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Comparing land surface phenology derived from satellite and GPS network microwave remote sensing |
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| Authors: | Matthew O. Jones John S. Kimball Eric E. Small Kristine M. Larson |
| Affiliation: | 1. Flathead Lake Biological Station (FLBS), Numerical Terradynamic Simulation Group (NTSG), University of Montana, Davidson Honors College Room 021, NTSG Annex, 32 Campus Dr., Missoula, MT, 59812, USA 2. Numerical Terradynamic Simulation Group, The University of Montana, Missoula, MT, 59812, USA 3. Department of Geological Sciences, The University of Colorado, Boulder, CO, 80309, USA 4. Department of Aerospace Engineering Sciences, The University of Colorado, Boulder, CO, 80309, USA |
| Abstract: | The land surface phenology (LSP) start of season (SOS) metric signals the seasonal onset of vegetation activity, including canopy growth and associated increases in land-atmosphere water, energy and carbon (CO2) exchanges influencing weather and climate variability. The vegetation optical depth (VOD) parameter determined from satellite passive microwave remote sensing provides for global LSP monitoring that is sensitive to changes in vegetation canopy water content and biomass, and insensitive to atmosphere and solar illumination constraints. Direct field measures of canopy water content and biomass changes desired for LSP validation are generally lacking due to the prohibitive costs of maintaining regional monitoring networks. Alternatively, a normalized microwave reflectance index (NMRI) derived from GPS base station measurements is sensitive to daily vegetation water content changes and may provide for effective microwave LSP validation. We compared multiyear (2007–2011) NMRI and satellite VOD records at over 300 GPS sites in North America, and their derived SOS metrics for a subset of 24 homogenous land cover sites to investigate VOD and NMRI correspondence, and potential NMRI utility for LSP validation. Significant correlations (P?r 2?=?0.73, P? |
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