Data, code, and outputs for: Accurate mapping of hay, pasture, and cropland in the Northeastern U.S. by combining multi-sensor remotely sensed time series data
Rattachement africain : us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Methodology for data collection and analysis is reported in: Walter, M., Castaño-Sánchez, J. P., Ewing, P., Galford, G. L, Kinnebrew, E., Knox, C. B., McCarthy, A. C., McIntosh, M. M., Peters, C., Turner, H. C., and Hammond Wagner, C. R. (2026). Accurate mapping of hay, pasture, and cropland in the Northeastern U.S. by combining multi-sensor remotely sensed time series data. Remote Sensing Applications: Society and Environment.Data archival consists of:1) training data collected for agricultural land use in the state of Vermont for the year 20212) Google Earth Engine script for the analysis of publicly available remotely sensed data for the state of Vermont for the year 20213) Data product: map of agricultural land use classes for the state of Vermont in 20214) README file
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