Details

Autor(en) / Beteiligte

• Lunetta, Ross S.
• Liames, John
• Knight, Joseph
• Congalton, Russell G.
• Mace, Thomas H.
• Lyon, Lynn
• Lyon, John G

Titel

Virtual Field Reference Database for Assessment of Land Cover Data and Variability

Ist Teil von

• Geospatial Information Handbook for Water Resources and Watershed Management, 2023, Vol.2, p.19-40

Auflage

1

Ort / Verlag

United Kingdom: CRC Press

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• A "Virtual Field Reference Database (VFRDB)" was developed using field measurement and digital imagery (camera) data collected at 999 sites in the Neuse River Basin, NC. The VFmB was designed to support detailed assessments of remote-sensor-derived land cover/land use (LCLU) products by providing a robust database characterizing representative cover types throughout the study area. The sampling frame incorporated both systematic unaligned and stratified random design elements, to provide both an even distribution of points and sufficient intensification to account for rare classes. Numerous quality assurance procedures were developed and incorporated to ensure both data consistency and repeatability. Two independent interpreters assigned class labels corresponding to a hierarchical classification system based on field measurement and imagery data interpretation. Correspondence between interpreters was analyzed at multiple classification levels. The relatively high 91% overall correspondence of interpretations was attributable to the application of the VFRDB, providing a high-quality source of measurement and imagery data to guide class assignments. Confusion documented for rangeland and forest classes was consistent with reported results for studies conducted in diverse biological locations. Results demonstrate the requirement for reference data with known variability, to support the quantitative assessments of remote-sensor-derived LCLU products.