Skip to Main Content
Evaluation of MODIS NPP and GPP products across multiple biomes.Author(s): David P. Turner; William D. Ritts; Warren B. Cohen; Stith T. Gower; Steve W. Running; Maosheng Zhao; Marcos H. Costa; Al A. Kirschbaum; Jay M. Ham; Scott R. Saleska; Douglas E. Ahl
Source: Remote Sensing of Environment. 102: 282-292
Publication Series: Scientific Journal (JRNL)
PDF: Download Publication (614 KB)
DescriptionEstimates of daily gross primary production (GPP) and annual net primary production (NPP) at the 1 km spatial resolution are now produced operationally for the global terrestrial surface using imagery from the MODIS (Moderate Resolution Imaging Spectroradiometer) sensor. Ecosystem-level measurements of GPP at eddy covariance flux towers and plot-level measurements of NPP over the surrounding landscape offer opportunities for validating the MODIS NPP and GPP products, but these flux measurements must be scaled over areas on the order of 25 km2 to make effective comparisons to the MODIS products. Here, we report results for such comparisons at 9 sites varying widely in biome type and land use. The sites included arctic tundra, boreal forest, temperate hardwood forest, temperate conifer forest, tropical rain forest, tallgrass prairie, desert grassland, and cropland. The ground-based NPP and GPP surfaces were generated by application of the Biome-BGC carbon cycle process model in a spatially-distributed mode. Model inputs of land cover and leaf area index were derived from Landsat data. The MODIS NPP and GPP products showed no overall bias. They tended to be overestimates at low productivity sites -- often because of artificially high values of MODIS FPAR (fraction of photosynthetically active radiation absorbed by the canopy), a critical input to the MODIS GPP algorithm. In contrast, the MODIS products tended to be underestimates in high productivity sites -- often a function of relatively low values for vegetation light use efficiency in the MODIS GPP algorithm, A global network of sites where both NPP and GPP are measured and scaled over the local landscape is needed to more comprehensively validate the MODIS NPP and GPP products and to potentially calibrate the MODIS NPP/GPP algorithm parameters.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationTurner, David P.; Ritts, William D.; Cohen, Warren B.; Gower, Stith T.; Running, Steve W.; Zhao, Maosheng; Costa, Marcos H.; Kirschbaum, Al A.; Ham, Jay M.; Saleska, Scott R.; Ahl, Douglas E. 2006. Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sensing of Environment. 102: 282-292
KeywordsMODIS, Landsat, net primary production, gross primary production, biomes, validation, global, monitoring
- Site-level evaluation of satellite-based global terrestrial gross primary production and net primary production monitoring.
- Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation.
- A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data
XML: View XML