

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