Classification of crop types in central California from 2005 - 2020

Description

This dataset is support materials for the publication "Crop type classification, trends, and patterns of central California agricultural fields from 2005 – 2020". This data release is comprised of two child datasets. The first dataset, 'Labeled_CropType_Points', is a shapefile that consists of randomly selected point locations in which crop types were verified using high resolution imagery for each examined year across the study period (2005 - 2020). The second dataset, 'Central_CA_Classified_Croplands', is also a shapefile, but contains polygons of 9 classified crop types derived from a random forest machine learning classifier for central California for each examined year across the study period (2005 - 2020).

Resources

Name Format Description Link
55 The metadata original format https://data.usgs.gov/datacatalog/metadata/USGS.6511ec83d34e823a0275de07.xml

Tags

  • central-valley
  • crop-type
  • naip
  • agriculture
  • biota
  • image-classification
  • landsat
  • california
  • usgs-6511ec83d34e823a0275de07
  • machine-learning

Topics

Categories