刘警鉴.基于SAR影像数据提取水稻面积的方法研究[D].南宁师范大学,2019(01).

何泽,李世华.水稻雷达遥感监测研究进展[J].遥感学报,2023(10).

严如玉,甘国渝,赵希梅,殷大聪,李燕丽,金慧芳,朱海,李继福.我国水稻优势产区生产格局及施肥现状研究[J].中国稻米,2023(03).

王小慧,姜雨林,刘洋,卢捷,尹小刚,史磊刚,黄晶,褚庆全,陈阜.基于县域单元的我国水稻生产时空动态变化[J].作物学报,2018(11).

许青云,杨贵军,龙慧灵,王崇倡,李鑫川,黄登成.基于MODISNDVI多年时序数据的农作物种植识别[J].农业工程学报,2014(11).

Liu Ruoqi,Zhang Geli,Dong Jinwei,Zhou Yan,You Nanshan,He Yingli,Xiao Xiangming.Evaluating Effects of Medium-Resolution Optical Data Availability on Phenology-Based Rice Mapping in China[J].Remote Sensing,2022.

Han Jichong,Zhang Zhao,Luo Yuchuan,Cao Juan,Zhang Liangliang,Zhuang Huimin,Cheng Fei,Zhang Jing,Tao Fulu.Annual paddy rice planting area and cropping intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020[J].Agricultural Systems,2022.

Tian Jiaqi,Zhu Xiaolin,Chen Jin,Wang Cong,Shen Miaogen,Yang Wei,Tan Xiaoyue,Xu Shuai,Li Zhilin.Improving the accuracy of spring phenology detection by optimally smoothing satellite vegetation index time series based on local cloud frequency[J].ISPRS Journal of Photogrammetry and Remote Sensing,2021.

Zhang Rui,Tang Zhanzhong,Luo Dong,Luo Hongxia,You Shucheng,Zhang Tao.Combined Multi-Time Series SAR Imagery and InSAR Technology for Rice Identification in Cloudy Regions[J].Applied Sciences,2021.

Jiang Rui,SanchezAzofeifa Arturo,Laakso Kati,Xu Yan,Zhou Zhiyan,Luo Xiwen,Huang Junhao,Chen Xin,Zang Yu.Cloud Cover throughout All the Paddy Rice Fields in Guangdong, China: Impacts on Sentinel 2 MSI and Landsat 8 OLI Optical Observations[J].Remote Sensing,2021.

Yang Huijin,Pan Bin,Li Ning,Wang Wei,Zhang Jian,Zhang Xianlong.A systematic method for spatio-temporal phenology estimation of paddy rice using time series Sentinel-1 images[J].Remote Sensing of Environment,2021.

Xiao Wu,Xu Suchen,He Tingting.Mapping Paddy Rice with Sentinel-1/2 and Phenology-, Object-Based Algorithm—A Implementation in Hangjiahu Plain in China Using GEE Platform[J].Remote Sensing,2021.

Zhao Rongkun,Li Yuechen,Ma Mingguo.Mapping Paddy Rice with Satellite Remote Sensing: A Review[J].Sustainability,2021.

Son Nguyen Thanh,Chen Chi Farn,Chen Cheng Ru,Toscano Piero,Cheng Youg Sing,Guo Hong Yuh,Syu Chien Hui.A phenological object-based approach for rice crop classification using time-series Sentinel-1 Synthetic Aperture Radar (SAR) data in Taiwan[J].International Journal of Remote Sensing,2021(7).

Hugo Crisóstomo de Castro Filho,Osmar Abílio de Carvalho Júnior,Osmar Luiz Ferreira de Carvalho,Pablo Pozzobon de Bem,Rebeca dos Santos de Moura,Anesmar Olino de Albuquerque,Cristiano Rosa Silva,Pedro Henrique Guimarães Ferreira,Renato Fontes Guimarães,Roberto Arnaldo Trancoso Gomes.Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series[J].Remote Sensing,2020.

Liu Li,Huang Jingfeng,Xiong Qinxue,Zhang Huijuan,Song Peiling,Huang Yanhong,Dou Yujie,Wang Xiuzhen.Optimal MODIS data processing for accurate multi-year paddy rice area mapping in China[J].GIScience & Remote Sensing,2020.

L. Karthikeyan,Ila Chawla,Ashok K. Mishra.A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses[J].Journal of Hydrology,2020.

aff > .Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea[J].IEEE Transactions on Geoscience and Remote Sensing,2020.

Hassan Bazzi,Nicolas Baghdadi,Mohammad El-Hajj,Mehrez Zribi,Dinh Ho Tong Minh,Emile Ndikumana,Dominique Courault,Hatem Belhouchette.Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France.[J].Remote Sensing,2019.

Otsu Nobuyuki.A Threshold Selection Method from Gray-Level Histograms[J].IEEE Transactions on Systems, Man, and Cybernetics,1979(1).