695
Views
20
CrossRef citations to date
0
Altmetric
Original Articles

HiTempo: a platform for time-series analysis of remote-sensing satellite data in a high-performance computing environment

, , , , &
Pages 4720-4740 | Published online: 13 Feb 2012

References

  • Archibald , S. and Scholes , R.J. 2007 . Leaf green-up in a semi-arid African savanna – separating tree and grass responses to environmental cues . Journal of Vegetation Science , 18 : 583 – 594 .
  • Bachoo , A. , Van Den Bergh , F. and Gazendam , A.D. A comparison of data file and storage configurations for efficient temporal access of satellite image data . Proceedings of the Proceedings of the Free and Open Source Software for Geospatial applications Conference (FOSS4G) . 29 September–3 October , Cape Town , South Africa . pp. 214 – 222 . Beaverton , OR : OSGeo .
  • Beck , P. , Atzberger , C. , Høgda , K. , Johansen , B. and Skidmore , A. 2006 . Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI . Remote Sensing of Environment , 100 : 321 – 334 .
  • Borak , J.S. , Lambin , E.F. and Strahler , A.H. 2000 . The use of temporal metrics for land cover change detection at coarse spatial scales . International Journal of Remote Sensing , 21 : 1415 – 1432 .
  • Coppin , P. , Jonckheere , I. , Nackaerts , K. , Muys , B. and Lambin , E. 2004 . Digital change detection methods in ecosystem monitoring: a review . International Journal of Remote Sensing , 25 : 1565 – 1596 .
  • de Beurs , K.M. and Henebry , G.M. 2005 . Land surface phenology and temperature variation in the International Geosphere-Biosphere Program high-latitude transects . Global Change Biology , 11 : 779 – 790 .
  • DeFries , R.S. and Chan , J.C.W. 2000 . Multiple criteria for evaluating machine learning algorithms for land cover classification from satellite data . Remote Sensing of Environment , 74 : 503 – 515 .
  • Folk , M. , Cheng , A. and Yates , K. HDF5: a file format and I/O library for high performance computing applications . Proceedings of the ACM/IEEE Conference on Supercomputing [CD-ROM] .
  • Gazendam , A. Building and refining general purpose computing clusters in an emerging HPC oriented research environment . Proceedings of the 22nd International Symposium on High Performance Computing Systems and Applications (HPCS) . 9–11 June , Quebec City , QC (Piscataway, NJ: IEEE Press). pp. 19 – 25 .
  • Gutman , G. , Janetos , A. , Justice , C.O. , Moran , E.F. , Mustard , J.F. , Rindfuss , R.R. , Skole , D. and Turner , B.L. II . 2004 . Land Change Science: Observing, Monitoring, and Understanding Trajectories of Change on the Earth's Surface , Berlin : Springer .
  • Hansen , M.C. and DeFries , R.S. 2004 . Detecting long-term global forest change using continuous fields of tree-cover maps from 8-km advanced very high resolution radiometer (AVHRR) data for the years 1982–99 . Ecosystems , 7 : 695 – 716 .
  • Hansen , M.C. , DeFries , R.S. , Townshend , J.R.G. , Carroll , M. , Dimiceli , C. and Sohlberg , R.A. 2003 . Global percent tree cover at a spatial resolution of 500 meters: first results of the MODIS vegetation continuous fields algorithm . Earth Interactions , 7 : 1 – 15 .
  • Hird , J.N. and McDermid , G.J. 2009 . Noise reduction of NDVI time series: an empirical comparison of selected techniques . Remote Sensing of Environment , 113 : 248 – 258 .
  • Jönsson , P. and Eklundh , L. 2002 . Seasonality extraction by function fitting to time-series of satellite sensor data . IEEE Transactions on Geoscience and Remote Sensing , 40 : 1824 – 1832 .
  • Kalluri , S.N.V. , Jaja , J. , Bader , D.A. , Zhang , Z. , Townshend , J.R.G. and Fallah-Adl , H. 2000 . High performance computing algorithms for land cover dynamics using remote sensing data . International Journal of Remote Sensing , 21 : 1513 – 1536 .
  • Kleynhans , W. , Olivier , J.C. , Wessels , K.J. , van den Bergh , F. , Salmon , B.P. and Steenkamp , K.C. 2010 . Improving land cover class separation using an extended Kalman filter on MODIS NDVI time series data . IEEE Geoscience and Remote Sensing Letters , 7 : 381 – 385 .
  • Lambin , E.F. and Strahler , A.H. 1994 . Change-vector analysis in multitemporal space: a tool to detect and categorize land-cover change processes using high temporal-resolution satellite data . Remote Sensing of Environment , 48 : 231 – 244 .
  • Lanfredi , M. , Simoniello , T. and Macchiato , M. 2004 . Temporal persistence in vegetation cover changes observed from satellite: development of an estimation procedure in the test site of the Mediterranean Italy . Remote sensing of environment , 93 : 565 – 576 .
  • Lhermitte , S. , Verbesselt , J. , Jonckheere , I. , Nackaerts , K. , van Aardt , J.A.N. , Verstraeten , W.W. and Coppin , P. 2008 . Hierarchical image segmentation based on similarity of NDVI time series . Remote Sensing of Environment , 112 : 506 – 521 .
  • Loveland , T.R. , Sohl , T.L. , Stehman , S.V. , Gallant , A.L. , Sayler , K.L. and Napton , D.E. 2002 . A strategy for estimating the rates of recent United States land-cover changes . Photogrammetric Engineering and Remote Sensing , 68 : 1091 – 1099 .
  • Lu , D. , Mausel , P. , Brondizio , E. and Moran , E. 2004 . Change detection techniques . International Journal of Remote Sensing , 25 : 2365 – 2401 .
  • Lu , D. and Weng , Q. 2007 . A survey of image classification methods and techniques for improving classification performance . International Journal of Remote Sensing , 28 : 823 – 870 .
  • Lunetta , R.S. , Knight , J.F. , Ediriwickrema , J. , Lyon , J.G. and Worthy , L.D. 2006 . Land-cover change detection using multi-temporal MODIS NDVI data . Remote Sensing of Environment , 105 : 142 – 154 .
  • Mitra , S. 2002 . Digital Signal Processing , New York : McGraw Hill .
  • Myneni , R.B. , Keeling , C.D. , Tucker , C.J. , Asrar , G. and Nemani , R.R. 1997 . Increased plant growth in the northern high latitudes from 1981 to 1991 . Nature , 386 : 698 – 702 .
  • Natrella, M., 1963, Engineering Statistics Handbook. NIST/SEMATECH e-Handbook of Statistical Methods http://www.itl.nist.gov/div898/handbook/ (http://www.itl.nist.gov/div898/handbook/) (Accessed: 25 June 2009 ).
  • Paola , J.D. and Schowengerdt , R.A. 1995 . A detailed comparison of back-propagation neural network and maximum likelihood classifiers for urban land use classification . IEEE Transactions on Geosience and Remote Sensing , 33 : 981 – 996 .
  • Plaza , A. and Chang , C. 2007 . High Performance Computing in Remote Sensing , Boca Raton , FL : Chapman & Hall/CRC .
  • Reed , B.C. , White , M.A. and Brown , J.F. 2003 . “ Remote sensing phenology ” . In Phenology: An Integrative Science , Edited by: Schwartz , M.D. 365 – 383 . Dordrecht : Kluwer Academic .
  • Ristic , B. , Arulampalam , S. and Gordon , N. 2004 . Beyond the Kalman Filter , 1st , London : Artech House .
  • Salmon , B.P. , Olivier , J.C. , Kleynhans , W. , Wessels , K.J. and van den Bergh , F. The quest for automated land cover change detection using satellite time series data . In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium . 12–17 July , Cape Town , South Africa.
  • Schwartz , M. 2003 . Phenology: An Integrative Environmental Science , London : Kluwer Academic .
  • Smits , P. and Bruzzone , L. , eds. 2003 . Analysis of Multi-temporal Remote Sensing Images , Vol. 3 , River Edge , NJ : World Scientific .
  • Steenkamp , K. , Wessels , K.J. , Archibald , S. and von Maltitz , G. Satellite derived phenology of southern Africa for 1985–2000 and functional classification of vegetation based on phenometrics . In Proceedings of the 33rd International Symposium on Remote Sensing of the Environment (ISRSE) . 4–8 May, Stresa , Italy.
  • Sterling , T. , Becker , D.J. , Savarese , D. , Dorband , J.E. , Ranawake , U.A. and Packer , C.V. BEOWULF: a parallel workstation for scientific computation . Proceedings of the 24th International Conference on Parallel Processing . 14–18 August , Urbana‐Champain , IL . pp. 11 – 14 . Boca Raton , FL : CRC Press .
  • Strahler , A. , Muchoney , D. , Borak , J. , Friedl , M. , Gopal , S. , Lambin , E. and Moody , A. 1999 . MODIS Land Cover Product Algorithm Theoretical Basis Document (ATBD). MODIS Land Cover and Land-Cover Change , Boston , MA : Boston University .
  • Tian , Y. , Peters-Lidard , C.D. , Kumar , S.V. , Geiger , J. , Houser , P.R. , Eastman , J.L. , Dirmeyer , P. , Doty , B. and Adams , J. 2008 . High-performance land surface modeling with a Linux cluster . Computers and Geosciences , 34 : 1492 – 1504 .
  • Townshend , J.R.G. and Justice , C.O. 1986 . Analysis of the dynamics of African vegetation using the Normalized Difference Begetation Index . International Journal of Remote Sensing , 7 : 1435 – 1445 .
  • Townshend , J.R.G. and Justice , C.O. 1988 . Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations . International Journal of Remote Sensing , 9 : 187 – 236 .
  • Van Dijk , A. , Callis , S. , Sakamoto , C. and Decker , W. 1987 . Smoothing vegetation index profiles: an alternative method for reducing radiometric disturbance in NOAA/AVHRR data . Photogrammetric Engineering and Remote Sensing (USA) , 53 : 1059 – 1067 .
  • Vanacker , V. , Linderman , M. , Lupo , F. , Flasse , S. and Lambin , E. 2005 . Impact of short-term rainfall fluctuation on interannual land cover change in sub-Saharan Africa . Global Ecology & Biogeography , 14 : 123 – 135 .
  • Vermaak , J. and Botha , E.C. 1998 . Recurrent neural networks for short-term load forecasting . IEEE Transactions on Power Systems , 13 : 126 – 132 .
  • Viovy , N. , Arino , O. and Belward , A. 1992 . The Best Index Slope Extraction (BISE): a method for reducing noise in NDVI time-series . International Journal of Remote Sensing , 13 : 1585 – 1590 .
  • Wang , X. , Liang , X.X. and Sun , J.Z. A new approach of neural networks to time-varying database classification . Proceedings of the Machine Learning and Cybernetics 2005 . 18–21 August , Guangzhou , China. Vol. 4 , pp. 2050 – 2054 . Piscataway , NJ : IEEE Press .
  • Wessels , K.J. , Bachoo , A.K. and Archibald , S. Influence of composite period and date of observation on phenological metrics extracted from MODIS data . In Proceedings of the 33rd International Symposium on Remote Sensing of the Environment (ISRSE) . 4–8 May , Stresa , Italy .
  • White , M.A. , De Beurs , K.M. , Idan , K.D. , Inouy , D.W. , Richardson , A.D. , Jensen , O.P. , O'Keef , J. , Zhang , G. , Nemani , R.R. , Van Leeuwen , W.J.D. , Brown , J.F. , De wit , A. , Schaepman , M. , Lin , X. , Dettinger , M. , Bailey , A.S. , Kimball , J. , Schwartz , M.D. , Baldocchi , D.D. , Lee , J.T. and Lauenroth , W.K. 2009 . Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982 to 2006 . Global Change Biology , 15 : 2335 – 2359 .
  • Zhang , X. , Friedl , M. and Schaaf , C. 2006 . Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): evaluation of global patterns and comparison with in situ measurements . Journal of Geophysical Research , 111 : G04017 doi: 10.1029/2006JG000217
  • Zhang , X. , Friedl , M. , Schaaf , C. , Strahler , A. , Hodges , J. , Gao , F. , Reed , B. and Huete , A. 2003 . Monitoring vegetation phenology using MODIS . Remote Sensing of Environment , 84 : 471 – 475 .
  • Zhou , L. , Kaufmann , R.K. , Tian , Y. , Myneni , R.B. and Tucker , C.J. 2003 . Relation between interannual variations in satellite measures of northern forest greenness and climate between 1982 and 1999 . Journal of Geophysical Research , 108 : 4004 – 4015 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.