Phenological change detection while accounting for abrupt and gradual trends in satellite image time series

[1]  Eric P. Crist,et al.  A Physically-Based Transformation of Thematic Mapper Data---The TM Tasseled Cap , 1984, IEEE Transactions on Geoscience and Remote Sensing.

[2]  John F. Mustard,et al.  A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data , 2007 .

[3]  John O. Carter,et al.  Using spatial interpolation to construct a comprehensive archive of Australian climate data , 2001, Environ. Model. Softw..

[4]  C. Samimi,et al.  Assessing spatio‐temporal variations in plant phenology using Fourier analysis on NDVI time series: results from a dry savannah environment in Namibia , 2006 .

[5]  Hans W. Linderholm,et al.  Growing season changes in the last century , 2006 .

[6]  Manfred Ehlers,et al.  Photogrammetric Engineering and Remote Sensing , 2007 .

[7]  B. Rock,et al.  Detection of changes in leaf water content using Near- and Middle-Infrared reflectances , 1989 .

[8]  Alan H. Strahler,et al.  Change-vector analysis in multitemporal space: a tool to detect and categorize land-cover change pro , 1994 .

[9]  José A. Sobrino,et al.  Comparison of cloud-reconstruction methods for time series of composite NDVI data , 2010 .

[10]  A. Timmermann,et al.  Market timing and return prediction under model instability , 2002 .

[11]  Ramakrishna R. Nemani,et al.  Canopy duration has little influence on annual carbon storage in the deciduous broad leaf forest , 2003 .

[12]  A. Belward,et al.  The Best Index Slope Extraction ( BISE): A method for reducing noise in NDVI time-series , 1992 .

[13]  R. Fensholt,et al.  Evaluation of earth observation based long term vegetation trends - Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data , 2009 .

[14]  G. Yohe,et al.  A globally coherent fingerprint of climate change impacts across natural systems , 2003, Nature.

[15]  Elia A. Machado,et al.  Seasonal trend analysis of image time series , 2009 .

[16]  Patrick Bogaert,et al.  An object-based change detection method accounting for temporal dependences in time series with medium to coarse spatial resolution , 2008 .

[17]  Massimo Menenti,et al.  Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data , 2000 .

[18]  Kurt Hornik,et al.  Testing and dating of structural changes in practice , 2003, Comput. Stat. Data Anal..

[19]  Jan Verbesselt,et al.  Evaluating satellite and climate data-derived indices as fire risk indicators in savanna ecosystems , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Geoffrey M. Henebry,et al.  Land surface phenology and temperature variation in the International Geosphere–Biosphere Program high‐latitude transects , 2005 .

[21]  Steven C. Wheelwright,et al.  Forecasting: Methods and Applications, 3rd Edition , 1998 .

[22]  José A. Sobrino,et al.  Global land surface phenology trends from GIMMS database , 2009 .

[23]  Rob J Hyndman,et al.  Detecting trend and seasonal changes in satellite image time series , 2010 .

[24]  W. Verhoef,et al.  Reconstructing cloudfree NDVI composites using Fourier analysis of time series , 2000 .

[25]  John F. Mustard,et al.  Comparison of phenology trends by land cover class: a case study in the Great Basin, USA , 2007 .

[26]  P. Perron,et al.  Computation and Analysis of Multiple Structural-Change Models , 1998 .

[27]  Walter Krämer,et al.  Review of Modern applied statistics with S, 4th ed. by W.N. Venables and B.D. Ripley. Springer-Verlag 2002 , 2003 .

[28]  A. Anyamba,et al.  Interannual variability of NDVI over Africa and its relation to El Niño/Southern Oscillation , 1996 .

[29]  D. Legates,et al.  Crop identification using harmonic analysis of time-series AVHRR NDVI data , 2002 .

[30]  Geoffrey M. Henebry,et al.  Dual scale trend analysis for evaluating climatic and anthropogenic effects on the vegetated land surface in Russia and Kazakhstan , 2009 .

[31]  A. Strahler,et al.  Monitoring vegetation phenology using MODIS , 2003 .

[32]  Geoffrey M. Henebry,et al.  Trend analysis of the Pathfinder AVHRR Land (PAL) NDVI data for the deserts of central Asia , 2004, IEEE Geoscience and Remote Sensing Letters.

[33]  C. H. R I S T O P H E R P O T T E R,et al.  Major Disturbance Events in Terrestrial Ecosystems Detected Using Global Satellite Data Sets , 2003 .

[34]  M. Schaepman,et al.  Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006 , 2009 .

[35]  de Beurs,et al.  A statistical framework for the analysis of long image time series , 2005 .

[36]  Philip A. Townsend,et al.  Estimating the effect of gypsy moth defoliation using MODIS , 2008 .

[37]  Roland Geerken,et al.  An algorithm to classify and monitor seasonal variations in vegetation phenologies and their inter-annual change , 2009 .

[38]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[39]  C. Justice,et al.  Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations , 1988 .

[40]  N. F. M U S T A,et al.  Comparison of phenology trends by land cover class : a case study in the Great Basin , USA , 2007 .

[41]  Brian D. Ripley,et al.  Modern applied statistics with S, 4th Edition , 2002, Statistics and computing.

[42]  M. D. Schwartz.  Advancing to full bloom: planning phenological research for the 21st century , 1999 .

[43]  Achim Zeileis,et al.  Validating multiple structural change models : A case study , 2005 .

[44]  Mark D. Schwartz,et al.  Assessing satellite‐derived start‐of‐season measures in the conterminous USA , 2002 .

[45]  Steven C. Wheelwright,et al.  Forecasting methods and applications. , 1979 .

[46]  B. Holben.  Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .

[47]  A. Zeileis.  A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals , 2005 .

[48]  William N. Venables,et al.  Modern Applied Statistics with S , 2010 .

[49]  Ramakrishna R. Nemani,et al.  Real-time monitoring and short-term forecasting of land surface phenology , 2006 .

[50]  Roger Y. Anderson,et al.  Harmonic analysis of varve time series , 1963 .

[51]  H. Mooney,et al.  Shifting plant phenology in response to global change. , 2007, Trends in ecology & evolution.

[52]  Pol Coppin,et al.  Review ArticleDigital change detection methods in ecosystem monitoring: a review , 2004 .

[53]  S. Running,et al.  A continental phenology model for monitoring vegetation responses to interannual climatic variability , 1997 .

[54]  Achim Zeileis,et al.  Strucchange: An R package for testing for structural change in linear regression models , 2002 .

[55]  Bradley C. Reed,et al.  Remote Sensing Phenology , 2009 .