Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review,        editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Name
E-mail
Phone
Title
Content
Verification Code
Turn off MathJax
Article Contents

ZHANG Yongxin, ZHANG Wangfei, XU Kunpeng, LI Jiangang. Phenological phase identification of oilseed rape (Brassica napus L.) Using typical Stokes parameters[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210394
Citation: ZHANG Yongxin, ZHANG Wangfei, XU Kunpeng, LI Jiangang. Phenological phase identification of oilseed rape (Brassica napus L.) Using typical Stokes parameters[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210394

Phenological phase identification of oilseed rape (Brassica napus L.) Using typical Stokes parameters

doi: 10.13203/j.whugis20210394
Funds:

The National Natural Science Foundation of China (31860240,42161059,32160365).

  • Received Date: 2022-06-27
  • Objectives: The key phenological information of oilseed rapeseed (Brassica napus L.) plays an important role in field management, viewing time prediction and yield estimation of the oilseed rape. It is also an important part of precision agriculture. Polarimetric synthetic aperture radar (PolSAR) technology shows great potential in phenological phase identification with its all-weather monitoring capability and its sensitivity to the crop structural information. Methods: In this study, we identified the 5 phenological phases of the oilseed rape on the test area with 5 time series full-polarization Radarsat-2 data, which covers the whole growth period of the oilseed rape. 6 typical Stokes parameters are extracted and applied in the identification of oilseed rape phenological phases, the extracted Stokes parameter included Averaged Intensity(g0), Normalized average intensity(g0m), Averaged Degree of Polarization(ρm), Perimeter Degree of Zero Orientation Route(PDor),Inclination Degree of Zero Aperture Route(IDap), and Arc Asymmetry Degree of Zero Aperture Route(AADap). The phenological phases of oilseed rape is identified by the decision tree algorithms (DT) based on the comparative analysis of the dynamic response of the 6 special Stokes parameters to rape growth stages. Results: Among the extracted Stokes parameters applied in this study, except ρm and AADap, other parameters showed great sensitivity to the change of the oilseed rape phenological phases. The decision tree algorithm also performed well in the classification of the oilseed rape phenological phases. Conclusions: The classification results agreed well with the field measured samples, and the overall classification accuracy was 87.4%, while the highest classification accuracy of each phenological phase was 94.3%.
  • [1] Lopez-Sanchez J M, Cloude S R, Ballester-Berman J D.Rice Phenology Monitoring by Means of SAR Polarimetry at X-Band[J].IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(7):2695-2709
    [2] Wang H Q, Magagi R, Goïta K, et al.Crop Phenology Retrieval via Polarimetric SAR Decomposition and Random Forest Algorithm[J].Remote Sensing of Environment, 2019, 231:111234
    [3] Canisius F, Shang J L, Liu J G, et al.Tracking Crop Phenological Development Using Multi-Temporal Polarimetric Radarsat-2 Data[J].Remote Sensing of Environment, 2018, 210:508-518
    [4] Chen E X, Li Z Y, Pang Y, et al.Quantitative Evaluation of Polarimetric Classification for Agricultural Crop Mapping[J].Photogrammetric Engineering&Remote Sensing, 2007, 73(3):279-284
    [5] Shang F, Hirose A.Averaged Stokes Vector Based Polarimetric SAR Data Interpretation[J].IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(8):4536-4547
    [6] Muhamed S, Kurien S.Phenophases of Rambutan (Nephelium Lappaceum L.) Based on Extended BBCHScale for Kerala, India[J].Current Plant Biology, 2018, 13:37-44
    [7] Erten E, Rossi C, Yüzügüllü O, et al.Phenological growth stages of paddy rice according to the BBCH scale and SAR images[C]//2014 IEEE Geoscience and Remote Sensing Symposium.Quebec City, QC, Canada.:1017-1020
    [8] Cloude S R, Goodenough D G, Chen H.Compact Decomposition Theory[J].IEEE Geoscience and Remote Sensing Letters, 2012, 9(1):28-32
    [9] Born M, Wolf E, Principles of Optics[M].England:Cambridge Press,2016
    [10] Freeman A, Durden S L.A Three-Component Scattering Model for Polarimetric SAR Data[J].IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(3):963-973
    [11] Gordon A D, Breiman L, Friedman J H, et al.Classification and Regression Trees[J].Biometrics, 1984, 40(3):874
    [12] McNairn H, Jiao X F, Pacheco A, et al.Estimating Canola Phenology Using Synthetic Aperture Radar[J].Remote Sensing of Environment, 2018, 219:196-205
    [13] Hajj M E, Baghdadi N, Belaud G, et al.Irrigated Grassland Monitoring Using a Time Series of TerraSARX and COSMO-SkyMed X-Band SAR Data[J].Remote Sensing, 2014, 6(10):10002-10032
    [14] Yang H, Yang G J, Gaulton R, et al.In-Season Biomass Estimation of Oilseed Rape (Brassica Napus L.) Using Fully Polarimetric SAR Imagery[J].Precision Agriculture, 2019, 20(3):630-648
    [15] Jiao X F, McNairn H, Shang J L, et al.The Sensitivity of RADARSAT-2 Polarimetric SAR Data to Corn and Soybean Leaf Area Index[J].Canadian Journal of Remote Sensing, 2011, 37(1):69-81
    [16] Zhang W F, Li Z Y, Chen E X, et al.Compact Polarimetric Response of Rape (Brassica Napus L.) at CBand:Analysis and Growth Parameters Inversion[J].Remote Sensing, 2017, 9(6):591
    [17] Zhang W F, Zhang Y X, Yang Y, et al.Oilseed Rape (Brassica Napus L.) Phenology Estimation by Averaged Stokes-Related Parameters[J].Remote Sensing, 2021, 13(14):2652
    [18] Yang H, Li Z Y, Chen E X, et al.Temporal Polarimetric Behavior of Oilseed Rape (Brassica Napus L.) at C-Band for Early Season Sowing Date Monitoring[J].Remote Sensing, 2014, 6(11):10375-10394
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(76) PDF downloads(4) Cited by()

Related
Proportional views

Phenological phase identification of oilseed rape (Brassica napus L.) Using typical Stokes parameters

doi: 10.13203/j.whugis20210394
Funds:

The National Natural Science Foundation of China (31860240,42161059,32160365).

Abstract: Objectives: The key phenological information of oilseed rapeseed (Brassica napus L.) plays an important role in field management, viewing time prediction and yield estimation of the oilseed rape. It is also an important part of precision agriculture. Polarimetric synthetic aperture radar (PolSAR) technology shows great potential in phenological phase identification with its all-weather monitoring capability and its sensitivity to the crop structural information. Methods: In this study, we identified the 5 phenological phases of the oilseed rape on the test area with 5 time series full-polarization Radarsat-2 data, which covers the whole growth period of the oilseed rape. 6 typical Stokes parameters are extracted and applied in the identification of oilseed rape phenological phases, the extracted Stokes parameter included Averaged Intensity(g0), Normalized average intensity(g0m), Averaged Degree of Polarization(ρm), Perimeter Degree of Zero Orientation Route(PDor),Inclination Degree of Zero Aperture Route(IDap), and Arc Asymmetry Degree of Zero Aperture Route(AADap). The phenological phases of oilseed rape is identified by the decision tree algorithms (DT) based on the comparative analysis of the dynamic response of the 6 special Stokes parameters to rape growth stages. Results: Among the extracted Stokes parameters applied in this study, except ρm and AADap, other parameters showed great sensitivity to the change of the oilseed rape phenological phases. The decision tree algorithm also performed well in the classification of the oilseed rape phenological phases. Conclusions: The classification results agreed well with the field measured samples, and the overall classification accuracy was 87.4%, while the highest classification accuracy of each phenological phase was 94.3%.

ZHANG Yongxin, ZHANG Wangfei, XU Kunpeng, LI Jiangang. Phenological phase identification of oilseed rape (Brassica napus L.) Using typical Stokes parameters[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210394
Citation: ZHANG Yongxin, ZHANG Wangfei, XU Kunpeng, LI Jiangang. Phenological phase identification of oilseed rape (Brassica napus L.) Using typical Stokes parameters[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210394
Reference (18)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return