All Stories

  1. The Development and Evaluation of a High-Resolution Above Ground Biomass Product for the Commonwealth of Puerto Rico (2000)

    Article • Photogrammetric Engineering & Remote Sensing, April 2017, American Society for Photogrammetry and Remote Sensing

    Dr John S. Iiames

  2. An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data

    Article • Remote Sensing of Environment, March 2016, Elsevier

    Dr John S. Iiames

  3. Uncertainty analysis of MODIS LAI reference data

    Article • Remote Sensing, January 2015, MDPI AG

    Dr John S. Iiames

  4. Basal Area and Biomass Estimates of Loblolly Pine Stands Using L-band UAVSAR

    Article • Photogrammetric Engineering & Remote Sensing, January 2014, American Society for Photogrammetry and Remote Sensing

    Dr John S. Iiames

  5. Classification accuracy assessment for coarse resolution mapping (MODIS): Maplets

    Article • Photogrammetric Engineering & Remote Sensing, November 2013, American Society for Photogrammetry and Remote Sensing

    Dr John S. Iiames

  6. Mapping cropland and types using MODIS NDVI

    Article • Photogrammetric Engineering & Remote Sensing, January 2010, American Society for Photogrammetry and Remote Sensing

    Dr John S. Iiames

  7. Leaf Area Index (LAI) Change Detection Analysis on Loblolly Pine (Pinus taeda) Following Complete Understory Removal

    Article • Photogrammetric Engineering & Remote Sensing, November 2008, American Society for Photogrammetry and Remote Sensing

    Dr John S. Iiames

  8. Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup

    Article • IEEE Transactions on Geoscience and Remote Sensing, July 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Dr John S. Iiames

  9. In Situ Estimates of Forest LAI for MODIS Data Validation

    Article • July 2004, Taylor & Francis

    Dr John S. Iiames

  10. A Quantitative Assessment of a Combined Spectral and GIS Rule-Based Land-Cover Classification in the Neuse River Basin of North Carolina

    Article • Photogrammetric Engineering & Remote Sensing, March 2003, American Society for Photogrammetry and Remote Sensing

    Dr John S. Iiames