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David J. Williams

Researcher at United States Environmental Protection Agency

Publications -  15
Citations -  534

David J. Williams is an academic researcher from United States Environmental Protection Agency. The author has contributed to research in topics: Soil water & Soil carbon. The author has an hindex of 9, co-authored 14 publications receiving 367 citations. Previous affiliations of David J. Williams include Research Triangle Park.

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National Urban Database and Access Portal Tool

TL;DR: The National Urban Database and Access Portal Tool (NUDAPT) as mentioned in this paper was developed by the U.S. Environmental Protection Agency to produce and provide gridded fields of urban canopy parameters for various new and advanced descriptions of model physics.
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Preliminary investigation of submerged aquatic vegetation mapping using hyperspectral remote sensing.

TL;DR: The use of airborne hyperspectral remote sensing imagery for automated mapping of submerged aquatic vegetation (SAV) in the tidal Potomac River was investigated for near to real-time resource assessment and monitoring.
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Is biochar-manure co-compost a better solution for soil health improvement and N2O emissions mitigation?

TL;DR: The data demonstrated that the biochar-chicken manure co-compost could substantially reduce soil N2O emissions compared to chicken manure compost, via controls on soil organic C stabilization and the activities of microbial functional groups, especially bacterial denitrifiers.
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Evaluating the impact of spatial resolution on tropospheric NO 2 column comparisons within urban areas using high-resolution airborne data

TL;DR: This work explores best practices for satellite validation strategies with Pandora direct-sun observations by showing the sensitivity to product spatial resolution and demonstrating how the high spatial resolution NO2 data retrieved from airborne spectrometers, such as GeoTASO, can be used with high temporal resolution ground-based column observations to evaluate the influence of spatial heterogeneity on validation results.