Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains

[1]  B. Wardlow,et al.  Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains , 2007 .

[2]  Kevin P. Price,et al.  Multitemporal, Moderate-Spatial-Resolution Remote Sensing of Modern Agricultural Production and Land Modification in the Brazilian Amazon , 2007 .

[3]  R. Lunetta,et al.  Land-cover change detection using multi-temporal MODIS NDVI data , 2006 .

[4]  B. Wardlow,et al.  Using USDA Crop Progress Data for the Evaluation of Greenup Onset Date Calculated from MODIS 250-Meter Data , 2006 .

[5]  R. DeFries,et al.  Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon , 2006, Proceedings of the National Academy of Sciences.

[6]  Terry L. Kastens,et al.  Image masking for crop yield forecasting using AVHRR NDVI time series imagery , 2005 .

[7]  A. Belward,et al.  GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .

[8]  D. Lobell,et al.  Cropland distributions from temporal unmixing of MODIS data , 2004 .

[9]  Jan Dempewolf,et al.  Mapping regional land cover with MODIS data for biological conservation: Examples from the Greater Yellowstone Ecosystem, USA and Pará State, Brazil , 2004 .

[10]  Limin Yang,et al.  Development of a 2001 National land-cover database for the United States , 2004 .

[11]  Scott L. Powell,et al.  Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis , 2004 .

[12]  Brian D. Wardlow,et al.  A State-Level Comparative Analysis of the GAP and NLCD Land-Cover Data Sets , 2003 .

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

[14]  S. Running,et al.  Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .

[15]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

[16]  D. Roy,et al.  Achieving sub-pixel geolocation accuracy in support of MODIS land science , 2002 .

[17]  C. Justice,et al.  Atmospheric correction of MODIS data in the visible to middle infrared: first results , 2002 .

[18]  J. Townshend,et al.  Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data , 2002 .

[19]  J. Townshend,et al.  Detection of land cover changes using MODIS 250 m data , 2002 .

[20]  Christopher O. Justice,et al.  Special issue on the moderate resolution imaging spectroradiometer (MODIS): a new generation of land surface monitoring , 2002 .

[21]  Glenn P. Dolcemascolo,et al.  Preparing for a changing climate : the potential consequences of climate variability and change , 2001 .

[22]  Limin Yang,et al.  COMPLETION OF THE 1990S NATIONAL LAND COVER DATA SET FOR THE CONTERMINOUS UNITED STATES FROM LANDSAT THEMATIC MAPPER DATA AND ANCILLARY DATA SOURCES , 2001 .

[23]  Ruth S. DeFries,et al.  Global and regional land cover characterization from satellite data: an introduction to the Special Issue , 2000 .

[24]  J. Cihlar Land cover mapping of large areas from satellites: Status and research priorities , 2000 .

[25]  Limin Yang,et al.  Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .

[26]  Eric Bauer,et al.  An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants , 1999, Machine Learning.

[27]  Alan H. Strahler,et al.  Maximizing land cover classification accuracies produced by decision trees at continental to global scales , 1999, IEEE Trans. Geosci. Remote. Sens..

[28]  Stephen V. Stehman,et al.  Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles , 1998 .

[29]  A. Belward,et al.  The IGBP-DIS global 1km land cover data set, DISCover: First results , 1997 .

[30]  C. Brodley,et al.  Decision tree classification of land cover from remotely sensed data , 1997 .

[31]  K. Price,et al.  Mapping Land Cover in a High Plains Agro-ecosystem Using a Multidate Landsat Thematic Mapper Modeling Approach , 1997 .

[32]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[33]  R. DeFries,et al.  Classification trees: an alternative to traditional land cover classifiers , 1996 .

[34]  Ron Kohavi,et al.  A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.

[35]  Jesslyn F. Brown,et al.  Seasonal Land‐Cover Regions of the United States , 1995, Annals of the Association of American Geographers.

[36]  J. Townshend,et al.  NDVI-derived land cover classifications at a global scale , 1994 .

[37]  Jesslyn F. Brown,et al.  Measuring phenological variability from satellite imagery , 1994 .

[38]  R. Dickinson,et al.  Biosphere-Atmosphere Transfer Scheme (BATS) version le as coupled to the NCAR community climate model. Technical note. [NCAR (National Center for Atmospheric Research)] , 1993 .

[39]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[40]  Timothy G. F. Kittel,et al.  Regional Analysis of the Central Great Plains , 1991 .

[41]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[42]  Yoav Freund,et al.  Boosting a weak learning algorithm by majority , 1990, COLT '90.

[43]  Robert E. Schapire,et al.  The Strength of Weak Learnability , 1989, 30th Annual Symposium on Foundations of Computer Science.

[44]  R. Young,et al.  AGNPS: A nonpoint-source pollution model for evaluating agricultural watersheds , 1989 .

[45]  R. Myneni,et al.  Estimation of plant-canopy attributes from spectral reflectance measurements , 1989 .

[46]  W. Parton,et al.  Dynamics of C, N, P and S in grassland soils: a model , 1988 .

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

[48]  J. Omernik Ecoregions of the Conterminous United States , 1987 .

[49]  A. Belward,et al.  GLC 2000 : a new approach to global land cover mapping from Earth observation data , 2005 .

[50]  K. J. Wesselsa,et al.  Mapping regional land cover with MODIS data for biological conservation : Examples from the Greater Yellowstone Ecosystem , USA and Pará State , Brazil , 2004 .

[51]  E. Bradley Analysis of time series , 2003 .

[52]  C. O. Justicea,et al.  The MODIS fire products , 2002 .

[53]  M. Bossard,et al.  CORINE land cover technical guide - Addendum 2000 , 2000 .

[54]  R. J. Bord,et al.  PREPARING FOR A CHANGING CLIMATE , 2000 .

[55]  Stephen V. Stehman,et al.  Basic probability sampling designs for thematic map accuracy assessment , 1999 .

[56]  J. Townshend,et al.  Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers , 1998 .

[57]  Thomas R. Loveland,et al.  The IGBP-DIS global 1 km land cover data set , 1997 .

[58]  G. Fischer,et al.  Land-use and land-cover change. Science/research plan , 1995 .

[59]  Ann Henderson-Sellers,et al.  Biosphere-atmosphere transfer scheme(BATS) version 1e as coupled to the NCAR community climate model , 1993 .

[60]  Ghassem R. Asrar,et al.  Theory and applications of optical remote sensing. , 1989 .

[61]  J. R. Jensen,et al.  Inland wetland change detection using aircraft MSS data , 1987 .