Journal ArticleDOI
A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin
Matthew C. Hansen,David P. Roy,Erik Lindquist,Bernard Adusei,Christopher O. Justice,Alice Altstatt +5 more
TLDR
In this paper, the authors demonstrate a new approach that uses regional/continental MODIS derived forest cover products to calibrate Landsat data for exhaustive high spatial resolution mapping of forest cover and clearing in the Congo River Basin.About:
This article is published in Remote Sensing of Environment.The article was published on 2008-05-15. It has received 445 citations till now. The article focuses on the topics: Moderate-resolution imaging spectroradiometer & Deforestation.read more
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Journal ArticleDOI
Landsat-8: Science and Product Vision for Terrestrial Global Change Research
David P. Roy,Michael A. Wulder,Thomas R. Loveland,Curtis E. Woodcock,Richard G. Allen,Martha C. Anderson,Dennis L. Helder,James R. Irons,Daniel M. Johnson,Robert E. Kennedy,Ted Scambos,Crystal B. Schaaf,John R. Schott,Yongwei Sheng,Eric Vermote,Alan Belward,Robert Bindschadler,Warren B. Cohen,Feng Gao,James D. Hipple,Patrick Hostert,Justin L. Huntington,Christopher O. Justice,Ayse Kilic,V. Kovalskyy,Zhongping Lee,Leo Lymburner,Jeffrey G. Masek,Joel McCorkel,Yanmin Shuai,Ricardo Trezza,James E. Vogelmann,Randolph H. Wynne,Zhe Zhu +33 more
TL;DR: Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared as mentioned in this paper.
Journal ArticleDOI
Opening the archive: How free data has enabled the science and monitoring promise of Landsat
TL;DR: The new data policy is revolutionizing the use of Landsat data, spurring the creation of robust standard products and new science and applications approaches, and promoting increased international collaboration to meet the Earth observing needs of the 21st century.
Journal ArticleDOI
Carbon emissions from land use and land-cover change
Richard A. Houghton,Joanna Isobel House,Julia Pongratz,Julia Pongratz,G. R. van der Werf,Ruth DeFries,Matthew C. Hansen,C. Le Quéré,Navin Ramankutty +8 more
TL;DR: For the period 1990-2009, the mean global emissions from land use and land cover change (LULCC) are 1.14 ± 0.18 Pg C yr−1 as discussed by the authors.
Journal ArticleDOI
A review of large area monitoring of land cover change using Landsat data
TL;DR: Coupling free and open access to large data volumes with improved processing power will result in automated image pre-processing and land cover characterization methods that need to leverage high-performance computing capabilities in advancing the land cover monitoring discipline.
References
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Classification and Regression Trees.
Journal ArticleDOI
Bagging predictors
TL;DR: Tests on real and simulated data sets using classification and regression trees and subset selection in linear regression show that bagging can give substantial gains in accuracy.
Book
Image Analysis and Mathematical Morphology
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
Journal ArticleDOI
Characteristics of maximum-value composite images from temporal AVHRR data
TL;DR: In this paper, satellite data from the Advanced Very High Resolution Radiometer sensor have been processed over several days and combined to produce spatially continuous cloud-free imagery over large areas with sufficient temporal resolution to study green-vegetation dynamics.
Book
Statistical Models in S
John M. Chambers,Trevor Hastie +1 more
TL;DR: The interactive data analysis and graphics language S has become a popular environment for both data analysts and research statisticians, but a common complaint has concerned the lack of statistical modeling tools, such as those provided by GLIM© or GENSTAT©.