C
Christopher O. Justice
Researcher at University of Maryland, College Park
Publications - 245
Citations - 44131
Christopher O. Justice is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Moderate-resolution imaging spectroradiometer & Normalized Difference Vegetation Index. The author has an hindex of 82, co-authored 243 publications receiving 37977 citations. Previous affiliations of Christopher O. Justice include European Space Agency & Goddard Space Flight Center.
Papers
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Journal ArticleDOI
Analysis of the phenology of global vegetation using meteorological satellite data
TL;DR: In this paper, the authors presented coarse spatial resolution, high temporal frequency satellite data from the NOAA/AVHRR system to demonstrate their utility for monitoring vegetation seasonal dynamics, including forest clearance in Brazil, the productivity of African grasslands, Indian tropical forest and Chinese agriculture.
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An overview of MODIS Land data processing and product status
Christopher O. Justice,John R. Townshend,Eric Vermote,Edward J. Masuoka,Robert E. Wolfe,Nazmi Saleous,David P. Roy,Jeffrey T. Morisette +7 more
TL;DR: In this article, the authors provide a summary of the MODIS instrument performance and status, the data production system, the products, their status and availability for land studies, and a partnership between Science Team members and MODIS Science Data Support Team is producing data sets of unprecedented volume and number for the land research and applications.
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The MODIS fire products
Christopher O. Justice,Louis Giglio,S. Korontzi,J. Owens,Jeffrey T. Morisette,David P. Roy,J. Descloitres,S. Alleaume,F. Petitcolin,Yoram J. Kaufman +9 more
TL;DR: In this article, the MODIS Fire Rapid Response System and a web-based mapping system for enhanced distribution are described, and the next steps for MODIS fire products are outlined and an example is given for southern Africa of how this product can be used in modeling pyrogenic emissions.
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Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product
Eric Vermote,Christopher O. Justice,Martin Claverie,Martin Claverie,Belen Franch,Belen Franch +5 more
TL;DR: The Landsat 8 Operational Land Imager (OLI) atmospheric correction algorithm is developed using the Second Simulation of the Satellite Signal in the Solar Spectrum Vectorial (6SV) model, refined to take advantage of the narrow OLI spectral bands, improved radiometric resolution and signal-to-noise.
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The collection 6 MODIS active fire detection algorithm and fire products.
TL;DR: Improvements made to the fire detection algorithm and swath-level product that were implemented as part of the Collection 6 land-product reprocessing, which commenced in May 2015, indicated targeted improvements in the performance of the collection 6 activeFire detection algorithm compared to Collection 5, with reduced omission errors over large fires, and reduced false alarm rates in tropical ecosystems.