Centroid point locations of crop types in central California from 2005 - 2020
Dates
Publication Date
2024-06-06
Time Period
2005
Time Period
2006
Time Period
2009
Time Period
2010
Time Period
2012
Time Period
2014
Time Period
2016
Time Period
2018
Time Period
2020
Citation
Smith, B.W., Soulard, C.E., and Walker, J.J., 2024, Classification of crop types in central California from 2005 - 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9B6JX0V.
Summary
This dataset is a collection of 1,253 sample points and associated crop types of fields for each examined year across the study period (2005 - 2020) in central California. These data represent labeled data that were used to train and test random forest classification models. Each sample point is the centroid of a field obtained from the California Department of Water Resources' 2018 crop type map. Crop types identified at each sample point was identified using high-resolution imagery and Landsat derived normalized difference vegetation index. Nine crop types were identified: rice, pasture, grain, field, citrus and mediterranean, deciduous fruit and nut, vineyard, fallow and young perennial, and truck, nursery, and berry. If a sample [...]
Summary
This dataset is a collection of 1,253 sample points and associated crop types of fields for each examined year across the study period (2005 - 2020) in central California. These data represent labeled data that were used to train and test random forest classification models. Each sample point is the centroid of a field obtained from the California Department of Water Resources' 2018 crop type map. Crop types identified at each sample point was identified using high-resolution imagery and Landsat derived normalized difference vegetation index. Nine crop types were identified: rice, pasture, grain, field, citrus and mediterranean, deciduous fruit and nut, vineyard, fallow and young perennial, and truck, nursery, and berry. If a sample point location's crop type could not be identified then it was left blank.
