Winter wheat extraction using curvilinear integral of GF-1 NDVI time series

Yanjun Yang; Yulin Zhan; Qingjiu Tian; Lei Wang; Peiyan Wang; Wenmin Zhang

doi:10.1109/IGARSS.2016.7729821

Winter wheat extraction using curvilinear integral of GF-1 NDVI time series

Yanjun Yang
, Yulin Zhan^*
, Qingjiu Tian
, Lei Wang
, Peiyan Wang
, Wenmin Zhang

^*Corresponding author for this work

Nanjing University
Chinese Academy of Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

As one of the major crops in China, the winter wheat production is directly related to the national economic development, the social stabilization and the food security. Normalized difference vegetation index (NDVI) time series has been widely used in crop identification, while most of the present researches about NDVI time series focused on moderate or low resolution remote sensing images, which affecting the accuracy of winter wheat extraction. With the successful launch of the first satellite GF-1 of China High-resolution Earth Observation System, more possibilities have been provided for construction of NDVI time series with high time resolution and high spatial resolution. Considering the peculiarity of winter wheat, which curvilinear integral of the NDVI time series different from other crops, this can be used for identification of winter wheat. So the paper present a high precision winter wheat identification method, Curvilinear integral method, which makes full use of phenology characteristics of winter wheat based on curvilinear integral of NDVI time series. This method is technologically easy and apparently effective.

Original language	English
Title of host publication	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3174-3177
Number of pages	4
ISBN (Electronic)	9781509033324
DOIs	https://doi.org/10.1109/IGARSS.2016.7729821
State	Published - 1 Nov 2016
Externally published	Yes
Event	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China Duration: 10 Jul 2016 → 15 Jul 2016

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2016-November
ISSN (Electronic)	2153-7003

Conference

Conference	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Country/Territory	China
City	Beijing
Period	10/07/16 → 15/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 8 Decent Work and Economic Growth

Keywords

Curvilinear integral
Extraction
GF-1/WFV
NDVI time series
Winter wheat

Access to Document

10.1109/IGARSS.2016.7729821

Cite this

Yang, Y., Zhan, Y., Tian, Q., Wang, L., Wang, P., & Zhang, W. (2016). Winter wheat extraction using curvilinear integral of GF-1 NDVI time series. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings (pp. 3174-3177). Article 7729821 (International Geoscience and Remote Sensing Symposium (IGARSS) ; Vol. 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2016.7729821

@inproceedings{4097ec80423b4d5abab2a291fb574da6,

title = "Winter wheat extraction using curvilinear integral of GF-1 NDVI time series",

abstract = "As one of the major crops in China, the winter wheat production is directly related to the national economic development, the social stabilization and the food security. Normalized difference vegetation index (NDVI) time series has been widely used in crop identification, while most of the present researches about NDVI time series focused on moderate or low resolution remote sensing images, which affecting the accuracy of winter wheat extraction. With the successful launch of the first satellite GF-1 of China High-resolution Earth Observation System, more possibilities have been provided for construction of NDVI time series with high time resolution and high spatial resolution. Considering the peculiarity of winter wheat, which curvilinear integral of the NDVI time series different from other crops, this can be used for identification of winter wheat. So the paper present a high precision winter wheat identification method, Curvilinear integral method, which makes full use of phenology characteristics of winter wheat based on curvilinear integral of NDVI time series. This method is technologically easy and apparently effective.",

keywords = "Curvilinear integral, Extraction, GF-1/WFV, NDVI time series, Winter wheat",

author = "Yanjun Yang and Yulin Zhan and Qingjiu Tian and Lei Wang and Peiyan Wang and Wenmin Zhang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",

year = "2016",

month = nov,

day = "1",

doi = "10.1109/IGARSS.2016.7729821",

language = "英语",

series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3174--3177",

booktitle = "2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings",

address = "美国",

}

Yang, Y, Zhan, Y, Tian, Q, Wang, L, Wang, P & Zhang, W 2016, Winter wheat extraction using curvilinear integral of GF-1 NDVI time series. in 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings., 7729821, International Geoscience and Remote Sensing Symposium (IGARSS) , vol. 2016-November, Institute of Electrical and Electronics Engineers Inc., pp. 3174-3177, 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7729821

Winter wheat extraction using curvilinear integral of GF-1 NDVI time series. / Yang, Yanjun; Zhan, Yulin; Tian, Qingjiu et al.
2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3174-3177 7729821 (International Geoscience and Remote Sensing Symposium (IGARSS) ; Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Winter wheat extraction using curvilinear integral of GF-1 NDVI time series

AU - Yang, Yanjun

AU - Zhan, Yulin

AU - Tian, Qingjiu

AU - Wang, Lei

AU - Wang, Peiyan

AU - Zhang, Wenmin

PY - 2016/11/1

Y1 - 2016/11/1

N2 - As one of the major crops in China, the winter wheat production is directly related to the national economic development, the social stabilization and the food security. Normalized difference vegetation index (NDVI) time series has been widely used in crop identification, while most of the present researches about NDVI time series focused on moderate or low resolution remote sensing images, which affecting the accuracy of winter wheat extraction. With the successful launch of the first satellite GF-1 of China High-resolution Earth Observation System, more possibilities have been provided for construction of NDVI time series with high time resolution and high spatial resolution. Considering the peculiarity of winter wheat, which curvilinear integral of the NDVI time series different from other crops, this can be used for identification of winter wheat. So the paper present a high precision winter wheat identification method, Curvilinear integral method, which makes full use of phenology characteristics of winter wheat based on curvilinear integral of NDVI time series. This method is technologically easy and apparently effective.

AB - As one of the major crops in China, the winter wheat production is directly related to the national economic development, the social stabilization and the food security. Normalized difference vegetation index (NDVI) time series has been widely used in crop identification, while most of the present researches about NDVI time series focused on moderate or low resolution remote sensing images, which affecting the accuracy of winter wheat extraction. With the successful launch of the first satellite GF-1 of China High-resolution Earth Observation System, more possibilities have been provided for construction of NDVI time series with high time resolution and high spatial resolution. Considering the peculiarity of winter wheat, which curvilinear integral of the NDVI time series different from other crops, this can be used for identification of winter wheat. So the paper present a high precision winter wheat identification method, Curvilinear integral method, which makes full use of phenology characteristics of winter wheat based on curvilinear integral of NDVI time series. This method is technologically easy and apparently effective.

KW - Curvilinear integral

KW - Extraction

KW - GF-1/WFV

KW - NDVI time series

KW - Winter wheat

UR - https://www.scopus.com/pages/publications/85007451802

U2 - 10.1109/IGARSS.2016.7729821

DO - 10.1109/IGARSS.2016.7729821

M3 - 会议稿件

AN - SCOPUS:85007451802

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 3174

EP - 3177

BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016

Y2 - 10 July 2016 through 15 July 2016

ER -

Yang Y, Zhan Y, Tian Q, Wang L, Wang P, Zhang W. Winter wheat extraction using curvilinear integral of GF-1 NDVI time series. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 3174-3177. 7729821. (International Geoscience and Remote Sensing Symposium (IGARSS) ). doi: 10.1109/IGARSS.2016.7729821

Winter wheat extraction using curvilinear integral of GF-1 NDVI time series

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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