The application of a binary division procedure to the classification of forest subcategories using MODIS time-series data during 2000–2010 in China
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Luo Liu | Zhi Qiao | Xinliang Xu | Fang Wang | Meiyan Zhao | Xinliang Xu | Zhi Qiao | Luo Liu | Fang Wang | Meiyan Zhao
[1] B. Wardlow,et al. Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains , 2008 .
[2] H. Tian,et al. Spatial and temporal patterns of China's cropland during 1990¿2000: An analysis based on Landsat TM data , 2005 .
[3] H. Carrão,et al. Multitemporal MERIS images for land-cover mapping at a national scale: a case study of Portugal , 2010 .
[4] G. Donald,et al. Pasture Land Cover in Eastern Australia from NOAA-AVHRR NDVI and Classified Landsat TM , 1999 .
[5] E. Dwyer,et al. Spatio-temporal patterns in vegetation start of season across the island of Ireland using the MERIS Global Vegetation Index , 2012 .
[6] Chris H. Q. Ding,et al. Evolving Feature Selection , 2005, IEEE Intell. Syst..
[7] M. J. Pringle,et al. Identification of cropping activity in central and southern Queensland, Australia, with the aid of MODIS MOD13Q1 imagery , 2012, Int. J. Appl. Earth Obs. Geoinformation.
[8] John R. G. Townshend,et al. Global data sets for land applications from the Advanced Very High Resolution Radiometer: an introduction , 1994 .
[9] Christelle Vancutsem,et al. GlobCover: ESA service for global land cover from MERIS , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.
[10] David M. Johnson,et al. Impacts of imagery temporal frequency on land-cover change detection monitoring , 2004 .
[11] M. Schaepman,et al. Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics , 2009 .
[12] A. Belward,et al. GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .
[13] R. Lunetta,et al. Land-cover change detection using multi-temporal MODIS NDVI data , 2006 .
[14] Shunlin Liang,et al. Continuous tree distribution in China: A comparison of two estimates from Moderate‐Resolution Imaging Spectroradiometer and Landsat data , 2006 .
[15] G. Bonan. Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests , 2008, Science.
[16] Limin Yang,et al. Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .
[17] Damien Sulla-Menashe,et al. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .
[18] J. Townshend,et al. Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data , 2008, Proceedings of the National Academy of Sciences.
[19] John F. Mustard,et al. Extracting Phenological Signals From Multiyear AVHRR NDVI Time Series: Framework for Applying High-Order Annual Splines With Roughness Damping , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[20] Hua Chen,et al. Forest classification based on MODIS time series and vegetation phenology , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[21] D. Schimel. Forests in the Global Carbon Cycle , 2014 .
[22] R. K. Gupta,et al. Comparative study of AVHRR ratio vegetation index and normalized difference vegetation index in district level agricultural monitoring , 1993 .
[23] Hugo Carrão,et al. Contribution of multispectral and multitemporal information from MODIS images to land cover classification , 2008 .
[24] Daniel Murdiyarso,et al. Carbon sequestration in tropical forests and water: a critical look at the basis for commonly used generalizations , 2010 .
[25] J. Townshend,et al. Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .
[26] Brian W. Barrett,et al. Temporal optimisation of image acquisition for land cover classification with Random Forest and MODIS time-series , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[27] A. S. Belward,et al. A new SPOT4-VEGETATION derived land cover map of Northern Eurasia , 2003 .
[28] Hankui K. Zhang,et al. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data , 2013 .
[29] W. Keeton,et al. Forest cover change and illegal logging in the Ukrainian Carpathians in the transition period from 1988 to 2007 , 2009 .
[30] Alan H. Strahler,et al. Global land cover mapping from MODIS: algorithms and early results , 2002 .
[31] C. Woodcock,et al. Continuous change detection and classification of land cover using all available Landsat data , 2014 .
[32] Lei Zhang,et al. Forest cover classification using Landsat ETM+ data and time series MODIS NDVI data , 2014, Int. J. Appl. Earth Obs. Geoinformation.
[33] L. Bai. Views on the application of MODIS image in forest mapping and forest type identification , 2013, 2013 International Conference on Computer Applications Technology (ICCAT).
[34] Jianxi Huang,et al. Forest Cover Classification from Multi-temporal MODIS Images in Southeast Asia Using Decision Tree , 2011, CCTA.
[35] Hao Jiang,et al. Assessing Consistency of Five Global Land Cover Data Sets in China , 2014, Remote. Sens..