Journal ArticleDOI
Global land cover mapping from MODIS: algorithms and early results
Mark A. Friedl,D.K. McIver,J.C.F. Hodges,Xiaoyang Zhang,D. Muchoney,Alan H. Strahler,Curtis E. Woodcock,Sucharita Gopal,Annemarie Schneider,Amanda Cooper,Alessandro Baccini,Feng Gao,Crystal B. Schaaf +12 more
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TLDR
This product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP, and a supervised classification methodology is used that exploits a global database of training sites interpreted from high-resolution imagery in association with ancillary data.About:
This article is published in Remote Sensing of Environment.The article was published on 2002-11-01. It has received 2379 citations till now. The article focuses on the topics: Land cover & Moderate-resolution imaging spectroradiometer.read more
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Book Chapter
Changes in Atmospheric Constituents and in Radiative Forcing
Piers M. Forster,Venkatachalam Ramaswamy,Paulo Artaxo,Terje Koren Berntsen,Richard Betts,David W. Fahey,Jim Haywood,Judith Lean,David C. Lowe,Gunnar Myhre,John Nganga,Ronald G. Prinn,Graciela B. Raga,Michael Schulz,Rob van Dorland,Greg Bodeker,Oliver Boucher,William D. Collins,T.J. Conway,Edward J. Dlugokencky,James W. Elkins,David Etheridge,P. Foukal,Paul J. Fraser,Marvyn Geller,Fortunat Joos,Charles D. Keeling,Stefan Kinne,K. Lassey,Ulrike Lohmann,Andrew C. Manning,S. A. Montzka,David E. Oram,K. O'Shaughnessy,S. Piper,Gian-Kasper Plattner,Michael Ponater,Navin Ramankutty,G. Reid,David Rind,Karen H. Rosenlof,Robert Sausen,D. Schwarzkopf,S.K. Solanki,Garry Stenchikov,N. Stuber,Toshihiko Takemura,Christiane Textor,R. Wang,Ray F. Weiss,T. Whorf +50 more
Journal ArticleDOI
Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature)
TL;DR: The Model of Emissions of Gases and Aerosols from Nature (MEGAN) is used to quantify net terrestrial biosphere emission of isoprene into the atmosphere as mentioned in this paper.
Journal ArticleDOI
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
Mark A. Friedl,Damien Sulla-Menashe,Bin Tan,Annemarie Schneider,Navin Ramankutty,Adam Sibley,Xiaoman Huang +6 more
TL;DR: The datasets and algorithms used to create the Collection 5 MODIS Global Land Cover Type product, which is substantially changed relative to Collection 4, are described, with a four-fold increase in spatial resolution and changes in the input data and classification algorithm.
Journal ArticleDOI
Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009)
G. R. van der Werf,James T. Randerson,Louis Giglio,Louis Giglio,G. J. Collatz,Mingquan Mu,Prasad S. Kasibhatla,Douglas C. Morton,Ruth DeFries,Yufang Jin,T. T. van Leeuwen +10 more
TL;DR: In this paper, the authors used a revised version of the Carnegie-Ames-Stanford-Approach (CASA) biogeochemical model and improved satellite-derived estimates of area burned, fire activity, and plant productivity to calculate fire emissions for the 1997-2009 period on a 0.5° spatial resolution with a monthly time step.
Journal ArticleDOI
Monitoring vegetation phenology using MODIS
Xiaoyang Zhang,Mark A. Friedl,Crystal B. Schaaf,Alan H. Strahler,John C.F. Hodges,Feng Gao,Bradley C. Reed,Alfredo Huete +7 more
TL;DR: In this article, a new methodology to monitor global vegetation phenology from time series of satellite data is presented, which uses series of piecewise logistic functions, which are fit to remotely sensed vegetation index (VI) data, to represent intra-annual vegetation dynamics.
References
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Book
C4.5: Programs for Machine Learning
TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
Journal ArticleDOI
Additive Logistic Regression : A Statistical View of Boosting
TL;DR: This work shows that this seemingly mysterious phenomenon of boosting can be understood in terms of well-known statistical principles, namely additive modeling and maximum likelihood, and develops more direct approximations and shows that they exhibit nearly identical results to boosting.
Journal ArticleDOI
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
TL;DR: In this article, the authors compared the effectiveness of randomization, bagging, and boosting for improving the performance of the decision-tree algorithm C4.5 and found that in situations with little or no classification noise, randomization is competitive with bagging but not as accurate as boosting.
Journal ArticleDOI
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
Eric Bauer,Ron Kohavi +1 more
TL;DR: It is found that Bagging improves when probabilistic estimates in conjunction with no-pruning are used, as well as when the data was backfit, and that Arc-x4 behaves differently than AdaBoost if reweighting is used instead of resampling, indicating a fundamental difference.
Journal ArticleDOI
Development of a global land cover characteristics database and igbp discover from 1 km avhrr data
Thomas R. Loveland,Bradley C. Reed,Jesslyn F. Brown,Donald O. Ohlen,Zhiliang Zhu,Limin Yang,James W. Merchant +6 more
TL;DR: The IGBP DISCover global land cover product as mentioned in this paper is an integral component of the Global Land Cover database, which provides a unique view of the broad patterns of the biogeographical and ecoclimatic diversity of the global land surface and presents a detailed interpretation of the extent of human development.
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Jonathan A. Foley,Ruth DeFries,Gregory P. Asner,Carol C. Barford,Gordon B. Bonan,Stephen R. Carpenter,F. Stuart Chapin,Michael T. Coe,Michael T. Coe,Gretchen C. Daily,Holly K. Gibbs,Joseph H. Helkowski,Tracey Holloway,Erica A. Howard,Christopher J. Kucharik,Chad Monfreda,Jonathan A. Patz,I. Colin Prentice,Navin Ramankutty,Peter K. Snyder +19 more