Xiao, Xiangming: University of Oklahoma (Project Lead)
Project Funding:
2009 - 2011
NRA: 2006 NASA: EOS
Funded by NASA
Abstract:
Although photosynthesis is well understood at the scales of chloroplasts, cells and individual leaves, there are still large uncertainties about photosynthesis and gross primary production (GPP) at canopy to landscape scales. Uncertainties in GPP are partly attributed to temporal and spatial variations in climate, soil, land use and land management; and partly attributed to methods of scaling plant physiological process to the canopy level. This integrated data analysis project aims to develop innovative field tools and rigorous radiative transfer models for quantifying both leaf/canopy chlorophyll content and FPARchl of forests in USA, which will provide better interpretation and understanding of the MODIS observations (both temporal and spatial variability). Leaf-level measurements of chlorophyll will be conducted over time at three eddy flux tower sites, using a combination of lab-based wet chemistry and spectral analysis as well as field-based optical methods. This project will develop inexpensive but quantifiable field tools such as digital cameras outfitted with specific filters as a means of providing extensive data of chlorophyll content at canopy level. Daily MODIS surface reflectance data over the period of 2000 - 2009 and an improved radiative transfer model (PROSAIL-2) will be used to map both leaf/canopy chlorophyll content and FPARchl at 500-m spatial resolution for forests in USA. Daily GPP for conterminous USA at 500-m spatial resolution during 2000-2009 will be generated using an innovative satellite-based Vegetation Photosynthesis Model (VPM), which is built upon the FPARchl hypothesis. The data and products will be distributed to the public through the two websites (http://remotesensing.unh.edu and http://eos-webster.sr.unh.edu).
This project addresses the key scientific questions in the Earth Science Research Strategy, the resultant geospatial datasets are likely to contribute substantially to the analysis and interpretation of the Earth Observing System (EOS) data.
2010 NASA Terrestrial Ecology Science Team Meeting Poster(s)
- Modeling gross primary production of croplands and grasslands using MODIS images, climate data and the Vegetation Photosynthesis Model (VPM)
-- (Xiangming Xiao, Joshua Kalfas, Diana Vanegas Beltran, Akira Miyata, Humin Yan)
[abstract]
More details may be found in the following project profile(s):
