Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest

GIScience and Remote Sensing

Volumn 50, Issue 4, 2013, Pages 418-436

  Long, John A ^a   Lawrence, Rick L ^a   Greenwood, Mark C ^a   Marshall, Lucy ^a   Miller, Perry R ^a  

^a MONTANA STATE UNIVERSITY   (United States)

Author keywords

agriculture; classification; Enhanced Thematic Mapper Plus; Landsat; multispectral; multitemporal; object oriented; random forest; remote sensing

Indexed keywords

AGRICULTURE; CLASSIFICATION; CROP; FOREST; LANDSAT THEMATIC MAPPER; MULTISPECTRAL IMAGE; REMOTE SENSING; THEMATIC MAPPING;

EID: 84883510217     PISSN: 15481603     EISSN: None     Source Type: Journal    
DOI: 10.1080/15481603.2013.817150     Document Type: Article

References (48)

1. Adam, E. M., O. Mutanga, D. Rugege, and R. Ismail. 2012. "Discriminating the Papyrus Vegetation (Cyperus papyrus L.) and its Co-Existent Species using Random Forest and Hyperspectral Data Resampled to HYMAP." International Journal of Remote Sensing 33 (2): 552-569.
2. Arvidson, T., S. Goward, J. Gasch, and D. Williams. 2006. "Landsat 7 Long-Term Acquisition Plan: Development and Validation." Photogrammetric Engineering and Remote Sensing 72 (10): 1137-1146.
3. Ashish, D., R. W. McClendon, and G. Hoogenboom. 2009. "Land-Use Classification of Multispectral Aerial Images Using Artificial Neural Networks." International Journal of Remote Sensing 30 (8): 1989-2004.
4. Boloorani, A. D., S. Erasmi, and M. Kappas. 2008. "Multi-Source Image Reconstruction: Exploitation of EO-1/ALI in Landsat 7/ETM+ SLC-Off Gap Filling." In Proceedings of SPIE-IS&T: Image Processing: Algorithms and Systems VI, edited by J. T. Astola, K. O Egiazarian, and E. R. Dougherty, March 31, 6812: 681219-1-681219-12. Bellingham, WA: SPIE Press.
5. Breiman, L. 1996. "Bagging Predictors." Machine Learning 24: 123-140.
6. Breiman, L. 2001. "Random Forests." Machine Learning 45: 5-32.
7. Chapman, D. S., A. Bonn, W. E. Kunin, and S. J. Cornell. 2010. "Random Forest Characterization of Upland Vegetation and Management Burning from Aerial Imagery." Journal of Biogeography 37: 37-46.
8. Chen, F., L. Tang, and Q. Qiu. 2010. "Exploitation of CBERS-02B as Auxiliary Data in Recovering the Landsat 7 ETM+ SLC-Off Image." In Proceedings of the 18th International Conference on Geoinformatics, edited by Y. Liu, and A. Chen, Piscataway, NJ, June 18-20, 6 pp. Beijing: Institute of Electical and Electronics Engineers.
9. Clark, S. 2011. "Veteran Landsat 5 Satellite on the Brink of Failure." Accessed February 20, 2012. http://www.spaceflightnow.com/news/ n1111/18landsat5/
10. Cohen, W. B., T. K. Maiersperger, S. T. Gower, and D. P. Turner. 2003. "An Improved Strategy for Regression of Biophysical Variables and Landsat ETM+ Data." Remote Sensing of Environment 84: 561-571.
11. Congalton, R. G., and K. Green. 2009. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. 2nd ed. Boca Raton, FL: CRC Press.
12. Conrad, C., R. R. Colditz, S. Dech, D. Klein, and P. L. G. Vlek. 2011. "Temporal Segmentation of MODIS Time Series for Improving Crop Classification in Central Asian Irrigation Systems." International Journal of Remote Sensing 32 (23): 8763-8778.
13. El-Magd, I. A., and T. W. Tanton. 2003. "Improvements in Land Use Mapping for Irrigated Agriculture from Satellite Sensor Data Using a Multi-Stage Maximum Likelihood Classification." International Journal of Remote Sensing 24 (21): 4197-4206.
14. Forster, D., T. W. Kellenberger, Y. Buehler, and B. Lennartz. 2010. "Mapping Diversified Peri-Urban Agriculture - Potential of Object-Based Versus Per-Field Land Cover/Land Use Classification." Geocarto International 25 (3): 171-186.
15. Fuller, R. M., G. B. Groom, and A. R. Jones. 1994. "The Land-Cover Map of Great-Britain - An automated Classification of Landsat Thematic Mapper data." Photogrammetric Engineering and Remote Sensing 60: 553-562.
16. Gómez-Casero, M. T., I. L. Castillejo-González, A. García-Ferrer, J. M. Peña-Barragán, M. Jurado- Expósito, L. Garciá-Torres, and F. López-Granados. 2010. "Spectral Discrimination of Wild Oat and Canary Grass in Wheat Fields for Less Herbicide Application." Agronomy for Sustainable Development 30: 689-699.
17. Janssen, L. L. F., and J. D. van Amsterdam. 1996. "An Object-Based Approach to the Classification of Remotely Sensed Images." In Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS '91), edited by J. Putkonen, 2192-2195. New York: IEEE.
18. Lawrence, R. L., S. D. Wood, and R. L. Sheley. 2006. "Mapping Invasive Plants Using Hyperspectral Imagery and Breiman Cutler Classifications (RandomForest)." Remote Sensing of Environment 100: 356-362.
19. Lu, D., and Q. Weng. 2005. "Urban Classification Using Full Spectral Information of Landsat ETM + Imagery in Marion County, Indiana." Photogrammetric Engineering and Remote Sensing 71 (11): 1275-1284.
20. Markham, B. L., J. C. Storey, D. L. Williams, and J. R. Irons. 2004. "Landsat Sensor Performance: History and Current Status." IEEE Transactions on Geoscience and Remote Sensing 42 (12): 2691-2694.
21. Masek, J. G., M. Honzak, S. N. Goward, P. Liu, and E. Pak. 2001. "Landsat ETM+ as an Observatory for Land Cover: Initial Radiometric and Geometric Comparisons with Landsat 5 Thematic Mapper." Remote Sensing of Environment 78: 118-130.
22. Maxwell, S. 2004. "Filling Landsat ETM+ SLC-Off Gaps Using a Segmentation Model Approach." Photogrammetric Engineering and Remote Sensing 70 (10): 1109-1111.
23. Maxwell, S. K., G. L. Schmidt, and J. S. Storey. 2007. "A Multi-Scale Segmentation Approach to Filling Gaps in Landsat ETM+ SLC-Off Images." International Journal of Remote Sensing 28 (10): 5339-5356.
24. MSL (Montana State Library). 2012. "Montana Geographic Information Clearinghouse." Accessed October 12, 2011. http://nris.mt.gov/gis/default. asp
25. NASS (National Agricultural Statistics Service). 2012. Montana Agricultural Statistics, Volume XLIX. Washington, DC: United States Department of Agriculture.
26. Oetter, D. R., W. B. Cohen, M. Berterretche, T. K. Maiersperger, and R. E. Kennedy. 2000. "Land Cover Mapping in an Agricultural Setting using Multi-Seasonal Thematic Mapper data." Remote Sensing of Environment 76 (2): 139-155.
27. Pax-Lenney, M., and C. E. Woodcock. 1997. "Monitoring Agricultural Lands in Egypt with Multitemporal Landsat TM Imagery: How many Images are Needed?" Remote Sensing of Environment 59: 522-529.
28. Pedley, M. I., and P. J. Curran. 1991. "Per-Field Classification: An Example Using SPOT HRV Imagery." International Journal of Remote Sensing 12 (11): 2182-2192.
29. Pringle, M. J., M. Schmidt, and J. S. Muir. 2009. "Geostatistical Interpolation of SLC-Off Landsat ETM+ Images." ISPRS Journal of Photogrammetry and Remote Sensing 64: 654-664.
30. Reza, M. M., and S. N. Ali. 2008. "Using IRS Products to Recover 7ETM+ Defective Images." American Journal of Applied Sciences 5: 618-625.
31. Rodriguez-Galiano, V. F., B. Ghimire, J. Rogan, M. Chica-Olmo, and J. P. Rigol-Sanchez. 2012. "An Assessment of the Effectiveness of a Random Forest Classifier for Land-Cover Classification." ISPRS Journal of Photogrammetry and Remote Sensing 67: 93-104.
32. Roy, D. P., J. Ju, P. Lewis, C. Schaaf, F. Gao, M. Hansen, and E. Lindquist. 2008. "Multitemporal MODIS-Landsat Data Fusion for Relative Radiometric Normalization, Gap Filling, and Prediction of Landsat Data." Remote Sensing of Environment 112: 3112-3130.
33. Savage, S. L., and R. L. Lawrence. 2010. "Vegetation Dynamics in Yellowstone's Northern Range: 1885-1999." Photogrammetric Engineering and Remote Sensing 76 (5): 547-556.
34. Simonneaux, V., B. Duchemin, D. Helson, S. Er-Raki, A. Olioso, and A. G. Chehbouni. 2008. "The Use of High-Resolution Image Time Series for Crop Classification and Evapotranspiration Estimate over an Irrigated Area in Central Morocco." International Journal of Remote Sensing 29 (1): 95-116.
35. Storey, J., P. Scaramuzza, G. Schmidt, and J. Barsi. 2005. "Landsat 7 Scan Line Corrector-Off Gap-Filled Product Development." In ASPRS 2005 - Pecora 16 Conference Proceedings. Sioux Falls, SD: American Society of Photogrammetry and Remote Sensing.
36. Strobl, C., A.-L. Boulesteix, A. Zeileis, and T. Hothorn. 2007. "Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution." BMC Bioinformatics 8: 25.
37. Strobl, C., and A. Zeileis. 2008. "Danger: High power! - Exploring the Statistical Properties of a Test for Random Forest Variable Importance." Proceedings of the 18th International Conference on Computational Statistics, Porto, August 24-28.
38. Tanaka, D. L., D. J. Lyon, P. R. Miller, S. D. Merrill, and B. G. McConkey. 2010. "Soil and Water Conservation in the Semiarid Northern Great Plains." In Soil and Water Conservation Advances in the United States, edited by T. M. Zobeck, and W. F. Schillinger, 81-102. Madison, WI: American Society of Agronomy.
39. Turker, M., and M. Arikan. 2005. "Sequential Masking Classification of Multitemporal Landsat ETM+ Images for Field-Based Crop Mapping in Karacabey, Turkey." International Journal of Remote Sensing 26 (17): 3813-3830.
40. USDA (United States Department of Agriculture). 2012. "USDA National Agricultural Statistics Service Cropland Data Layer (2012)." Accessed June 11, 2013. http://nassgeodata.gmu.edu/CropScape/
41. USGS (United States Geological Survey). 2012. Landsat: A Global Land-Imaging Mission. Reston, VA: U.S. Geological Survey Fact Sheet 2012-3072.
42. Wardlow, B. D., S. L. Egbert, and J. H. Kastens. 2007. "Analysis of Time-Series MODIS 250 m Vegetation Index Data for Crop Classification in the U.S. Central Great Plains." Remote Sensing of Environment 108 (3): 290-310.
43. Watts, J. D., R. L. Lawrence, P. R. Miller, and C. Montagne. 2009. "Monitoring of Cropland Practices for Carbon Sequestration Purposes in North Central Montana by Landsat Remote Sensing." Remote Sensing of Environment 113 (9): 1843-1852.
44. WRCC (Western Regional Climate Center). 2012. "Local Climate Summary for Glasgow, Montana." Accessed October 18, 2011. http://www.wrcc.dri.edu/ summary/ggw.mt.html
45. Wu, S., J. Silván-Cárdenas, and L. Wang. 2007. "Per-Field Urban Land Use Classification Based on Tax Parcel Boundaries." International Journal of Remote Sensing 28 (12): 2777-2800.
46. Zeng, C., H. Shen, and L. Zhang. 2013. "Recovering Missing Pixels for Landsat ETM+ SLC-Off Imagery Using Multitemporal Regression Analysis and a Regularization Method." Remote Sensing of Environment 131: 182-194.
47. Zhang, C., W. Li, and D. Travis. 2007. "Gaps-Fill of SLC-Off Landsat ETM+ Satellite Image Using a Geostatistical Approach." International Journal of Remote Sensing 28 (22): 5103-5122.
48. Zhu, X., D. Liu, and J. Chen. 2012. "A New Geostatistical Approach for Filling Gaps in Landsat ETM+ SLC-Off Images." Remote sensing of Environment 124: 49-60.