A methodology for near real-time monitoring of habitat change at continental scales using MODIS-NDVI and TRMM

[1]  E. Lambin,et al.  Proximate Causes and Underlying Driving Forces of Tropical Deforestation , 2002 .

[2]  Hans Henrik Thodberg,et al.  A review of Bayesian neural networks with an application to near infrared spectroscopy , 1996, IEEE Trans. Neural Networks.

[3]  United Kingdom,et al.  GLOBAL FOREST RESOURCES ASSESSMENT 2005 , 2005 .

[4]  W. Verhoef,et al.  A colour composite of NOAA-AVHRR-NDVI based on time series analysis (1981-1992) , 1996 .

[5]  A. Mitchell,et al.  The little REDD book: a guide to governmental and non-governmental proposals for reducing emissions from deforestation and degradation. , 2008 .

[6]  J. MacQueen.  Some methods for classification and analysis of multivariate observations , 1967 .

[7]  G. Bonan.  Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests , 2008, Science.

[8]  Raúl Rojas,et al.  The Backpropagation Algorithm , 1996 .

[9]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[10]  Yang Shao,et al.  Monitoring agricultural cropping patterns across the Laurentian Great Lakes Basin using MODIS-NDVI data , 2010, Int. J. Appl. Earth Obs. Geoinformation.

[11]  Gregory P. Asner,et al.  Selective logging changes forest phenology in the Brazilian Amazon: Evidence from MODIS image time series analysis , 2009 .

[12]  John Tenhunen,et al.  Vegetation mapping with multitemporal NDVI in North Eastern China Transect (NECT) , 2004 .

[13]  Rodrigo Sierra,et al.  The role of domestic timber markets in tropical deforestation and forest degradation in Ecuador: Implications for conservation planning and policy , 2001 .

[14]  Bin Zhao,et al.  Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data. , 2010 .

[15]  Zhongbo Su,et al.  Reconstruction of a cloud - free vegetation index time series for the Tibetan plateau , 2004 .

[16]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[17]  T. Sakamoto,et al.  Detecting temporal changes in the extent of annual flooding within the cambodia and the vietnamese mekong delta from MODIS time-series imagery , 2007 .

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

[19]  A. Huete,et al.  MODIS VEGETATION INDEX ( MOD 13 ) ALGORITHM THEORETICAL BASIS DOCUMENT Version 3 . 1 Principal Investigators , 1999 .

[20]  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.

[21]  T. Warren Liao,et al.  Clustering of time series data - a survey , 2005, Pattern Recognit..

[22]  B. Gao.  NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[23]  Bing Zhang,et al.  Land cover classification of the North China Plain using MODIS_EVI time series , 2008 .

[24]  F. Achard,et al.  Tropical forest cover change in the 1990s and options for future monitoring , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[25]  Jennifer N. Hird,et al.  Noise reduction of NDVI time series: An empirical comparison of selected techniques , 2009 .

[26]  Frédéric Achard,et al.  Remote Sensing of Land-Cover and Land-Use Dynamics , 2008 .

[27]  B. Griscom,et al.  The Little REDD+ Book , 2008 .

[28]  David J. C. MacKay,et al.  A Practical Bayesian Framework for Backpropagation Networks , 1992, Neural Computation.

[29]  P. Raven,et al.  Biodiversity: Connecting with the Tapestry of Life , 2001 .

[30]  J. Townshend,et al.  Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm , 2003 .

[31]  S. Zhongbo,et al.  Reconstruction of a Cloud-free Vegetation Index Time Series for the Tibetan Plateau , 2004 .