Wheat height and phenology retrieval using GPS/BDS interferometric reflectometry technology

被引:0
作者
Chen, Kun [1 ]
Ye, Shirong [1 ]
Shen, Fei [2 ,3 ,4 ]
Cao, Xinyun [2 ,5 ]
Ge, Yulong [6 ]
机构
[1] Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
[2] Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China
[3] Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China
[4] Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
[5] Swiss Fed Inst Technol, Inst Geodesy & Photogrammetry, CH-8093 Zurich, Switzerland
[6] Nanjing Normal Univ, Sch Marine Sci & Engn, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Global Navigation Satellite System; interferometric reflectometry; Signal to noise ratio; Wheat height; Wheat phenology metric dates; Vegetation index; TIME-SERIES; SOIL-MOISTURE; VEGETATION PHENOLOGY; GPS MULTIPATH;
D O I
10.1016/j.measurement.2024.114737
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Monitoring vegetation growth utilizing the Global Navigation Satellite System-interferometric reflectometry (GNSS-IR) technology has obtained widespread attention in recent years. GNSS-IR based approaches demonstrate the advantageous characteristics of high temporal resolution while maintaining cost-effectiveness. Most existing studies generally utilize reflected signals to retrieve the plant height and vegetation water content, while few studies focus on vegetation phenology and yield. In this study, both phenology metric dates and plant height of wheat were extracted using reflected signals data from GPS and BeiDou Navigation Satellite System (BDS) in a wheat farmland, located at northeast of Henan, China. The results showed that there was reasonable consistency between the retrieval heights and in-situ measurements, with the correlation coefficient of 0.836 for GPS and 0.868 for BDS. The damping coefficient calculated by signal-to-noise ratio (SNR) presented obvious characteristics during different wheat growth stages and the trends of the damping coefficient were basically consistent with that of the normalized difference vegetation index (NDVI). When taking a lag between the leaf area index (LAI) and the damping coefficient into consideration, the correlation was greatly increased. Moreover, the phenology metrics dates extracted by the damping coefficient were close to those estimated by NDVI with errors less than 8 days. Hence, this research preliminarily proves the feasibility of obtaining the wheat phenological period by using GNSS-IR technology.
引用
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页数:10
相关论文
共 35 条
  • [31] Modeling approaches to assimilating L band passive microwave observations over land surfaces -: art. no. 4219
    Wigneron, JP
    Chanzy, A
    Calvet, JC
    Olioso, A
    Kerr, Y
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2002, 107 (D14) : 11 - 1
  • [32] Evaluation of GNSS-IR for Retrieving Soil Moisture and Vegetation Growth Characteristics in Wheat Farmland
    Zhang, Shuangcheng
    Wang, Tao
    Wang, Lixia
    Zhang, Jingjiang
    Peng, Jilun
    Liu, Qi
    [J]. JOURNAL OF SURVEYING ENGINEERING, 2021, 147 (03)
  • [33] Use of reflected GNSS SNR data to retrieve either soil moisture or vegetation height from a wheat crop
    Zhang, Sibo
    Roussel, Nicolas
    Boniface, Karen
    Ha, Minh Cuong
    Frappart, Frederic
    Darrozes, Jose
    Baup, Frederic
    Calvet, Jean-Christophe
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2017, 21 (09) : 4767 - 4784
  • [34] Monitoring vegetation phenology using MODIS
    Zhang, XY
    Friedl, MA
    Schaaf, CB
    Strahler, AH
    Hodges, JCF
    Gao, F
    Reed, BC
    Huete, A
    [J]. REMOTE SENSING OF ENVIRONMENT, 2003, 84 (03) : 471 - 475
  • [35] Zheng Nanshan, 2019, Geomatics and Information Science of Wuhan University, V44, P1423, DOI 10.13203/j.whugis20180046