Ld crops (corn, soybean, and winter wheat) using 15 Hyperion narrowbands. Analysis
Ld crops (corn, soybean, and winter wheat) applying 15 Hyperion narrowbands. Evaluation was performed GS-626510 Epigenetic Reader Domain across 3 years, for 4 months throughout every expanding season when available; these FM4-64 Chemical Accuracies are averages across these 3 years. Image(s) Applied June July August September June uly June ugust June eptember July ugust July eptember August eptember June uly ugust June uly eptember June ugust eptember July ugust eptember June uly ugust eptember All round Accuracy 77 76 76 77 89 93 93 93 94 91 99 one hundred 99 99 100 Producer’s (User’s) Accuracy Corn 50 56 23 59 82 91 100 100 100 one hundred one hundred one hundred one hundred 100 100 (48) (75) (23) (56) (90) (85) (82) (83) (93) (79) (one hundred) (100) (97) (100) (one hundred) Soybean 60 75 87 47 one hundred 90 98 100 96 85 100 100 one hundred 97 100 (53) (59) (66) (66) (one hundred) (88) (91) (one hundred) (100) (94) (one hundred) (100) (98) (100) (100) Winter Wheat 88 91 75 87 92 96 96 96 99 94 one hundred 100 100 99 100 (82) (79) (84) (79) (86) (95) (95) (90) (95) (93) (97) (one hundred) (one hundred) (99) (one hundred) These outcomes are for the validation subset, which was not made use of for instruction and testing.Far more detailed benefits are included within the Supplementary Components, which include confusion matrices and linked calculations of producer’s, user’s, and overall accuracies. From these matrices, the user can see when crop types have been classified appropriately and incorrectly. For instance, Table S119 shows Random Forest benefits for the August DESIS imagery information. Out of 129 corn samples, 110 were classified appropriately to get a producer’s accuracy of 85 . Out on the other 19 misclassified samples, five had been classified as winter wheat, six as other-crop, and 8 as non-crop. Comparable error matrices are obtainable in Supplementary Components for other years, months, sensors, and algorithms (Tables S1 144).Remote Sens. 2021, 13,16 ofTable 8. Hyperion Naive Bayes Accuracies. Classification accuracies for Naive Bayes separating three top globe crops (corn, soybean, and winter wheat) employing 15 Hyperion narrowbands. Evaluation was carried out across 3 years, for 4 months all through every developing season when out there; these accuracies are averages across those three years. Image(s) Applied June July August September June uly June ugust June eptember July ugust July eptember August eptember June uly ugust June uly eptember June ugust eptember July ugust eptember June uly ugust eptember All round Accuracy 66 66 67 67 68 72 77 71 79 70 75 86 79 79 82 Producer’s (User’s) Accuracy Corn 17 17 17 26 91 46 75 25 81 52 88 100 70 53 90 (one hundred) (63) (25) (41) (67) (42) (42) (50) (68) (45) (82) (84) (48) (43) (79) Soybean 92 23 70 40 82 94 78 69 54 62 93 87 90 72 89 (50) (75) (70) (53) (56) (67) (76) (70) (79) (47) (64) (81) (78) (69) (68) Winter Wheat 76 91 77 91 81 84 86 82 94 87 86 95 93 91 91 (65) (59) (75) (69) (66) (80) (83) (73) (78) (76) (80) (87) (84) (79) (86) These results are for the validation subset, which was not utilized for instruction and testing.Table 9. Hyperion WekaXMeans Accuracies. Classification accuracies for WekaXMeans separating 3 leading globe crops (corn, soybean, and winter wheat) using 15 Hyperion narrowbands. Evaluation was conducted across 3 years, for four months throughout each and every developing season when out there; these accuracies are averages across these 3 years. Image(s) Applied June July August September June uly June ugust June eptember July ugust July eptember August eptember June uly ugust June uly eptember June ugust eptember July ugust eptember June uly ugust eptember All round Accuracy 60 34 54 61 70 71 77 66 59 63 75 78 76 73 88 50 93 33 44 82.
