You are here:
Refine Your Search
Records 1 to
7
of 7 records published between 02/19/2014 and 02/19/2019 from author John Iiames
2018
Iiames, J., E. Cooter, D. Schwede, AND J. Williams. A Comparison of Simulated and Field-Derived Leaf Area Index (LAI) and Canopy Height Values from Four Forest Complexes in the Southeastern USA. Forests. MDPI, Basel, Switzerland, 9(1):26, (2018).
Schaeffer, B., J. Iiames, J. Dwyer, E. Urquhart, W. Salls, J. Rover, AND B. Seegers. An initial validation of Landsat 5 and 7 derived surface water temperature for U.S. lakes, reservoirs, and estuaries. INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, 39(22):7789-7805, (2018). https://doi.org/10.1080/01431161.2018.1471545
Iiames, J. AND D. Pilant. Key Earth System Science Objectives Related to Land Surface Phenomena. National Academies Press, Washington, DC, 2018. https://doi.org/10.17226/24938
2017
Wu, Z., D. Tomer, Johnt Walker, X. Chen, C. Oishi, D. Schwede, AND J. Iiames. Estimation of in-canopy flux distributions of reactive nitrogen and sulfur within a mixed hardwood forest in southern Appalachia. American Geophysical Union, New Orleans, LA, December 11 - 15, 2017.
2016
Iiames, J. AND E. Cooter. EPIC-Simulated and MODIS-Derived Leaf Area Index (LAI) Comparisons Across mMltiple Spatial Scales RSAD Oral Poster based session. Imaging and Geospatial Technology Forum (IGTF 2016), Fort Worth, TX, April 11 - 15, 2016.
2015
Iiames, J., R. Congalton, T. Lewis, AND D. Pilant. Uncertainty Analysis in the Creation of a Fine-Resolution Leaf Area Index (LAI) Reference Map for Validation of Moderate Resolution LAI Products. Remote Sensing. MDPI, Basel, Switzerland, 7(0):1397-1421, (2015).
2014
Iiames, J. AND E. Cooter. LAI (in situ, simulated, Landsat-derived, and MODIS): A comparison within an Oak-Hickory Forest Complex in southwestern Virginia, USA. Presented at PECORA 19- Sustaining Land Imaging UAS to Satellites, Denver, CO, November 18, 2014.