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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Proceedings ArticleDOI
Evaluation of the ASCAT surface soil moisture product for agricultural drought monitoring in USA
TL;DR: The results indicate ASCAT SSM product is generally effective for characterizing drought conditions across different stations, with better representation of soil moisture at 5cm than 10cm depth.
Journal ArticleDOI
Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic
Krishna Prasad Vadrevu,Aditya Eaturu,Emily Casadaban,Kristofer Lasko,Wilfrid Schroeder,Sumalika Biswas,Louis Giglio,Christopher O. Justice +7 more
TL;DR: In this paper , the authors focused on vegetation fires and the changes during the COVID-2020 and pre-pandemic (2012-2019) as compared to pre-Pandemic.
A Terrestrial Surface Climate Data Record for Global Change Studies
Eric Vermote,Christopher O. Justice,Martin Claverie,Ivan Csiszar,D. J. Meyer,Ranga B. Myneni,F. Baret,Edward J. Masuoka,Robert E. Wolfe +8 more
Initial Validation of NDVI time seriesfrom AVHRR, VEGETATION, and MODIS
TL;DR: In this paper, an analysis of a long-term vegetation record derived from three moderate-resolution sensors: AVHRR, VEGETATION, and MODIS is presented.
Journal ArticleDOI
A SeaWiFS global monthly coarse-resolution reflectance dataset
Eric Vermote,Christopher O. Justice,J. Descloitres,N. El Saleous,David P. Roy,J. Ray,B. Margerin,L. Gonzalez +7 more
Abstract: A global monthly reflectance dataset from September 1997 to December 1999 at 8 km spatial resolution was derived from Sea Wide Field of view Sensor (SeaWiFS). This dataset, used for prototyping MODIS Land/ Atmosphere algorithms, is now available for release to the broader community. This Letter describes the data processing, data format, and how these value-added data and some tools for their analysis may be obtained.