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Linking in Situ Time Series Forest Canopy Lai and Phenology Metrics With Modis and Landsat Ndvi and Lai Products

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Abstract:The subject of this presentation is forest vegetation dynamics as observed by the TERRA spacecraft's Moderate-Resolution Imaging Spectroradiometer (MODIS) and Landsat Thematic Mapper, and complimentary in situ time series measurements of forest canopy metrics related to Leaf Area Index (LAI) and Normalized Difference Vegetation Index (NDVI). NDVI is related to ecosystem state, and LAI is an important input to ecosystem and landscape process models. Current research efforts involve development of remote sensing methodology for detecting landscape change and estimating LAI from satellite, particularly using time series analyses of MODIS data. The U.S. Environmental Protection Agency (EPA) has established a number of long-term forest research sites in the Piedmont and Coastal Plain of the Albemarle-Pamlico Basin of North Carolina and Virginia (USA). At each site, we conduct biophysical surveys of site composition and landscape character, as well as time series optical surveys of LAI at various phenological stages. LAI is estimated indirectly using combined hemispherical photography and
TRAC (Tracing Architecture and Radiation of Canopies) optical surveys arranged in permanent grids and transacts. This research focuses on two fundamental questions: (i) how can LAI be measured accurately and effectively in situ, and (ii ) how can meter-scale field measurements be correlated with kilometer-scale MODIS geophysical products? We present initial results exploring relationships between the in situ LAI time series measurements and MODIS LAI and NDVI image products.
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Citation:Pilant, A., J. Iiames, R. S. Lunetta, T. E. Lewis, and J. Ediriwickrema. Linking in Situ Time Series Forest Canopy Lai and Phenology Metrics With Modis and Landsat Ndvi and Lai Products. Presented at American Society for Photogrammetry and Remote Sensing Annual Conference and Exhibition, Anchorage, AK, May 5-9, 2003.
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Contact: Chris Siebert - (702) 798-2234 or siebert.christopher@epa.gov
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Division: Environmental Sciences Division
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Branch: Landscape Characterization Branch (RTP)
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Product Type: Abstrct/Oral
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Presented: 05/05/2003
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Related Entries:
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Bullet Item Landscape Characterization and Change Detection Methods Development Research (2005-2007)
spacer Relationship Reason:   A Project of the Product
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Last Updated on Monday, October 22, 2007
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