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
N1 - Publisher Copyright:
© 2016 IEEE.
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 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -
