Evaluation of Sentinel-2A Satellite Imagery for Mapping Cotton Root Rot
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Image Acquisition and Processing
2.2.1. Airborne Multispectral Imagery
2.2.2. Sentinel-2A Satellite Imagery
2.3. Image Classification and Analysis
2.3.1. Cotton Field Identification
2.3.2. Classification of Cotton Root Rot
2.3.3. Accuracy Assessment
3. Results
3.1. Airborne Multispectral Image Classification
3.2. Sentinel-2A Image Classification
3.3. Classification Accuracy Assessment
3.4. Overlapped Root Rot Area between Airborne Image and Sentinel-2A Image
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Field ID | Field Area (ha) | Cotton Root Rot-Infested Area (ha) | Field ID | Field Area (ha) | Cotton Root Rot-Infested Area (ha) | ||||
---|---|---|---|---|---|---|---|---|---|
0.81 m | 10 m | 0.81 m | 10 m | 0.81 m | 10 m | 0.81 m | 10 m | ||
1 | 16.67 | 16.39 | 3.17 | 3.06 | 13 | 17.07 | 17.01 | 0.46 | 0.47 |
2 | 6.12 | 5.98 | 0.25 | 0.2 | 14 | 88.76 | 89.28 | 15.9 | 15.82 |
3 | 54.63 | 54.78 | 5.75 | 5.8 | 15 | 81.78 | 82.36 | 0 | 0 |
4 | 12.72 | 12.53 | 0.42 | 0.44 | 16 | 59.67 | 60.14 | 4.67 | 4.69 |
5 | 55.51 | 55.83 | 6.27 | 6.06 | 17 | 65.05 | 64.78 | 0.51 | 0.51 |
6 | 20.3 | 20.38 | 7.6 | 7.37 | 18 | 53.64 | 53.68 | 0.81 | 0.78 |
7 | 9.44 | 9.77 | 0 | 0.02 | 19 | 76.37 | 76.36 | 0.91 | 0.96 |
8 | 58.99 | 58.79 | 1.09 | 1.13 | 20 | 42.74 | 43.09 | 3.32 | 3.25 |
9 | 34.19 | 33.73 | 3.57 | 3.54 | 21 | 38.98 | 39.04 | 9.9 | 10.01 |
10 | 38.49 | 38.47 | 18.1 | 18.13 | 22 | 25.2 | 25.01 | 10.6 | 10.7 |
11 | 33.94 | 33.82 | 3.95 | 4.08 | 23 | 51.17 | 51.16 | 3.97 | 3.82 |
12 | 77.11 | 76.71 | 4.41 | 4.34 | 24 | 9.88 | 10.19 | 5.58 | 5.48 |
Field ID | Field Area (ha) | Cotton Root Rot-Infected Area (ha) | Field ID | Field Area (ha) | Cotton Root Rot-Infected Area (ha) | ||
---|---|---|---|---|---|---|---|
Subset Images | Whole Image | Subset Images | Whole Image | ||||
1 | 16.39 | 2.98 | 15.73 | 13 | 17.01 | 0.64 | 1.31 |
2 | 5.98 | 0.18 | 0.59 | 14 | 89.28 | 19.84 | 22 |
3 | 54.78 | 6.79 | 6.18 | 15 | 82.36 | 0 | 42.22 |
4 | 12.53 | 0.2 | 0.4 | 16 | 60.14 | 6.7 | 5.15 |
5 | 55.83 | 9.24 | 6.37 | 17 | 64.78 | 1.95 | 0 |
6 | 20.38 | 5.26 | 3.46 | 18 | 53.68 | 0.86 | 0.09 |
7 | 9.77 | 0 | 0.15 | 19 | 76.36 | 0.52 | 0.52 |
8 | 58.79 | 3.12 | 4.24 | 20 | 43.09 | 6.03 | 1.24 |
9 | 33.73 | 6.15 | 0.8 | 21 | 39.04 | 10.38 | 4.38 |
10 | 38.47 | 16.69 | 25.77 | 22 | 25.01 | 12.56 | 15.19 |
11 | 33.82 | 5.18 | 0.98 | 23 | 51.16 | 2.53 | 0.07 |
12 | 76.71 | 8.74 | 2.22 | 24 | 10.19 | 4.72 | 5 |
Classification Category | Actual Category | User’s Accuracy | ||
---|---|---|---|---|
Infested (pixels) | Non-Infested (pixels) | Total (pixels) | ||
Infested (pixels) | 9920 | 3561 | 13,481 | 73.59% |
Non-infested (pixels) | 1999 | 78,235 | 80,234 | 97.51% |
Total (pixels) | 11,919 | 81,796 | 93,715 | |
Producer’s accuracy | 83.23% | 96.65% |
Classified Category | Actual category | User’s Accuracy | ||
---|---|---|---|---|
Infested (pixels) | Non-Infested (pixels) | Total (pixels) | ||
Infested (pixels) | 8810 | 5899 | 14,709 | 59.90% |
Non-infested (pixels) | 3168 | 85,051 | 88,219 | 96.41% |
Total (pixels) | 11,978 | 90,950 | 102,928 | |
Producer’s accuracy | 73.55% | 93.51% |
Zone | Number of Fragments | Minimum Area (m2) | Maximum Area (m2) | Average Area (m2) | Total Area (ha) | ||||
---|---|---|---|---|---|---|---|---|---|
Subset Images | Whole Image | Subset Images | Whole Image | Subset Images | Whole Image | Subset Images | Whole Image | ||
Red | 499 | 337 | 100 | 102,100 | 105,400 | 1698 | 2243 | 84.72 | 75.58 |
Yellow | 1268 | 1160 | 100 | 10,300 | 15,100 | 214 | 312 | 27.10 | 36.23 |
Blue | 1028 | 664 | 100 | 15,900 | 259,700 | 500 | 1092 | 51.35 | 72.5 |
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Song, X.; Yang, C.; Wu, M.; Zhao, C.; Yang, G.; Hoffmann, W.C.; Huang, W. Evaluation of Sentinel-2A Satellite Imagery for Mapping Cotton Root Rot. Remote Sens. 2017, 9, 906. https://doi.org/10.3390/rs9090906
Song X, Yang C, Wu M, Zhao C, Yang G, Hoffmann WC, Huang W. Evaluation of Sentinel-2A Satellite Imagery for Mapping Cotton Root Rot. Remote Sensing. 2017; 9(9):906. https://doi.org/10.3390/rs9090906
Chicago/Turabian StyleSong, Xiaoyu, Chenghai Yang, Mingquan Wu, Chunjiang Zhao, Guijun Yang, Wesley Clint Hoffmann, and Wenjiang Huang. 2017. "Evaluation of Sentinel-2A Satellite Imagery for Mapping Cotton Root Rot" Remote Sensing 9, no. 9: 906. https://doi.org/10.3390/rs9090906