Databases for Regional Biogeochemical Modeling I : Intercomparison of Land Use / Cover Datasets

In Mississippi, data sources tended to conform in different areas for the two main classes. In the delta region, estimates for agricultural land from any one source were, on average, within 10% other sources, but estimates for forested land not within 60% of one another. The pattern was inverted in the rest of the state, where one estimate for agricultural land was within 10% of another for only 38% of the counties and nearly 80% of estimates for forested land were within 15% of another estimate. Agricultural and forested land estimates agreed most often for the 1992 NRI and MRLC datasets, with 27 and 49 counties (33 and 60%) within 15% and 30% of one another for agricultural land, respectively, and 66 and 87 (54 and 71%) for forest estimates. The MRLC and AVHRR agreed least often with only 20 counties within 15% of one another for agricultural land and one county with an MRLC estimate of forested land within 15% of the AVHRR estimate. Only 24% of counties had one data source within 15% of another for agricultural land in Nebraska, and nearly two-thirds of that agreement was between the 1992 NRI and AVHRR. Rangeland area estimates from one source were within 15% of those from another source for only eight counties. Estimates of forested land in Virginia were similar for different data sources, with 23% of estimates within 15% of another estimate and 76% within 30%. Most (95%) estimates from the 1992 NRI and the MRLC datasets were within 30% of one another. Coincidence between data sets was most common in the more mountainous MLRAs where, according to the 1992 NRI, forested land covered an average of 60% of the area.

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