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
Active fires from the Suomi NPP Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results
Ivan Csiszar,Wilfrid Schroeder,Louis Giglio,Evan Ellicott,Krishna Prasad Vadrevu,Christopher O. Justice,Brad Wind +6 more
TL;DR: In this article, an active fire product based on the 750m moderate resolution “M” bands of VIIRS is presented, which is one of the standard operational products generated by the Interface Data Processing Segment of the S-NPP ground system.
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The Southern Africa Fire Network (SAFNet) regional burned‐area product‐validation protocol
David P. Roy,Peter G. H. Frost,Christopher O. Justice,Tobias Landmann,J. Le Roux,K. Gumbo,S. Makungwa,K. Dunham,R. Du Toit,K. Mhwandagara,A. Zacarias,B. Tacheba,O. P. Dube,José M. C. Pereira,P. Mushove,Jeffrey T. Morisette,S. K. Santhana Vannan,Diane Davies +17 more
TL;DR: In this paper, the authors describe a protocol developed to validate a regional southern Africa burned-area product derived from Moderate Resolution Imaging Spectroradiometer (MODIS) 500 m time series data.
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The effect of water vapour on the normalized difference vegetation index derived for the Sahelian region from NOAA AVHRR data
TL;DR: The near-infrared channel of the NOAA advanced very high resolution radiometer (AVHRR) contains a water vapor absorption band that affects the determination of the normalized difference vegetation index (NDVI).
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Application of digital terrain data to quantify and reduce the topographic effect on Landsat data
TL;DR: In this paper, the authors integrated LANDSAT multispectral scanner (MSS) data with 30 m U.S. Geological Survey digital terrain data to quantify and reduce the topographic effect on imagery of a forested mountain ridge test site in central Pennsylvania.
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MODIS–Landsat fusion for large area 30m burned area mapping
TL;DR: In this paper, a methodology to fuse multi-temporal Landsat Enhanced Thematic Mapper plus (ETM+) data with MODIS active fire detections to map systematically burned areas at 30-m resolution is presented.