USDA, National Agricultural Statistics Service, 2019 Crop Frequency Layers for CORN, COTTON, SOYBEANS AND WHEAT
BASED ON THE 2008-2019 CROPLAND DATA LAYERS (12 YEARS OF DATA)
NATIONAL ACCURACY REPORTS
CORN
Cover Attribute *Correct Producer's Omission User's Commission Cond'l
Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa
---- ---- -------- --------- ----- ----- -------- ------- -----
Planted 1 time in 12 years 1 2,273,840 82.0% 18.0% 0.813 77.3% 22.7% 0.764
Planted 2 times in 12 years 2 1,840,230 76.9% 23.1% 0.761 76.7% 23.3% 0.758
Planted 3 times in 12 years 3 2,014,270 72.8% 27.2% 0.718 75.5% 24.5% 0.745
Planted 4 times in 12 years 4 2,598,730 76.3% 23.7% 0.750 74.2% 25.8% 0.728
Planted 5 times in 12 years 5 4,140,600 71.6% 28.4% 0.692 77.5% 22.5% 0.755
Planted 6 times in 12 years 6 18,265,500 92.4% 7.6% 0.894 91.5% 8.5% 0.882
Planted 7 times in 12 years 7 4,365,920 86.8% 13.2% 0.857 81.4% 18.6% 0.800
Planted 8 times in 12 years 8 2,967,880 89.6% 10.4% 0.891 87.2% 12.8% 0.866
Planted 9 times in 12 years 9 1,916,580 89.9% 10.1% 0.896 88.7% 11.3% 0.884
Planted 10 times in 12 years 10 1,305,140 90.2% 9.8% 0.900 89.2% 10.8% 0.890
Planted 11 times in 12 years 11 910,437 90.6% 9.4% 0.905 89.2% 10.8% 0.890
Planted 12 times in 12 years 12 1,093,620 92.8% 7.2% 0.926 97.1% 2.9% 0.971
COTTON
Cover Attribute *Correct Producer's Omission User's Commission Cond'l
Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa
---- ---- -------- --------- ----- ----- -------- ------- -----
Planted 1 time in 12 years 1 397,142 83.1% 16.9% 0.830 72.3% 27.7% 0.721
Planted 2 times in 12 years 2 249,359 81.7% 18.3% 0.816 78.0% 22.0% 0.779
Planted 3 times in 12 years 3 180,543 80.9% 19.1% 0.808 77.8% 22.2% 0.777
Planted 4 times in 12 years 4 132,636 73.6% 26.4% 0.735 77.2% 22.8% 0.772
Planted 5 times in 12 years 5 111,845 74.4% 25.6% 0.744 75.4% 24.6% 0.753
Planted 6 times in 12 years 6 91,803 75.1% 24.9% 0.751 79.4% 20.6% 0.793
Planted 7 times in 12 years 7 65,144 75.1% 24.9% 0.751 74.9% 25.1% 0.749
Planted 8 times in 12 years 8 48,248 72.2% 27.8% 0.721 73.5% 26.5% 0.735
Planted 9 times in 12 years 9 41,141 72.0% 28.0% 0.720 74.5% 25.5% 0.745
Planted 10 times in 12 years 10 37,756 73.8% 26.2% 0.738 74.3% 25.7% 0.743
Planted 11 times in 12 years 11 40,430 83.1% 16.9% 0.831 78.3% 21.7% 0.783
Planted 12 times in 12 years 12 53,131 87.4% 12.6% 0.874 95.7% 4.3% 0.957
SOYBEANS
Cover Attribute *Correct Producer's Omission User's Commission Cond'l
Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa
---- ---- -------- --------- ----- ----- -------- ------- -----
Planted 1 time in 12 years 1 1,922,210 82.0% 18.0% 0.813 79.3% 20.7% 0.786
Planted 2 times in 12 years 2 2,072,110 81.6% 18.4% 0.809 82.2% 17.8% 0.815
Planted 3 times in 12 years 3 2,702,530 82.2% 17.8% 0.813 82.6% 17.4% 0.818
Planted 4 times in 12 years 4 3,887,830 82.9% 17.1% 0.817 83.4% 16.6% 0.822
Planted 5 times in 12 years 5 5,916,350 77.1% 22.9% 0.745 81.4% 18.6% 0.791
Planted 6 times in 12 years 6 19,160,800 92.0% 8.0% 0.886 91.4% 8.6% 0.878
Planted 7 times in 12 years 7 2,846,910 78.8% 21.2% 0.776 74.1% 25.9% 0.727
Planted 8 times in 12 years 8 1,306,180 78.1% 21.9% 0.776 73.7% 26.3% 0.731
Planted 9 times in 12 years 9 588,641 72.3% 27.7% 0.720 68.8% 31.2% 0.685
Planted 10 times in 12 years 10 342,619 68.8% 31.2% 0.685 65.8% 34.2% 0.655
Planted 11 times in 12 years 11 265,705 75.5% 24.5% 0.754 66.4% 33.6% 0.663
Planted 12 times in 12 years 12 267,713 84.3% 15.7% 0.842 78.8% 21.2% 0.787
WHEAT
Cover Attribute *Correct Producer's Omission User's Commission Cond'l
Type Code Pixels Accuracy Error Kappa Accuracy Error Kappa
---- ---- -------- --------- ----- ----- -------- ------- -----
Planted 1 time in 12 years 1 3,495,760 85.9% 14.1% 0.850 83.8% 16.2% 0.828
Planted 2 times in 12 years 2 2,132,920 75.2% 24.8% 0.742 79.9% 20.1% 0.790
Planted 3 times in 12 years 3 1,850,640 62.2% 37.8% 0.608 73.0% 27.0% 0.718
Planted 4 times in 12 years 4 2,286,010 69.6% 30.4% 0.680 67.4% 32.6% 0.658
Planted 5 times in 12 years 5 1,894,740 64.6% 35.4% 0.631 65.6% 34.4% 0.641
Planted 6 times in 12 years 6 4,069,170 86.7% 13.3% 0.857 80.9% 19.1% 0.795
Planted 7 times in 12 years 7 1,026,000 72.4% 27.6% 0.718 68.6% 31.4% 0.680
Planted 8 times in 12 years 8 796,364 71.9% 28.1% 0.715 70.9% 29.1% 0.705
Planted 9 times in 12 years 9 491,916 68.3% 31.7% 0.680 63.4% 36.6% 0.630
Planted 10 times in 12 years 10 382,968 60.2% 39.8% 0.599 61.7% 38.3% 0.613
Planted 11 times in 12 years 11 352,989 66.8% 33.2% 0.665 65.7% 34.3% 0.654
Planted 12 times in 12 years 12 672,176 88.6% 11.4% 0.884 72.3% 27.7% 0.720
*Correct Pixels represents the total number of independent validation pixels correctly identified in the error matrix.
Attribute_Accuracy_Value:
The Crop Frequency Layer is based on the Cropland Data Layer (CDL). The classification accuracy of the original CDLs is generally 85% to 95% correct for the major crop-specific land cover categories. See the 'Attribute Accuracy Report' section of this metadata file for the detailed accuracy report.
Attribute_Accuracy_Explanation:
The accuracy assessment of the Crop Frequency Layers use the entire FSA CLU data (agricultural categories) that was used in the training and validation of the original Cropland Data Layers (CDL). Only FSA data that exists in all 12 years (2008-2019) is used for validating the Crop Frequency Layers. See the 'Attribute Accuracy Report' section of this metadata file for the full accuracy report.
These definitions of accuracy statistics were derived from the following book: Congalton, Russell G. and Kass Green. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Boca Raton, Florida: CRC Press, Inc. 1999. The 'Producer's Accuracy' is calculated for each cover type in the ground truth and indicates the probability that a ground truth pixel will be correctly mapped (across all cover types) and measures 'errors of omission'. An 'Omission Error' occurs when a pixel is excluded from the category to which it belongs in the validation dataset. The 'User's Accuracy' indicates the probability that a pixel from the CDL classification actually matches the ground truth data and measures 'errors of commission'. The 'Commission Error' represent when a pixel is included in an incorrect category according to the validation data. It is important to take into consideration errors of omission and commission. For example, if you classify every pixel in a scene to 'wheat', then you have 100% Producer's Accuracy for the wheat category and 0% Omission Error. However, you would also have a very high error of commission as all other crop types would be included in the incorrect category. The 'Kappa' is a measure of agreement based on the difference between the actual agreement in the error matrix (i.e., the agreement between the remotely sensed classification and the reference data as indicated by the major diagonal) and the chance agreement which is indicated by the row and column totals. The 'Conditional Kappa Coefficient' is the agreement for an individual category within the entire error matrix.