Full Text:   <2319>

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CLC number: S511

On-line Access: 2015-10-03

Received: 2015-04-15

Revision Accepted: 2015-09-14

Crosschecked: 2015-09-17

Cited: 6

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Citations:  Bibtex RefMan EndNote GB/T7714


Xiao-dong Song


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Journal of Zhejiang University SCIENCE B 2015 Vol.16 No.10 P.832-844


Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images

Author(s):  Jing Wang, Jing-feng Huang, Xiu-zhen Wang, Meng-ting Jin, Zhen Zhou, Qiao-ying Guo, Zhe-wen Zhao, Wei-jiao Huang, Yao Zhang, Xiao-dong Song

Affiliation(s):  1Institute of Remote Sensing and Information Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China; more

Corresponding email(s):   xdsongy@zju.edu.cn

Key Words:  Phenological parameters, Intercalibration, Vegetation index, HJ-1 CCD, Landsat-8 OLI

Jing Wang, Jing-feng Huang, Xiu-zhen Wang, Meng-ting Jin, Zhen Zhou, Qiao-ying Guo, Zhe-wen Zhao, Wei-jiao Huang, Yao Zhang, Xiao-dong Song. Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images[J]. Journal of Zhejiang University Science B, 2015, 16(10): 832-844.

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author="Jing Wang, Jing-feng Huang, Xiu-zhen Wang, Meng-ting Jin, Zhen Zhou, Qiao-ying Guo, Zhe-wen Zhao, Wei-jiao Huang, Yao Zhang, Xiao-dong Song",
journal="Journal of Zhejiang University Science B",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images
%A Jing Wang
%A Jing-feng Huang
%A Xiu-zhen Wang
%A Meng-ting Jin
%A Zhen Zhou
%A Qiao-ying Guo
%A Zhe-wen Zhao
%A Wei-jiao Huang
%A Yao Zhang
%A Xiao-dong Song
%J Journal of Zhejiang University SCIENCE B
%V 16
%N 10
%P 832-844
%@ 1673-1581
%D 2015
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1500087

T1 - Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images
A1 - Jing Wang
A1 - Jing-feng Huang
A1 - Xiu-zhen Wang
A1 - Meng-ting Jin
A1 - Zhen Zhou
A1 - Qiao-ying Guo
A1 - Zhe-wen Zhao
A1 - Wei-jiao Huang
A1 - Yao Zhang
A1 - Xiao-dong Song
J0 - Journal of Zhejiang University Science B
VL - 16
IS - 10
SP - 832
EP - 844
%@ 1673-1581
Y1 - 2015
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1500087

Accurate estimation of rice phenology is of critical importance for agricultural practices and studies. However, the accuracy of phenological parameters extracted by remote sensing data cannot be guaranteed because of the influence of climate, e.g. the monsoon season, and limited available remote sensing data. In this study, we integrate the data of HJ-1 CCD and Landsat-8 operational land imager (OLI) by using the ordinary least-squares (OLS), and construct higher temporal resolution vegetation indices (VIs) time-series data to extract the phenological parameters of single-cropped rice. Two widely used VIs, namely the normalized difference vegetation index (NDVI) and 2-band enhanced vegetation index (EVI2), were adopted to minimize the influence of environmental factors and the intrinsic difference between the two sensors. Savitzky-Golay (S-G) filters were applied to construct continuous VI profiles per pixel. The results showed that, compared with NDVI, EVI2 was more stable and comparable between the two sensors. Compared with the observed phenological data of the single-cropped rice, the integrated VI time-series had a relatively low root mean square error (RMSE), and EVI2 showed higher accuracy compared with NDVI. We also demonstrate the application of phenology extraction of the single-cropped rice in a spatial scale in the study area. While the work is of general value, it can also be extrapolated to other regions where qualified remote sensing data are the bottleneck but where complementary data are occasionally available.


目的:鉴于中国南方地区单季稻种植区在关键生育期较难获得清晰影像的情况,利用相互校准方法并结合HJ-1 CCD和Landsat-8 OLI传感器,生成时间分辨率更高的植被指数时间序列数据,并比较不同植被指数在提取水稻物候期中的差异。
方法:利用最小二乘法对HJ-1 CCD和Landsat-8 OLI传感器提取的植被指数(EVI2和NDVI)进行相互校准,验证了不同传感器可互补使用;利用一致性分析方法,对比不同植被指数在提取单季稻物候期中的有效性;通过极值法和最大斜率法提取研究区单季稻的移栽期、抽穗期和成熟期;将利用两传感器相结合形成的新植被指数时间序列数据得到的水稻物候期提取结果,与用单一传感器得到结果进行对比,分析水稻物候期提取精度。

关键词:物候提取;相互校准;植被指数;HJ-1 CCD;Landsat-8 OLI

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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