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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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Journal Article

Regional fuel load for two climatically contrasting years in southern Africa : SAFARI 2000-Southern African Regional Science Initiative

TL;DR: In this article, the available fuel loads for burning in savanna ecosystems in the southern African region have been estimated using a new Fuel load-Net Primary Production model based on ecophysiological processes such as respiration and potential evapotranspiration.
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Remote sensing of land use/cover changes in South and Southeast Asian Countries

TL;DR: The current special issue articles were part of the output from the LU/CC meeting organized in Chiang Mai, Thailand, 17–19th, July 2017 as part ofThe South/Southeast Asia Research Initiative (SARI), which is a NASA Land-Cover/Land-Use Change program-funded activity.
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The spatial variation of vegetation changes at very coarse scales

TL;DR: Townshend and Justice as discussed by the authors examined the spatial variations in images of the normalized difference vegetation index (NDVI) of seven areas by subtracting corresponding pixel values from pairs of registered MSS images.
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Regional fuel load for two climatically contrasting years in southern Africa

TL;DR: In this paper, available fuel loads for burning in savanna ecosystems in the southern African region have been estimated using a new Fuel load-Net Primary Production model based on ecophysiological processes such as respiration and potential evapotranspiration.
Journal ArticleDOI

The GEOGLAM crop monitor for AMIS: Assessing crop conditions in the context of global markets

TL;DR: The GEOGLAM Crop Monitor for the G20 Agricultural Market Information System (AMIS) provides a public good of open, timely, science-driven information on crop conditions in support of market transparency as discussed by the authors.