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Research Article

Evaluation of different approaches to the fusion of Sentinel -1 SAR data and Resourcesat 2 LISS III optical data for use in crop classification

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Pages 1157-1166 | Received 03 Jan 2020, Accepted 23 Sep 2020, Published online: 02 Dec 2020

References

  • Abdikan, S., F. B. Sanli, M. T. Esetlili, and Y. Kurucu. 2009. “Land Use/Cover Mapping Using Multisensor Image Fusion Technique.” Remote Sensing for a Changing Europe 157–164. doi:10.3233/978-1-58603-986-8-157.
  • Chakraborty, M., C. Patnaik, S. Panigrahy, and J. S. Parihar. 2006. “Monitoring of Wet Season Rice Crop at State and National Level in India Using Multi-date Synthetic Aperture Radar Data.” Agriculture and Hydrology Applications of Remote Sensing 6411: 641103.
  • Clevers, J. 2009. “Assessing the Accuracy of Remotely Sensed Data-Principles and Practices, Russell G. Congalton, Kass Green.” International Journal of Applied Earth Observation and Geoinformation 11 (6): 448–449. doi:10.1016/j.jag.2009.07.002.
  • Dadhwal, V. K., R. P. Singh, S. Dutta, and J. S. Parihar. 2002. “Remote Sensing Based Crop Inventory: A Review of Indian Experience.” Tropical Ecology 43: 107–122.
  • Dimov, D., J. Kuhn, and C. Conrad. 2016. “Assessment of Cropping System Diversity in the Fergana Valley through Image Fusion of Landsat 8 and Sentinel-1.” ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences 7: 173–180. doi:10.5194/isprs-annals-III-7-173-2016.
  • Gumma, M. K., T. Tsusaka, I. Mohammed, G. Chavula, N. V. P. R. Ganga Rao, P. Okori, C. Ojiewo, R. Varshney, M. Siambi, and A. Whitbread. 2019. “Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems.” Remote Sensing 11 (12): 1475. doi:10.3390/rs11121475.
  • Hebbar, R., and M. V. R. Sai. 2014. “Comparison of LSS-IV and LISS-III+LISS-IV Merged Data for Classification of Crops.” ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-8: 101–105. doi:10.5194/isprsannals-ii-8-101-2014.
  • Inglada, J., A. Vincent, M. Arias, and C. Marais-Sicre. 2016. “Improved Early Crop Type Identification by Joint Use of High Temporal Resolution SAR and Optical Image Time Series.” Remote Sensing 8 (5): 362. doi:10.3390/rs8050362.
  • Jain, V., S. Saxena, S. Dubey, K. Choudhary, S. Sehgal, Neetu, and S. S. Ray. 2019. “Rice (Kharif) Production Estimation Using SAR Data of Different Satellites and Yield Models: A Comparative Analysis of the Estimates Generated under FASAL Project.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-3/W6:99-107. 10.5194/isprs-archives-XLII-3-W6-99-2019
  • Joshi, N., M. Baumann, A. Ehammer, R. Fensholt, K. Grogan, P. Hostert, M. R. Jepsen, et al. 2016. “A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring.” Remote Sensing 8: 1–23. doi:10.3390/rs8010070.
  • Kamusoko, C., M. Aniya, B. Adi, and M. Manjoro. 2009. “Rural Sustainability under Threat in Zimbabwe – Simulation of Future Land Use/Cover Changes in the Bindura District Based on the Markov-Cellular Automata Model.” Applied Geography 29 (3): 435–447. doi:10.1016/j.apgeog.2008.10.002.
  • Navalgund, R., V. Jayaraman, and R. Parth. 2007. “Remote Sensing Applications: An Overview.” Current Science 93: 1747–1766.
  • Nitze, I., U. Schulthess, and U, H. Asche. 2012. “Comparison of Machine Learning Algorithms Random Forest, Artificial Neural Network and Support Vector Machine to Maximum Likelihood for Supervised Crop Type Classification.” Proceedings of the 4th Conference on Geographic Object-Based Image Analysis – GEOBIA, 35-40. Rio de Janeiro – Brazil.
  • Park, S., J. Im, S. Park, C. Yoo, H. Han, and J. Rhee. 2018. “Classification of Croplands through Fusion of Optical and SAR Time Series Data.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 41: 703–704. doi:10.5194/isprsarchives-XLI-B7-703-2016.
  • Pohl, C., and J. L. Genderen. 1998. “Review Article Multisensor Image Fusion in Remote Sensing: Concepts, Methods and Applications.” International Journal of Remote Sensing 19 (5): 823–854. doi:10.1080/014311698215748.
  • Ray, S. S. 2004. “Merging of IRS LISS III and PAN Data—evaluation of Various Methods for a Predominantly Agricultural Area.” International Journal of Remote Sensing 25 (13): 2657–2664. doi:10.1080/01431160410001665821.
  • Ray, S. S., and Neetu. 2017. “Crop Area Estimation with Remote Sensing.” In Handbook on Remote Sensing for Agricultural Statistics (Chapter 5), edited by J. Delincé, 131–183. Rome: Global Strategy Improving Agricultural and Rural Statistics (GSARS), FAO Statistics Division (ESS), Food and Agriculture Organization at the United Nations.
  • Tomppo, E., O. Antropov, and J. Praks. 2019. “Cropland Classification Using Sentinel-1 Time Series: Methodological Performance and Prediction Uncertainty Assessment.” Remote Sensing 11 (21): 2480. doi:10.3390/rs11212480.
  • Topaloglu, R., E. Sertel, and N. Musaoglu. 2016. “Assessment of Classification Accuracies of Sentinel-2 and Landsat-8 Data for Land Cover/Use Mapping.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 41: 1055–1059. doi:10.5194/isprsarchives-XLI-B8-1055-2016.
  • Useya, J., and S. Chen. 2019. “Exploring the Potential of Mapping Cropping Patterns on Smallholder Scale Croplands Using Sentinel-1 SAR Data.” Chinese Geographical Science 29 (4): 626–639. doi:10.1007/s11769-019-1060-0.
  • Wang, Z., and A. Bovik. 2002. “A Universal Image Quality Index.” IEEE Signal Processing Letters 9 (3): 81–84. doi:10.1109/97.995823.
  • Zhang, J. 2010. “Multi-Source Remote Sensing Data Fusion: Status and Trends.” International Journal of Image and Data Fusion 1 (1): 5–24. doi:10.1080/19479830903561035.

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