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Enhancements in MODIS Data for NACP: Smoothing and Gap-Filling Solutions

The ACESS project, titled "MODIS for NACP," focuses on improving MODIS data preprocessing to meet the specific needs of NACP modelers. This includes advanced techniques for smoothing and gap-filling in MODIS data, facilitating better model performance. The project is led by Principal Investigators Morisette and Wolfe. Key outcomes include the development of an algorithm to create temporally and spatially continuous MODIS Leaf Area Index (LAI) time series, as detailed in the publication by Gao et al. (2008) in IEEE Geoscience and Remote Sensing Letters.

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Enhancements in MODIS Data for NACP: Smoothing and Gap-Filling Solutions

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  1. ACCES project: “MODIS for NACP” Providing pre-processing of MODIS data to meet NACP modelers specific needs, including smoothing and gap-filling. (PIs: Morisette & Wolfe) Original Winter LAI Gap-filled Winter LAI Gao, F, J. Morisette, R. Wolfe, G. Ederer, J. Pedelty, E. Masuoka, R. Myneni, B. Tan, and J. Nightingale, 2008. An Algorithm to Produce Temporally and Spatially continuous MODIS-LAI Time Series, IEEE Geoscience and Remote Sensing Letters, 5(1)60-64./

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