J. J. McNelis

ORCID: 0000-0002-2168-3475
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Remote Sensing and Land Use
  • Species Distribution and Climate Change
  • Atmospheric and Environmental Gas Dynamics
  • Soil erosion and sediment transport
  • Atmospheric chemistry and aerosols
  • Research Data Management Practices
  • Vehicle emissions and performance
  • Environmental Monitoring and Data Management
  • Agricultural Economics and Policy
  • Advanced Computational Techniques and Applications
  • Agriculture Sustainability and Environmental Impact
  • Satellite Communication Systems
  • Underwater Vehicles and Communication Systems
  • Aeolian processes and effects
  • Hydrology and Sediment Transport Processes
  • Privacy-Preserving Technologies in Data
  • Data Mining Algorithms and Applications
  • Wind and Air Flow Studies
  • Horticultural and Viticultural Research
  • Climate change and permafrost
  • Cryospheric studies and observations
  • Big Data Technologies and Applications
  • Geographic Information Systems Studies

Jet Propulsion Laboratory
2020-2022

Oak Ridge National Laboratory
2017-2021

University of Tennessee at Knoxville
2020

Abstract The ACT‐America project is a NASA Earth Venture Suborbital‐2 mission designed to study the transport and fluxes of greenhouse gases. open freely available data sets provide airborne in situ measurements atmospheric carbon dioxide, methane, trace gases, aerosols, clouds, meteorological properties, remote sensing aerosol backscatter, boundary layer height columnar content tower‐based measurements, modeled mole fractions regional gases over Central Eastern United States. We conducted...

10.1029/2020ea001634 article EN Earth and Space Science 2021-06-04

Mapping vegetation species is critical to facilitate related quantitative assessment, and mapping invasive plants important enhance monitoring management activities. Integrating high-resolution multispectral remote-sensing (RS) images lidar (light detection ranging) point clouds can provide robust features for mapping. However, using multiple sources of RS data on a large spatial scale be both computationally sampling intensive. Here, we designed two-step classification workflow potentially...

10.3390/rs12040609 article EN cc-by Remote Sensing 2020-02-12

Abstract The goal in this commentary is to share the development of NASA Applied Science pre‐launch protocol called Early Adopter Program (EAP) that designed build user‐readiness planned satellite Earth observing missions proactively and before launch . Here we focus particular on Surface Water Ocean Topography mission EAP as an illustration benefits such a program proactive sustained user community engagement. Such will be value other observation are currently service, scheduled for or...

10.1029/2022av000680 article EN cc-by AGU Advances 2022-10-29

High-resolution terrestrial laser scanning (TLS) provides a unique opportunity to monitor short-term erosion and deposition processes in gully systems. This study quantified the pattern of within an active sub-tropical environment west Tennessee. Two TLS surveys were conducted on December 2014 February 2015 generate digital elevation models (DEMs) different resolutions. The volumes estimated by differencing DEMs these two dates with consideration spatially propagated errors associated...

10.3389/feart.2020.587999 article EN cc-by Frontiers in Earth Science 2020-10-28

Mapping vegetation species is critical to facilitate related quantitative assessment, and for invasive plants mapping their distribution important enhance monitoring controlling activities. Integrating high resolution multispectral remote sensing (RS) image lidar (light detection ranging) point clouds can provide robust features mapping. However, using multiple source of high-resolution RS data at large spatial scale be both computationally sampling intensive. Here we designed a two-step...

10.20944/preprints201912.0418.v1 preprint EN 2019-12-31

The Physical Oceanography Distributed Active Archive Center (PO.DAAC https://podaac.jpl.nasa.gov/) is NASA’s data center for the Surface Water and Ocean Topography (SWOT) mission (https://podaac.jpl.nasa.gov/SWOT?sections=data), which has recently launched in December 2022. PO.DAAC also archives physical oceanography data, includes winds, salinity, sea surface temperature, gravity, ocean circulation, a growing number of terrestrial hydrology data. SWOT provides comprehensive view...

10.5194/egusphere-egu23-16890 preprint EN 2023-02-26
Coming Soon ...