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Abstract
Carbon-cycle models have uncertainties associated with data inputs, parameters, and model algorithms. The prerequisite for an applicable model is that it should perform at an acceptable level of accuracy and uncertainties should be documented. In this study, we validated the gross primary productivity (GPP) data from a piecewise regression (PWR) model and the MODIS GPP model at five grassland flux towers in the Northern Great Plains. The results showed a good agreement of GPP values (agreement coefficient d = 0.88–0.98) among PWR, MODIS, and tower measurements at Fort Peck, Mandan, and Cheyenne sites; but MODIS GPP did not agree well (d = 0.62–0.79) with tower measurements at Miles City and Lethbridge sites. Additionally, we compared PWR GPP and MODIS GPP for grasslands in the entire study area. We found that the PWR GPP was lower than or similar to the MODIS GPP in the east and higher in the west and south. We explored possible factors that may cause the GPP difference in spatial distribution between the two models.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Comparative analysis of GPP products estimated from an empirical model and MODIS |
| Language | English |
| Publisher | ASPRS |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 12 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Conference publication |
| Larger Work Title | Global priorities in land remote sensing |
| Conference Title | William T. Pecora Memorial Symposium on Remote Sensing, 16th |
| Conference Location | Sioux Falls, SD |
| Conference Date | October 23-27, 2005 |
| Google Analytic Metrics | Metrics page |