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.
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SAFARI-2000 characterization of fuels, fire behavior, combustion completeness, and emissions from experimental burns in infertile grass savannas in western Zambia
TL;DR: In the Southern African Regional Science Initiative (SAFARI-2000), fuels characteristics were measured before and after experimental burns in two different western Zambian grassland types (dambo and flood plain) situated on Kalahari Sands as discussed by the authors.
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Global assessment of the temporal reporting accuracy and precision of the MODIS burned area product
TL;DR: In this paper, a method for the systematic evaluation of the temporal reporting accuracy and precision of burned area products conducted using active fire detections as the reference dataset is described and applied globally to 6 years of Moderate Resolution Imaging Spectroradiometer (MODIS) burned area and active fire product data.
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Comparison of AVHRR and SMMR data for monitoring vegetation phenology on a continental scale
TL;DR: In this article, the authors compared AVHRR normalized difference vegetation index (NDVI) data with Scanning Multichannel Microwave Radiometer microwave polarization difference temperature (MPDT) data for the study of vegetation phenology.
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Meeting Earth Observation Requirements for Global Agricultural Monitoring: An Evaluation of the Revisit Capabilities of Current and Planned Moderate Resolution Optical Earth Observing Missions
TL;DR: This research models the combined revisit capabilities of seven hypothetical constellations made from five satellite sensors and compares these capabilities with the revisit frequency requirements for a reasonably cloud-free clear view within eight days throughout the agricultural growing season.
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Mapping the dense humid forest of Cameroon and Zaire using AVHRR satellite data
TL;DR: In this article, the authors used the NOAA-AVHRR data at 1km resolution to develop current maps of the dense humid forest extent for Zaire and Cameroon, and validated the AVHRR maps through comparison with high-resolution satellite imagery (Landsat-MSS) and existing maps.