[1]Geng Liying,Ma Mingguo.Advance in Method Comparison of Re-constructing Remote Sensing Time Series Data Sets[J].Remote Sensing Technology and Application,2014,29(2):362-368.[耿丽英,马明国.长时间序列NDVI数据重建方法比较研究进展[J],遥感技术与应用,2014,29(2):362-368.][2]Guo Wenjing,Li Ainong,Zhao Zhiqiang,et al.Constructing the Time-series NDVI Dataset with a High Spatial and Temporal Resolution through Fusing AVHRR with TM Data[J].Remote Sensing Technology and Application,2015,30(2):267-276.[郭文静,李爱农,赵志强,等.基于AVHRR和TM数据的时间序列较高分辨率NDVI数据集重构方法[J].遥感技术与应用,2015,30(2):267-276.][3]Song Chunqiao,Ke Linghong,You Songcai,et al.Comparison of Three NDVI Time-series Fitting Methods based on TIMESAT——Taking the Grassland in Northern Tibet as Case[J].Remote Sensing Technology and Application,2011,26(2):147-155.[宋春桥,柯灵红,游松财,等.基于TIMESAT的3种时序NDVI拟合方法比较研究—以藏北草地为例[J].遥感技术与应用,2011,26(2):147-155.][4]Liu Han,Feng Li,Zhu Liujun,et al.Performance of Filter for City Region HJ-1 A/B NDVI Time-series Analysis[J].Remote Sensing Information,2015,30(5):69-76.[刘寒,冯莉,朱榴骏,等.环境星归一化植被指数时间序列滤波算法比较[J].遥感信息,2015,30(5):69-76.][5]Xie Dengfeng,Zhang Jinshui,Pan Yaozhong et al.Fusion of MODIS and Landsat 8 Remote Sensing Images to Generate High-spatial-temporal Resolution Data for Mapping Autumn Crop Distribution[J].Journal of Remote Sensing,2015,19(5):791-805.[谢登峰,张锦水,潘耀忠,等.Landsat 8和MODIS融合构建高时空分辨率数据识别秋粮作物[J].遥感学报,2015,19(5):791-805.][6]Jia Mingming,Ren Chunying,Liu Dianwei,et al.Object-oriented Forest Classification based on Combination of HJ-1 CCD and MODIS-NDVI Data[J].Acta Ecologica Sinica,2014,34(24):7167-7174.[贾明明,任春颖,刘殿伟,等.基于环境星与MODIS时序数据的面向对象森林植被分类[J].生态学报,2014,34(24):7167-7174.][7]Zhang Huanxue,Cao Xin,Li Qiangzi,et al.Research Oncrop Identification Using Multi-temporal NDVI HJ Images[J].Remote Sensing Technology and Application,2015,30(2):304-311.[张焕雪,曹新,李强子,等.基于多时相环境星NDVI时间序列的农作物分类研究[J].遥感技术与应用,2015,30(2):304-311.][8]Yuan Lihua,Jiang Weiguo,Shen Wenmin,et al.The Spatio-temporal Variations of Vegetation Cover in the Yellow River Basin from 2000 to 2010[J].Acta Ecologica Sinica,2013,33(24):7798-7806.[袁丽华,蒋卫国,申文明,等.2000~2010年黄河流域植被覆盖的时空变化[J].生态学报,2013,33(24):7798-7806.][9]Toshihiro S,Masayuki Y,Hitoshi T,et al.A Crop Phenology Detection Method Using Time-series MODIS Data[J].Remote Sensing of Environment,2005,96:366-374.[10]Bethany A B,Robert W J,John F H,et al.A Curve Fitting Procedure to Derive Inter-annual Phenologies from Time Series of Noisy Satellite NDVI Data[J].Remote Sensing of Environment,2007,106(2):137-145.[11]Verbesselt J,Hyndman R,Zeileis A,et al.Phenological Change Detection While Accounting for Abrupt and Gradual Trends in Satellite Image Time Series[J].Remote Sensing of Environment,2010,114(12):2970-2980.[12]Verbesselt J,Zeileis A,Herold M.Near Real-time Disturbance Detection Using Satellite Image Time Series[J].Remote Sensing of Environment,2012,123(123):98-108.[13]Xin Jingfeng,Yu Zhenrong,Driessen P M.Monitoring Phenological Key Stages of Winter Wheat with NOAA NDVI Data[J].Journal of Remote Sensing,2001,5(6):442-447.[辛景峰,宇振荣,Driessen P M.利用NOAA NDVI数据集监测冬小麦生育期的研究[J].遥感学报,2001,5(6):442-447.][14]Zhang Xia,Li Ru,Yue Yuemin,et al.Improved Algorithm for Reconstructing Vegetation Index Image Time Series based on Fourier Harmonic Analysis[J].Journal of Remote Sensing,2010,14(3):437-447.[张霞,李儒,岳跃民,等.谐波改进的植被指数时间序列重建算法[J].遥感学报,2010,14(3):437-447.][15]Wang Yecheng.The Abnormal Segments Reconstruction and Phenology Detection of the HJ Satellite Normalized Difference Vegetation Index Time-series[D].Nanjing:Nanjing University,2014.[汪业成.HJ卫星归一化植被指数时间序列的异常区段校正与物候期识别[D].南京:南京大学,2014.][16]Jonsson P,Eklundh L.Seasonality Extraction by Function Fitting to Time-series of Satellite Sensor Data[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(8):1824-1832.[17]Xie Xiangjian,Xue Zhaohui,Wang Dongchen,et al.Land Cover Classification in Karst Regions based on Phenological Features Derived from a Long-term Remote Sensing Image Series[J].Journal of Remote Sensing,2015,19(4):627-638.[谢相建,薛朝辉,王冬辰,等.顾及物候特征的喀斯特断陷盆地土地覆盖遥感分类[J].遥感学报,2015,19(4):627-638.][18]Xue Z H,Du P J,Feng L.Phenology-driven Land Cover Classification and Trend Analysis based on Long-term Remote Sensing Image Series[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(4):1142-1156.[19]Hmimina G,Dufrêne E,Pontailler J Y,et al.Evaluation of the Potential of MODIS Satellite Data to Predict Vegetation Phenology in Different Biomes:An Investigation Using Ground-based NDVI Measurements[J].Remote Sensing of Environment,2013,132(6):145-158. |