Ashourloo D, Shahrabi H S, Azadbakht M, Aghighi H, Nematollahi H, Alimohammadi A, Matkan A A. 2019. Automatic canola mapping using time series of sentinel 2 images. ISPRS Journal of Photogrammetry and Remote Sensing, 156, 63-76.
Cao J F, Chen L C, Wang M, Tian Y. 2018. Implementing a parallel image edge detection algorithm based on the otsu-canny operator on the hadoop platform. Computational Intelligence & Neuroscience, 3, 1-12.
D’Andrimont R, Taymans M, Lemoine G, Ceglar A, Yordanov M, van der Velde M. 2020. Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and-2 time series. Remote Sensing of Environment, 239, 111660.
Delegido J, Verrelst J, Alonso L, Moreno J. 2011. Evaluation of sentinel-2 red-edge bands for empirical estimation of green LAI and chlorophyll content. Sensors, 11, 7063-7081.
Dong J W, Xiao X M, Menarguez M A, Zhang G L, Qin Y W, Thau D, Biradar C, Moore III B. 2016. Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine. Remote Sensing of Environment, 185, 142-154.
Gitelson A A, Viña A, Arkebauer T J, Rundquist D C, Keydan G, Leavitt B. 2003. Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophysical Research Letters, 30, 1248.
Griffiths P, Nendel C, Hostert P. 2019. Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping. Remote Sensing of Environment, 220, 135-151.
Han J C, Zhang Z, Cao J. 2020. Developing a new method to identify flowering dynamics of rapeseed using landsat 8 and sentinel-1/2. Remote Sensing, 13, 105.
Han J C, Zhang Z, Luo Y C, Cao J, Zhang L L, Zhang J, Li Z Y. 2021. The RapeseedMap10 database: Annual maps of rapeseed at a spatial resolution of 10 m based on multi-source data. Earth System Science Data, 13, 2857-2874.
Han T, Pan J J, Luo C, Zhou T, Zhang P Y. 2018. Differences between multi-temporal Sentinel-2A and SPOT-7 imagery in rape identification. Journal of Nanjing Agricultural University, 41, 691-700 (in Chinese).
Herbertsson L, Rundlöf M, Smith H G. 2017. The relation between oilseed rape and pollination of later flowering plants varies across plant species and landscape contexts. Basic and Applied Ecology, 24, 77-85.
Jun C, Ban Y F, Li S N. 2014. Open access to Earth land-cover map. Nature, 514, 434-434.
Kang Y H, Özdoğan M, Zipper S C, Román M O, Walker J, Hong S Y, Marshall M, Magliulo V, Moreno J, Alonso L. 2016. How universal is the relationship between remotely sensed vegetation indices and crop leaf area index? A global assessment. Remote Sensing, 8, 597.
Qiu B W, Li W J, Tang Z H, Chen C C, Qi W. 2015. Mapping paddy rice areas based on vegetation phenology and surface moisture conditions. Ecological Indicators, 56, 79-86.
Rouse J, Haas R, Schell J, Deering D. 1974. Monitoring vegetation systems in the Great Plains with ERTS. In: Proceedings of the Third Earth Resources Technology Satellite-1 Symposium. NASA Goddard Space Flight Center 3DERTS-1 Symp. pp. 301-317.
Roy D P, Wulder M A, Loveland T R, Woodcock C E, Allen R G, Anderson M C, Helder D, Irons J R, Johnson D M, Kennedy R. 2014. Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment, 145, 154-172.
Sadri S, Pan M, Wada Y, Vergopolan N, Sheffield J, Famiglietti J S, Kerr Y, Wood E. 2020. A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP. Remote Sensing of Environment, 246, 111864.
Shen M G, Chen J, Zhu X L, Tang Y H, Chen X H. 2010. Do flowers affect biomass estimate accuracy from NDVI and EVI? International Journal of Remote Sensing, 31, 2139-2149.
Somers B, Asner G P. 2012. Hyperspectral time series analysis of native and invasive species in Hawaiian rainforests. Remote Sensing, 4, 2510-2529.
Srinivas C, Prasad M, Sirisha M. 2019. Remote sensing image segmentation using otsu algorithm. International Journal of Computer Applications, 975, 8887.
Sulik J J, Long D S. 2016. Spectral considerations for modeling yield of canola. Remote Sensing of Environment, 184, 161-174.
Tao J B, Liu W B, Tan W X, Kong X B, Xu M. 2019. Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China. Journal of Integrative Agriculture, 18, 2393-2407.
Tao J B, Wu W B, Liu W B, Xu M. 2020. Exploring the spatio-temporal dynamics of winter rape on the middle reaches of yangtze river valley using time-series MODIS data. Sustainability, 12, 466.
Teklemariam D, Azadi H, Nyssen J, Haile M, Witlox F. 2016. How sustainable is transnational farmland acquisition in Ethiopia? Lessons learned from the Benishangul-Gumuz Region. Sustainability, 8, 213.
Tian H F, Huang N, Niu Z, Qin Y C, Pei J, Wang J. 2019a. Mapping winter crops in China with multi-source satellite imagery and phenology-based algorithm. Remote Sensing, 11, 820.
Tian H F, Meng M, Wu M Q, Niu Z. 2019b. Mapping spring canola and spring wheat using Radarsat-2 and Landsat-8 images with Google Earth Engine. Current Science, 116, 291-298.
Veloso A, Mermoz S, Bouvet A, Le Toan T, Planells M, Dejoux J F, Ceschia E. 2017. Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications. Remote Sensing of Environment, 199, 415-426.
Wan L, Li Y J, Cen H Y, Zhu J P, Yin W X, Wu W K, Zhu H Y, Sun D W, Zhou W J, He Y. 2018. Combining UAV-based vegetation indices and image classification to estimate flower number in oilseed rape. Remote Sensing, 10, 1484.
Wang D, Fang S H, Yang Z Z, Wang L, Tang W C, Li Y C, Tong C Y. 2018. A regional mapping method for oilseed rape based on HSV transformation and spectral features. International Journal of Geo-Information, 7, 224.
Wang K, Zhang J. 2015. Extraction of rape seed cropping distribution information in Hubei Province based on MODIS images. Remote Sensing for Land & Resources, 27, 65-70.
Yang N, Liu D, Feng Q, Xiong Q, Zhang L, Ren T, Zhao Y, Zhu D, Huang J. 2019. Large-scale crop mapping based on machine learning and parallel computation with grids. Remote Sensing, 11, 1500.
Yin L, You N, Zhang G, Huang J, Dong J. 2020. Optimizing feature selection of individual crop types for improved crop mapping. Remote Sensing, 12, 162.
Zang Y, Chen X, Chen J, Tian Y, Shi Y, Cao X, Cui X. 2020. Remote sensing index for mapping canola flowers using MODIS data. Remote Sensing, 12, 3912.
Zhang H, Liu W, Zhang L. 2022. Seamless and automated rapeseed mapping for large cloudy regions using time-series optical satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 184, 45-62.
Zhang W, Chen E, Li Z, Zhao L, Ji Y, Zhang Y, Liu Z. 2018. Rape (Brassica napus L.) growth monitoring and mapping based on radarsat-2 time-series data. Remote Sensing, 10, 206.
Zhang Z, Cong R, Tao R, Hui L, Yun Z, Lu J. 2020. Optimizing agronomic practices for closing rapeseed yield gaps under intensive cropping systems in China. Journal of Integrative Agriculture, 19, 1241-1249.
Zhu Z, Woodcock C E. 2012. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment, 118, 83-94.