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Research Article

A multitemporal index for the automatic identification of winter wheat based on Sentinel-2 imagery time series

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Article: 2262833 | Received 27 Apr 2023, Accepted 20 Sep 2023, Published online: 30 Sep 2023

References

  • Bahram, S., B. Daneshfar, and A. M. Davidson. 2017. “Accurate Crop-Type Classification Using Multi-Temporal Optical and Multi-Polarization SAR Data in an Object-Based Image Analysis Framework.” International Journal of Remote Sensing 38 (14): 4130–19. https://doi.org/10.1080/01431161.2017.1317933.
  • Bangira, T., S. Maria Alfieri, M. Menenti, and A. van Niekerk. 2019. “Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water.” Remote Sensing 11 (11). https://doi.org/10.3390/rs11111351.
  • Belgiu, M., and O. Csillik. 2018. “Sentinel-2 Cropland Mapping Using Pixel-Based and Object-Based Time-Weighted Dynamic Time Warping Analysis.” Remote Sensing of Environment. Elsevier204:509–523. https://doi.org/10.1016/j.rse.2017.10.005.
  • Bhandari, A. K., V. Kumar Singh, A. Kumar, and G. Kumar Singh. 2014. “Cuckoo Search Algorithm and Wind Driven Optimization Based Study of Satellite Image Segmentation for Multilevel Thresholding Using Kapur’s Entropy.” Expert Systems with Applications 41 (7): 3538–3560. Elsevier Ltd. https://doi.org/10.1016/j.eswa.2013.10.059
  • Bouhennache, R., T. Bouden, A. Taleb-Ahmed, and A. Cheddad. 2019. “A New Spectral Index for the Extraction of Built-Up Land Features from Landsat 8 Satellite Imagery.” Geocarto International 34 (14): 1531–1551. Taylor & Francis. https://doi.org/10.1080/10106049.2018.1497094.
  • Brown, J. C., J. H. Kastens, A. Camargo Coutinho, D. de Castro Victoria, and C. R. Bishop. 2013. “Classifying Multiyear Agricultural Land Use Data from Mato Grosso Using Time-Series MODIS Vegetation Index Data.” Remote Sensing of Environment 130:39–50. Elsevier Inc. https://doi.org/10.1016/j.rse.2012.11.009.
  • Chang, Q., L. Peijun, and C. Zhang. 2021. “A Spectral Index for Winter Wheat Mapping Using Multi-Temporal Landsat NDVI Data of Key Growth Stages.” ISPRS Journal of Photogrammetry and Remote Sensing 175 (April): 431–447. Elsevier B.V. https://doi.org/10.1016/j.isprsjprs.2021.03.015.
  • Choi, H., and R. Bindschadler. 2004. “Cloud Detection in Landsat Imagery of Ice Sheets Using Shadow Matching Technique and Automatic Normalized Difference Snow Index Threshold Value Decision.” Remote Sensing of Environment 91 (2): 237–242. https://doi.org/10.1016/j.rse.2004.03.007.
  • Davoud, A., H. Salehi Shahrabi, M. Azadbakht, H. N. Hossein Aghighi, A. Alimohammadi, A. Akbar Matkan, and A. A. Matkan. 2019. “Automatic Canola Mapping Using Time Series of Sentinel 2 Images.” ISPRS Journal of Photogrammetry and Remote Sensing 156 (July): 63–76. https://doi.org/10.1016/j.isprsjprs.2019.08.007.
  • Dong, J., W. Liu, W. Han, K. Xiang, T. Lei, and W. Yuan. 2020. “A Phenology-Based Method for Identifying the Planting Fraction of Winter Wheat Using Moderate-Resolution Satellite Data.” International Journal of Remote Sensing 41 (18): 6892–6913. https://doi.org/10.1080/01431161.2020.1755738.
  • Fang, P., X. Zhang, P. Wei, Y. Wang, H. Zhang, F. Liu, and J. Zhao. 2020. “The Classification Performance and Mechanism of Machine Learning Algorithms in Winter Wheat Mapping Using Sentinel-2 10 M Resolution Imagery.” Applied Sciences (Switzerland) 10 (15). https://doi.org/10.3390/app10155075.
  • Feyisa, G. L., H. Meilby, R. Fensholt, and S. R. Proud. 2014. “Automated Water Extraction Index: A New Technique for Surface Water Mapping Using Landsat Imagery.” Remote Sensing of Environment 140:23–35. Elsevier Inc. https://doi.org/10.1016/j.rse.2013.08.029.
  • Gella, G. W., W. Bijker, and M. Belgiu. 2021 March. “Mapping Crop Types in Complex Farming Areas Using SAR Imagery with Dynamic Time Warping.” ISPRS Journal of Photogrammetry and Remote Sensing 175:171–183. Elsevier B.V. https://doi.org/10.1016/j.isprsjprs.2021.03.004.
  • Ghorbanian, A., M. Kakooei, M. Amani, S. Mahdavi, A. Mohammadzadeh, and M. Hasanlou. 2020. “Improved Land Cover Map of Iran Using Sentinel Imagery within Google Earth Engine and a Novel Automatic Workflow for Land Cover Classification Using Migrated Training Samples.” ISPRS Journal of Photogrammetry and Remote Sensing 167 ( July): 276–288. Elsevier B.V. https://doi.org/10.1016/j.isprsjprs.2020.07.013.
  • Han, L., J. Ding, J. Wang, J. Zhang, B. Xie, and J. Hao. 2022. “Monitoring Oasis Cotton Fields Expansion in Arid Zones Using the Google Earth Engine: A Case Study in the Ogan-Kucha River Oasis, Xinjiang, China.” Remote Sensing 14 (225): 1–14. https://doi.org/10.3390/rs14010225.
  • Han, Q., and Z. Niu. 2020. “Construction of the Long-Term Global Surface Water Extent Dataset Based on Water-NDVI Spatio-Temporal Parameter Set.” Remote Sensing 12 (17): 2675. https://doi.org/10.3390/RS12172675.
  • Huang, X., J. Huang, L. Xuecao, Q. Shen, and Z. Chen. 2022. “Early Mapping of Winter Wheat in Henan Province of China Using Time Series of Sentinel-2 Data.” GIScience & Remote Sensing 59 (1): 1534–1549. Taylor & Francis. https://doi.org/10.1080/15481603.2022.2104999.
  • Jiao, X., J. M. Kovacs, J. Shang, H. McNairn, D. Walters, M. Baoluo, and X. Geng. 2014. “Object-Oriented Crop Mapping and Monitoring Using Multi-Temporal Polarimetric RADARSAT-2 Data.”ISPRS Journal of Photogrammetry and Remote Sensing 96. International Society for Photogrammetry and Remote Sensing, Inc (ISPRS): 38–46. https://doi.org/10.1016/j.isprsjprs.2014.06.014.
  • Konduri, V. S., J. Kumar, W. W. Hargrove, F. M. Hoffman, and A. R. Ganguly. 2020. “Mapping Crops within the Growing Season Across the United States.” Remote Sensing of Environment 251(August). https://doi.org/10.1016/j.rse.2020.112048.
  • Lambert, M. J., P. C. S. Traoré, X. Blaes, P. Baret, and P. Defourny. 2018. “Estimating Smallholder Crops Production at Village Level from Sentinel-2 Time Series in Mali’s Cotton Belt.” Remote Sensing of Environment 216 (June): 647–657. Elsevier. https://doi.org/10.1016/j.rse.2018.06.036
  • Lei, G., L. Ainong, J. Bian, H. Yan, L. Zhang, Z. Zhang, and X. Nan. 2020. “OIC-MCE: A Practical Land Cover Mapping Approach for Limited Samples Based on Multiple Classifier Ensemble and Iterative Classification.” Remote Sensing 12 (6): 1–21. https://doi.org/10.3390/rs12060987.
  • Linrong, L., S. Hongjun, D. Qian, and T. Wu. 2021. “A Novel Surface Water Index Using Local Background Information for Long Term and Large-Scale Landsat Images.” Isprs Journal of Photogrammetry & Remote Sensing 172:59–78. November 2020. https://doi.org/10.1016/j.isprsjprs.2020.12.003.
  • Ludwig, C., A. Walli, C. Schleicher, J. Weichselbaum, and M. Riffler. 2019. “A Highly Automated Algorithm for Wetland Detection Using Multi-Temporal Optical Satellite Data.” Remote Sensing of Environment 224 ( February): 333–351. Elsevier. https://doi.org/10.1016/j.rse.2019.01.017.
  • Luo, H. X., S. P. Dai, M. O. Li, E. P. Liu, Q. Zheng, Y. Y. Hu, and X. P. Yi. 2020. “Comparison of Machine Learning Algorithms for Mapping Mango Plantations Based on Gaofen-1 Imagery.” Journal of Integrative Agriculture 19 (11): 2815–2828. CAAS. Publishing services by Elsevier B.V. https://doi.org/10.1016/S2095-3119(20)63208-7
  • Martinez, C., J. Andres, L. Elena Cué La Rosa, R. Queiroz Feitosa, and I. Del Arco Sanches. 2021. “Fully Convolutional Recurrent Networks for Multidate Crop Recognition from Multitemporal Image Sequences.” Isprs Journal of Photogrammetry & Remote Sensing. November 2020171:188–201. https://doi.org/10.1016/j.isprsjprs.2020.11.007.
  • Martinis, S., A. Twele, and S. Voigt. 2009. “Towards Operational Near Real-Time Flood Detection Using a Split-Based Automatic Thresholding Procedure on High Resolution TerraSAR-X Data.” Natural Hazards & Earth System Science 9 (2): 303–314. https://doi.org/10.5194/nhess-9-303-2009.
  • Nie, F., C. Gao, Y. Guo, and M. Gan. 2011. “Two-Dimensional Minimum Local Cross-Entropy Thresholding Based on Co-Occurrence Matrix.” Computers and Electrical Engineering 37 (5): 757–767. Elsevier Ltd. https://doi.org/10.1016/j.compeleceng.2011.06.006
  • Oliphant, A. J., P. S. Thenkabail, P. Teluguntla, J. Xiong, M. Krishna Gumma, R. G. Congalton, and K. Yadav. 2019. “Mapping Cropland Extent of Southeast and Northeast Asia Using Multi-Year Time-Series Landsat 30-M Data Using a Random Forest Classifier on the Google Earth Engine Cloud.” International Journal of Applied Earth Observation and Geoinformation. August 2018 Elsevier81:110–124. https://doi.org/10.1016/j.jag.2018.11.014.
  • Qiu, B., L. Difei, Z. Tang, C. Chen, and F. Zou. 2017. “Automatic and Adaptive Paddy Rice Mapping Using Landsat Images: Case Study in Songnen Plain in Northeast China.” Science of the Total Environment. Elsevier B.V.598:581–592. https://doi.org/10.1016/j.scitotenv.2017.03.221.
  • Qiu, B., F. Jiang, C. Chen, Z. Tang, W. Wenbin, and J. Berry. 2021. “Phenology-Pigment Based Automated Peanut Mapping Using Sentinel-2 Images.” GIScience & Remote Sensing 58 (8): 1335–1351. Taylor & Francis. https://doi.org/10.1080/15481603.2021.1987005.
  • Qiu, B., Y. Luo, Z. Tang, C. Chen, L. Difei, H. Huang, Y. Chen, N. Chen, and X. Weiming 2017. “Winter Wheat Mapping Combining Variations Before and After Estimated Heading Dates.”ISPRS Journal of Photogrammetry and Remote Sensing 123. International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS): 35–46. https://doi.org/10.1016/j.isprsjprs.2016.09.016.
  • Ren, J., Y. Shao, H. Wan, Y. Xie, and A. Campos. 2021. “A Two-Step Mapping of Irrigated Corn with Multi-Temporal MODIS and Landsat Analysis Ready Data.” ISPRS Journal of Photogrammetry and Remote Sensing 176 (April): 69–82. Elsevier B.V. https://doi.org/10.1016/j.isprsjprs.2021.04.007.
  • Rosin, P. L. 2001. “Unimodal Thresholding.” Pattern Recognition 34 (11): 2083–2096. https://doi.org/10.1016/S0031-3203(00)00136-9.
  • Sun, H., X. Aigong, H. Lin, L. Zhang, and Y. Mei. 2012. “Winter Wheat Mapping Using Temporal Signatures of MODIS Vegetation Index Data.” International Journal of Remote Sensing 33 (16): 5026–5042. https://doi.org/10.1080/01431161.2012.657366.
  • Tao, J. B., W. B. Wu, Y. Zhou, Y. Wang, and Y. Jiang. 2017. “Mapping Winter Wheat Using Phenological Feature of Peak Before Winter on the North China Plain Based on Time-Series MODIS Data.” Journal of Integrative Agriculture 16 (2): 348–359. Chinese Academy of Agricultural Sciences. https://doi.org/10.1016/S2095-3119(15)61304-1.
  • Tengfei, S. 2017. “Efficient Paddy Field Mapping Using Landsat-8 Imagery and Object-Based Image Analysis Based on Advanced Fractel Net Evolution Approach.” GIScience & Remote Sensing 54 (3): 354–380. Taylor & Francis. https://doi.org/10.1080/15481603.2016.1273438.
  • Tianle, H., C. Xie, Q. Liu, S. Guan, and G. Liu. 2019. “Evaluation and Comparison of Random Forest and A-LSTM Networks for Large-Scale Winter Wheat Identification.” Remote Sensing 11 (14): 1665. https://doi.org/10.3390/rs11141665.
  • Tian, H., J. Pei, J. Huang, L. Xuecao, J. Wang, B. Zhou, Y. Qin, and L. Wang. 2020. “Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China.” Remote Sensing 12 (21): 1–17. https://doi.org/10.3390/rs12213539.
  • Wang, Y., S. Fang, L. Zhao, X. Huang, and X. Jiang. 2022. “Parcel-Based Summer Maize Mapping and Phenology Estimation Combined Using Sentinel-2 and Time Series Sentinel-1 Data.” International Journal of Applied Earth Observation and Geoinformation 108. November 2021 Elsevier B.V. https://doi.org/10.1016/j.jag.2022.102720.
  • Wang, N., Y. Zhai, and L. Zhang. 2021. “Automatic Cotton Mapping Using Time Series of Sentinel-2 Images.” Remote Sensing 13 (7). https://doi.org/10.3390/rs13071355.
  • Xiangyang, X., X. Shengzhou, L. Jin, and E. Song. 2011. “Characteristic Analysis of Otsu Threshold and Its Applications.” Pattern Recognition Letters 32 (7): 956–961. https://doi.org/10.1016/j.patrec.2011.01.021.
  • Xie, Y. 2022. “Combining CERES-Wheat Model, Sentinel-2 Data, and Deep Learning Method for Winter Wheat Yield Estimation.” International Journal of Remote Sensing 43 (2): 630–648. Taylor & Francis. https://doi.org/10.1080/01431161.2022.2026521.
  • Xie, Y., and J. Huang. 2021. “Integration of a Crop Growth Model and Deep Learning Methods to Improve Satellite-Based Yield Estimation of Winter Wheat in Henan Province, China.” Remote Sensing 13 (21): 4372. https://doi.org/10.3390/rs13214372.
  • Xun, L., J. Zhang, D. Cao, S. Yang, and F. Yao. 2021. “A Novel Cotton Mapping Index Combining Sentinel-1 SAR and Sentinel-2 Multispectral Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 181 (September): 148–166. Elsevier B.V. https://doi.org/10.1016/j.isprsjprs.2021.08.021
  • Yang, Y., B. Tao, W. Ren, D. P. Zourarakis, B. El Masri, Z. Sun, and Q. Tian. 2019. “An Improved Approach Considering Intraclass Variability for Mapping Winter Wheat Using Multitemporal MODIS EVI Images.” Remote Sensing 11 (10). https://doi.org/10.3390/rs11101191.
  • Yang, G., Y. Weiguo, X. Yao, H. Zheng, Q. Cao, Y. Zhu, W. Cao, and T. Cheng. 2021. “AGTOC: A Novel Approach to Winter Wheat Mapping by Automatic Generation of Training Samples and One-Class Classification on Google Earth Engine.” International Journal of Applied Earth Observation and Geoinformation 102 (July): 102446. Elsevier B.V. https://doi.org/10.1016/j.jag.2021.102446.
  • Yin, D., X. Cao, X. Chen, Y. Shao, and J. Chen. 2013. “Comparison of Automatic Thresholding Methods for Snow-Cover Mapping Using Landsat TM Imagery.” International Journal of Remote Sensing 34 (19): 6529–6538. https://doi.org/10.1080/01431161.2013.803631.
  • You, N., and J. Dong. 2020. “Examining Earliest Identifiable Timing of Crops Using All Available Sentinel 1/2 Imagery and Google Earth Engine.” Isprs Journal of Photogrammetry & Remote Sensing. December 2019 Elsevier161:109–123. https://doi.org/10.1016/j.isprsjprs.2020.01.001.
  • Zhang, H., H. Du, C. Zhang, and L. Zhang. 2021. “An Automated Early-Season Method to Map Winter Wheat Using Time-Series Sentinel-2 Data: A Case Study of Shandong, China.” Computers and Electronics in Agriculture 182. December 2020 Elsevier B.V. https://doi.org/10.1016/j.compag.2020.105962.
  • Zhang, M., H. Lin, G. Wang, H. Sun, and F. Jing. 2018. “Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China.” Remote Sensing 10 (11): 1840. https://doi.org/10.3390/rs10111840.
  • Zhang, H. K., and D. P. Roy. 2017. “Using the 500 M MODIS Land Cover Product to Derive a Consistent Continental Scale 30 M Landsat Land Cover Classification.” Remote Sensing of Environment 197:15–34. The Authors. https://doi.org/10.1016/j.rse.2017.05.024.
  • Zhong, L., H. Lina, H. Zhou, and X. Tao. 2019. “Deep Learning Based Winter Wheat Mapping Using Statistical Data as Ground References in Kansas and Northern Texas, US.” Remote Sensing of Environment 233 (September): 111411. Elsevier. https://doi.org/10.1016/j.rse.2019.111411.