uncertainty analysis in the creation of a fine-resolution leaf area index (lai) reference map for validation of moderate resolution lai products

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ID: 138495
2015
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Abstract
The validation process for a moderate resolution leaf area index (LAI) product (i.e., MODIS) involves the creation of a high spatial resolution LAI reference map (Lai-RM), which when scaled to the moderate LAI resolution (i.e., > 1 km) allows for comparison and analysis with this LAI product. This research addresses two major sources of uncertainty in the creation of the LAI-RM: (1) the uncertainty associated with the indirect in situ optical measurements of southeastern United States needle-leaf LAI and (2) the uncertainty in the process of classifying land cover (LC). Uncertainty within the loblolly pine (Pinus taeda) in situ data collection was highest for the assessment of the plant area index (PAI), Le (27.2%), and the woody-to-total ratio, α, (30.6%). The needle-to-shoot ratio, λE, and the element clumping index, ΩE, contributed 14.9% and 9.3%, respectively, to the uncertainty in the calculation of LAI. Combining LC differences (3.4%) with the uncertainty within the loblolly pine component resulted in doubling the LAI-RM variability (σ = 0.50 to σ = 0.97) at the 1 km2 validation site located in Appomattox, Virginia, USA.
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iiames2015remoteuncertainty Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;John S. Iiames;Russell G. Congalton;Timothy E. Lewis;Andrew N. Pilant
Journal Journal of pharmacological sciences
Year 2015
DOI
10.3390/rs70201397
URL
http://www.mdpi.com/2072-4292/7/2/1397
Keywords
validation Landsat uncertainty land cover lai digital hemispherical photography

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