Automatic canola mapping using time series of sentinel 2 images

被引:76
作者
Ashourloo, Davoud [1 ]
Shahrabi, Hamid Salehi [2 ]
Azadbakht, Mohsen [1 ]
Aghighi, Hossein [1 ]
Nematollahi, Hamed [2 ]
Alimohammadi, Abbas [3 ]
Matkan, Ali Akbar [1 ]
机构
[1] Shahid Beheshti Univ, Remote Sensing & GIS Res Ctr, Fac Earth Sci, Tehran 653641255, Iran
[2] Iranian Space Res Ctr, Appl Remote Sensing Dept, Tehran, Iran
[3] KN Toosi Univ Technol, Fac Geodesy & Geomat Engn, GIS Engn Dept, Tehran 1996715433, Iran
关键词
Precision agriculture; Canola; Flowering date; Automatic crop mapping; Spectral index; Sentinel-2; time-series; CROP CLASSIFICATION; VEGETATION INDEXES; SATELLITE IMAGERY; SURFACE MOISTURE; LANDSAT IMAGES; GREEN LAI; SEASON; PHENOLOGY; MODIS; YIELDS;
D O I
10.1016/j.isprsjprs.2019.08.007
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Different techniques utilized for mapping various crops are mainly based on using training dataset. But, due to difficulties of access to a well-represented training data, development of automatic methods for detection of crops is an important need which has not been considered as it deserves. Therefore, main objective of present study was to propose a new automatic method for canola (Brassica napus L.) mapping based on Sentinel 2 satellite time series data. Time series data of three study sites in Iran (Moghan, Gorgan, Qazvin) and one site in USA: (Oklahoma), were used. Then, spectral reflectance values of canola in various spectral bands were compared with those of the other crops during the growing season. NDVI, Red and Green spectral bands were successfully applied for automatic identification of canola flowering date using the threshold values. Examination of the fisher function indicated that multiplication of the near-infrared (NIR) band by the sum of red and green bands during the flowering date is an efficient index to differentiate canola from the other crops. The Kappa and overall accuracy (OA) for the four study sites were more than 0.75 and 88%, respectively. Results of this research demonstrated the potential of the proposed approach for canola mapping using time series of remotely sensed data.
引用
收藏
页码:63 / 76
页数:14
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