Contemporary and historical classification of crop types in Arizona

International Journal of Remote Sensing

Volumn 34, Issue 17, 2013, Pages 6024-6036

  Hartfield, Kyle A ^a   Marsh, Stuart E ^a   Kirk, Christa D ^a   Carrière, Yves ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; FORESTRY; MAXIMUM LIKELIHOOD; PEST CONTROL;

CLASSIFICATION ALGORITHM; CLASSIFICATION AND REGRESSION TREE; CLASSIFICATION RESULTS; CONCURRENT TRAINING; INTEGRATED PEST MANAGEMENT; LANDSAT THEMATIC MAPPER; OVERALL ACCURACIES; REGRESSION TREES;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; CROP; INSECTICIDE; INTEGRATED PEST MANAGEMENT; LANDSAT THEMATIC MAPPER; MAXIMUM LIKELIHOOD ANALYSIS; REGRESSION ANALYSIS; SATELLITE IMAGERY; WHITEFLY;

CLASSIFICATION; FARM CROPS; FORESTRY; INFORMATION RETRIEVAL; PEST CONTROL;

ARIZONA; PINAL COUNTY; UNITED STATES;

ALEYRODIDAE; GOSSYPIUM HIRSUTUM;

EID: 84879520844     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.793861     Document Type: Article

References (35)

1. Badhwar, G. D. 1984. Classification of Corn and Soybean Using Multi-Temporal Thematic Mapper Data. Remote Sensing of Environment, 16: 175 - 181.
2. Belward, A. S. and de Hoyos, A. 1987. A Comparison of Supervised Maximum Likelihood and Decision Tree Classification for Crop Cover Estimation from Multitemporal LANDSAT MSS Data. International Journal of Remote Sensing, 8: 229 - 235.
3. Carrière, Y., Ellers-Kirk, C., Harthfield, K., Larocque, G., Degain, B., Dutilleul, P., Dennehy, T. J., Marsh, S. E., Crowder, D. W., Li, X., Ellsworth, P. C., Naranjo, S. E., Palumbo, J. C., Fournier, A., Antilla, L. and Tabashnik, B. E. 2012. Large-Scale, Spatially-Explicit Test of the Refuge Strategy for Delaying Insecticide Resistance. Proceedings of the National Academy of Sciences USA, 109: 775 - 780.
4. Carrière, Y., Ellers-Kirk, K., Kumar, K., Heuberger, S., Whitlow, M., Antilla, L., Dennehy, T. J. and Tabashnik, B. E. 2005. LongTerm Evaluation of Compliance with Refuge Requirements for Bt Cotton. Pest Management Science, 61: 327 - 330.
5. Carrière, Y., Ellsworth, P. C., Dutilleul, P., Ellers-Kirk, C., Barkley, V. and Antilla, L. 2006. A GIS-Based Approach for Area-Wide Pest Management: The Scales of Lygus hesperus Movements to Cotton from Alfalfa, Weeds and Cotton. Entomologia Experimentalis et Applicata, 118: 203 - 210.
6. Chander, G., Markham, B. L. and Barsi, J. A. 2007. Revised Landsat-5 Thematic Mapper Radiometric Calibration. IEEE Geoscience and Remote Sensing Letters, 4: 490 - 494.
7. Chavez, P. S. J. 1996. Image-Based Atmospheric Corrections - Revisited and Improved. Photogrammetric Engineering and Remote Sensing, 62: 1025 - 1036.
8. Cohen, J. 1960. A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20: 37 - 46.
9. Cohen, Y. and Shoshany, M. 2002. A National Knowledge-Based Crop Recognition in Mediterranean Environment. International Journal of Applied Earth Observation and Geoinfromation, 4: 75 - 87.
10. Cohen, Y. and Shoshany, M. 2005. Analysis of Convergent Evidence in an Evidential Reasoning Knowledge-Based Classification. Remote Sensing of Environment, 96: 518 - 528.
11. Crowder, D. W., Ellsworth, P. C., Tabashnik, B. E. and Carrière, Y. 2008. Effects of Operational and Environmental Factors on Evolution of Resistance to Pyriproxyfen in the Sweetpotato Whitefly (Hemiptera Aleyrodidae). Environmental Entomology, 37: 1514 - 1524.
12. Crowder, D. W., Dennehy, T. J., Ellers-Kirk, C., Yafuso, C. M., Ellsworth, P. C., Tabashnik, B. E. and Carrière, Y. 2007. Field Evaluation of Resistance to Pyriproxyfen in Bemisia Tabaci (B Biotype). Journal of Economic Entomology, 100: 1650 - 1656.
13. Definiens, AG. 2007. Definiens Developer 7 Reference Book, 1 - 195. Munich: Definiens AG.
14. Degloria, S. D. 1984. Spectral Variability of LANDSAT-4 Thematic Mapper and Multispectral Scanner Data for Selected Crop and Forest Cover Types. " IEEE Transactions on Geoscience and Remote Sensing GE-, 22: 303 - 311.
15. De Leeuw, J., Jia, H., Yang, L., Liu, X., Schimdt, K. and Skidmore, A. K. 2006. Comparing Accuracy Assessments to Infer Superiority of Image Classification Methods. International Journal of Remote Sensing, 27: 223 - 232.
16. Di Zenzo, S., Bernstein, R., Degloria, S. D. and Kolsky, H. G. 1987. Gaussian Maximum Likelihood and Contextual Classification Algorithms for Multicrop Classification. " IEEE Transactions on Geoscience and Remote Sensing GE-, 25: 805 - 814.
17. Foody, G. M. 2004. Thematic Map Comparison: Evaluating the Statistical Significance of Differences in Classification Accuracy. Photogrammetric Engineering and Remote Sensing, 70: 627 - 633.
18. Foody, G. M. 2009. Sample Size Determination for Image Classification Accuracy Assessment and Comparison. International Journal of Remote Sensing, 30: 5273 - 5291.
19. Jensen, J. R. 2005. Introductory Digital Image Processing a Remote Sensing Perspective, 3rd, Upper Saddle River, NJ: Pearson Education.
20. Jensen, J. R., Garcia-Quijano, M., Hadley, B., Im, J., Wang, Z., Nel, A. L., Teixeira, E. and Davis, B. A. 2006. Remote Sensing Agricultural Crop Type for Sustainable Development in South Africa. Geocarto International, 21: 5 - 18.
21. Johnson, D. M. 2008. A Comparison of Coincident Landsat-5 TM and Resourcesat-1 AWiFS Imagery for Classifying Croplands. Photogrammetric Engineering and Remote Sensing, 74: 1413 - 1423.
22. Kauth, R. J. and Thomas, G. S. 29 June-1 July 1976. " The Tasseled Cap - A Graphic Description of the Spectral-Temporal Development of Agricultural Crops as Seen by Landsat. ". In Proceedings Symposium on Machine Processing of Remotely Sensed Data, 29 June-1 July, 41 - 51. West Lafayette, IN: Purdue University. 1976
23. Kauth, R. J., Lambeck, P. F., Richardson, W., Thomas, G. S. and Pentland, A. P. 1979. " Feature Extraction Applied to Agricultural Crops as Seen by Landsat. ". In Proceedings LACIE Symposium, 705 - 721. TX: NASA: Houston.
24. Lawrence, R. L. and Wright, A. 2004. Rule-Based Classification Systems Using Classification and Regression Tree (CART) Analysis. Photogrammetric Engineering and Remote Sensing, 67: 1137 - 1142.
25. Liu, C., Frazier, P. and Kumar, L. 2007. Comparative Assessment of the Measures of Thematic Classification Accuracy. Remote Sensing of Environment, 107: 606 - 616.
26. Liu, X., Skidmore, A. K. and Oosten, H. V. 2002. Integration of Classification Methods for Improvement of Land-Cover Map Accuracy. ISPRS Journal of Photogrammetry and Remote Sensing, 56: 257 - 268.
27. Mcnemar, Q. 1947. Note on the Sampling Error of the Difference between Correlated Proportions or Percentages. Psychometrika, 12: 153 - 157.
28. Palumbo, J. C., Horowitz, A. R. and Prabhaker, N. 2001. Insecticidal Control and Resistance Management for Bemisia tabaci. Crop Protection, 20: 739 - 765.
29. Quilan, J. R. 1993. C4.5: Programs for Machine Learning, San Mateo, CA: Morgan Kaufmann.
30. Quilan, J. R. 2010. Data Mining Tools See5 and C5.0. http://www.rulequest.com/see5-info.html (http://www.rulequest.com/see5-info.html) (Accessed: 15 June 2011).
31. Rouse, J. W., Haas, R. H., Schell, J. A. and Deering, D. W. 1973. " Monitoring Vegetation Systems in the Great ". In Proceedings 3rd Earth Resource Technology Satellite (ERTS) Symposium, 309 - 317. Washington, DC: NASA SP-351. Plains with ERTS
32. Stehman, S. V. 2009. Sampling Designs for Accuracy Assessment of Land Cover. International Journal of Remote Sensing, 30: 5243 - 5272.
33. Tabashnik, B. E., Sisterson, M. S., Ellsworth, P. C., Dennehy, T. J., Antilla, L., Liesner, L., Withlow, M., Staten, R. T., Fabrick, J. A., Unithn, G. C., Yelich, A. J., Ellers-Kirk, C., Harpold, V. S., Li, X. and Carrière, Y. 2010. Suppressing Resistance to Bt Cotton with Sterile Insect Release. Nature Biotechnology, 28: 1304 - 1308.
34. Tso, B. and Mather, P. M. 2009. Classification Methods for Remotely Sensed Data, 1 - 356. New York: Taylor and Francis.
35. Xie, H., Tian, Y. Q., Granillo, J. A. and Keller, G. R. 2007. Suitable Remote Sensing Method and Data for Mapping and Measuring Active Crop Fields. International Journal of Remote Sensing, 28: 395 - 411.