Classification of multitemporal Sentinel-2 data for field-level monitoring of rice cropping practices in Taiwan
作者: Nguyen-Thanh SonChi-Farn ChenCheng-Ru ChenHorng-Yuh Guo
作者单位: 1Center for Space and Remote Sensing Research, National Central University, Taiwan
2Hong-Yuh Guo, Taiwan Agricultural Research Institute, Taiwan
刊名: Advances in Space Research, 2020, Vol.65 (8), pp.1910-1921
来源数据库: Elsevier Journal
DOI: 10.1016/j.asr.2020.01.028
关键词: Sentinel-2 dataCrop phenologyRice cropping practicesTaiwan
英文摘要: Abstract(#br)Cadastral information of rice fields is important for monitoring cropping practices in Taiwan due to official initiatives. Remote sensing based rice monitoring has been a challenge for years because the size of rice fields is small, and crop mapping requires information of crop phenology, relating to spatiotemporal resolution of satellite data. This study aims to develop an approach for mapping rice-growing areas at field level using multi-temporal Sentinel-2 data in Taiwan. The data were processed for 2018, following four main steps: (1) construct time-series Enhanced Vegetation Index (EVI) and Land Surface Water Index (LSWI), (2) noise filtering of the time-series data using wavelet transform, (3) rice crop classification using information of crop phenology, and (4)...
全文获取路径: Elsevier  (合作)
影响因子:1.183 (2012)

  • cropping 剪毛
  • phenology 生物气候学
  • monitoring 监视
  • level 水准
  • field