Integrating volunteered smartphone data with multispectral remote sensing to estimate forest fuels

摘要: Volunteered data sources are readily available due to advances in electronic communications technology. For example, smartphones provide tools collect ground-based observations over broad areas from a diverse set of collectors, including people with, and without, extensive training. In this study, volunteers used smartphone application observations. Forest structural components were then estimated broader area using high spatial resolution RapidEye remote sensing imagery (5 spectral bands 440–850 nm, 5 m resolution) digital elevation model following three nearest neighbor approach (K-NN). Participants with professional forestry experience on average chose high-priority fuel load locations near buildings, while nonprofessional participants range conditions larger extent. When together, the provided more complete assessment forest conditions. A generalized framework is p...