KMap
My first career was as a wildland firefighter and fire management specialist for the US DOI National Park Service and USDA Forest Service. My education in natural resource management and dendrochronology came with a strong emphasis on Geographic Information Systems and remote sensing which became the focus of my current work. Today, I work mostly on spatial data infrastructures as a data scientist for CyVerse. Areas of Interest include Image Analysis, Large Scale Visualization, Data Science Literacy. Educational Background: PhD Watershed Management, University of Arizona 2013, MS Watershed Management, University of Arizona, 2006, BS Ecology and Evolutionary Biology, University of Arizona, 2002

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Grants
  • Funding agency logo
    Full Proposal: Environmental Data Science Innovation and Inclusion Lab (ESIIL): Accelerating discovery by fostering an open and diverse Earth data revolution

    Principal Investigator (PI)

    2022

    $160.5K
    Active
  • Funding agency logo
    Collaborative Research: High-Resolution Aerial Forest Mapping Infrastructure and Database to Support Forest and Disturbance Ecology Research

    Principal Investigator (PI)

    2022

    $45.8K
    Active
  • Funding agency logo
    Collaborative Research: OpenDendro - Advanced Open-Source Tools for Paleoenvironmental Reconstruction

    Co-Investigator (COI)

    2021

    $143.1K
    Active
  • Funding agency logo
    HIGH INTENSITY PHENOTYPING SITES: A Multi-Scale, Multi-Modal Sensing and Sense-Making Cyber-Ecosystem for Genomes to Fields

    Co-Investigator (COI)

    2020

    $497.5K
    Active
  • Funding agency logo
    Collaborative Research: Converging Genomics, Phenomics, and Environments Using Interpretable Machine Learning Models

    Co-Investigator (COI)

    2019

    $483.0K
    Active
  • Funding agency logo
    CyVerse: Cyberinfrastructure for the Life Sciences

    Co-Investigator (COI)

    2018

    $15.2M
    Active
  • Funding agency logo
    TRIPODS+X:VIS: Data Science Pathways for a Vibrant TRIPODS Commons at Scale

    Key Personnel (KP)

    2018

    $199.9K
    Active
  • Funding agency logo
    Collaborative Research:CyberTraining:CIU: Towards Distributed and Scalable Personalized Cyber-Training

    Principal Investigator (PI)

    2018

    $60.6K
    Active
  • Funding agency logo
    Program Income for Account 3028870 {CyVerse: Cyberinfrastructure for the Life Sciences}

    Co-Investigator (COI)

    2018

    $48.6K
    Active
  • Funding agency logo
    Jemez River Corridor Forest Inventory

    Principal Investigator (PI)

    2019

    $19.5K
News
  • How Mountains Hold Carbon (And Do a Good Job of It)

    2017

  • Doctoral Students Using Advanced Technology to Study Forests

    2009

Publications (77)
Recent
  • PhytoOracle: Scalable, modular phenomics data processing pipelines

    2023

  • Opensciency - A core open science curriculum by and for the research community

    2023

  • The Environmental Data Science Innovation & Inclusion Lab (ESIIL): a next-generation NSF data synthesis center

    2022

  • samapriya/awesome-gee-community-datasets: Community Catalog

    2022

  • Reimagine fire science for the anthropocene

    2022

  • Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate

    2022

  • Autonomous Scientific Observations: Building Reproducible Research Today and Into the Future

    2021

  • On the Use of Standardized Multi-Temporal Indices for Monitoring Disturbance and Ecosystem Moisture Stress across Multiple Earth Observation Systems in the Google Earth Engine

    2021

  • UAS-Based Plant Phenotyping for Research and Breeding Applications

    2021

  • Lessons learned designing the HydroGEN machine learning platform for hydrologic exploration: a story of collaboration between hydrologic scientists, software developers …

    2021

  • Movement of sediment through a burned landscape: Sediment volume observations and model comparisons in the San Gabriel Mountains, California, USA

    2021

  • Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community

    2021

  • Ten simple rules to cultivate transdisciplinary collaboration in data science

    2021

  • Rangewide habitat suitability analysis for the Mexican wolf (Canis lupus baileyi) to identify recovery areas in its historical distribution

    2021

  • Lessons learned designing the HydroGEN machine learning platform for hydrologic exploration: a story of collaboration between hydrologic scientists, software developers, machine learning researchers and water managers

    2021

  • Innovations to expand drone data collection and analysis for rangeland monitoring

    2021

  • Methods and Processes Using Small Unmanned Aircraft Systems: Sharing and Reusing Lessons Learned Across Scientific Disciplines

    2020

  • Extreme drought and adaptive resource selection by a desert mammal

    2020

  • Predicting phenotype from multi-scale genomic and environment data using neural networks and knowledge graphs

    2020

  • GenoPhenoEnvo Governance and Operations Manual

    2020

  • cyverse-vice/jupyterlab-scipy: Second Release

    2020

  • Emergent grand challenges from the 2019 NEON Science Summit

    2020

  • The rockerverse: packages and applications for containerization with r

    2020

  • The Rockerverse: Packages and Applications for Containerisation with R

    2020

  • Wrestling the four V's of small unoccupied aerial systems data in the cloud and on national cyberinfrastructure

    2020

  • Ten simple rules for organizing a data science workshop

    2020

  • Do Androids Dream of Electric Sorghum?: Predicting Phenotypes from Multi-scale Genomic and Environmental Data Using Neural Networks and Knowledge Graphs

    2020

  • Allometric relationships between primary size measures and sapwood area for six common tree species in snow-dependent ecosystems in the Southwest United States

    2019

  • Appendix B: Estimating forage utilization with drone-based photogrammetric point clouds

    2019

  • Get a Grip on Your Data Science Tools with CyVerse VICE (Visual Interactive Computing Environment)

    2019

  • Is a Picture Worth a Thousand Measurements? A Comparison of Drone Systems and Data Processing Methods for Rangeland Vegetation Monitoring

    2019

  • Estimating Forage Utilization with Drone-Based Photogrammetric Point Clouds

    2019

  • Modeling riparian restoration impacts on the hydrologic cycle at the Babacomari Ranch, SE Arizona, USA

    2019

  • Multi-disciplinary Insights in to the Effects of Vegetation Change on Hydrologic Partitioning.

    2018

  • Jetstream—Early operations performance, adoption, and impacts

    2018

  • CyVerse Tutorials for NEON Data Science Institute 2018

    2018

  • UAV hyperspectral and lidar data and their fusion for arid and semi-arid land vegetation monitoring

    2018

  • Which way do you lean? Using slope aspect variations to understand Critical Zone processes and feedbacks

    2018

  • A net ecosystem carbon budget for snow dominated forested headwater catchments: linking water and carbon fluxes to critical zone carbon storage

    2018

  • Considerations for achieving cross-platform point cloud data fusion across different dryland ecosystem structural states

    2018

  • CyVerse: a ten-year perspective on cyberinfrastructure development, collaboration, and community building

    2018

  • The Dual Role of Vegetation as a Constraint on Mass and Energy Flux into the Critical Zone and as an Emergent Property of Geophysical Critical Zone Structure

    2017

  • Topographically driven differences in energy and water constrain climatic control on forest carbon sequestration

    2017

  • UAV hyperspectral and lidar data and their fusion for arid and semi‐arid land vegetation monitoring

    2017

  • Fusing tree-ring and forest inventory data to infer influences on tree growth

    2017

  • Asymmetry of weathering-limited hillslopes: the importance of diurnal covariation in solar insolation and temperature

    2017

  • CyVerse Data Commons: lessons learned in cyberinfrastructure management and data hosting from the Life Sciences

    2017

  • Tree morphologic plasticity explains deviation from metabolic scaling theory in semi-arid conifer forests, southwestern USA

    2016

  • Supporting data for" Morphologic plasticity and increasing competition explain deviation from the Metabolic Scaling Theory in semi-arid conifer forests, southwestern USA"

    2016

  • Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study of project-based learning and …

    2016

  • Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study of project-based learning and cyberinfrastructure concepts

    2016

  • Corrigendum to" Laser vision: lidar as a transformative tool to advance critical zone science" published in Hydrol. Earth Syst. Sci., 19, 2881–2897, 2015

    2015

  • Scale-dependent interactions between vegetation, landscape, and climate: How critical zone structure influences ecohydrological reslience in a rapidly changing world

    2015

  • Laser vision: lidar as a transformative tool to advance critical zone science

    2015

  • Scaling Critical Zone analysis tasks from desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study for project based …

    2015

  • Topographic Control of Aboveground Carbon Pools Across an Environmental Gradient, Eastern Slope of the Rocky Mountains, Colorado.

    2015

  • Discriminating disturbance from natural variation with LiDAR in semi‐arid forests in the southwestern USA

    2015

  • Working Paper 35: Carbon Cycling in Southwestern Forests: Reservoirs, Fluxes, and the Effects of Fire and Management

    2015

  • Corrigendum to" Laser Vision: Lidar as a Transformative Tool to Advance Critical Zone Science" Published in Hydrol. Earth Syst. Sci., 19, 2881-97, 2015

    2015

  • Quantifying topographic and vegetation effects on the transfer of energy and mass to the critical zone

    2015

  • LiDAR-derived snowpack data sets from mixed conifer forests across the Western United States

    2014

  • Estimating individual tree mid- and understory rank-size distributions from airborne laser scanning in semi-arid forests

    2014

  • Application of metabolic scaling theory to reduce error in local maxima tree segmentation from aerial LiDAR

    2014

  • Discriminating Natural Variation from Legacies of Disturbance in Semi-Arid Forests, Southwestern USA

    2014

  • Quantifying topographic, and vegetation, and disturbance effects on the transfer of energy and mass to the critical zone

    2014

  • Validating a novel lidar distributional approach for forest floor fuel load mapping: Eastern hardwoods vs. western spruce-fir environments

    2013

  • Riparian vegetation characterization of the Lower Santa Cruz River and Ciénega Creek through remotely sensed multi-sensor data fusion

    2013

  • Cordilleran forest scaling dynamics and disturbance regimes quantified by aerial LiDAR

    2013

  • Do fire disturbances account for missing C in snow dominated headwater catchments in NM?

    2013

  • Estimating Catchment-Scale Snowpack Variability in Complex Forested Terrain, Valles Caldera National Preserve, NM

    2011

  • Distinguishing grass from ground using LiDAR: Techniques and applications

    2011

  • LiDAR-based estimation of forest floor fuel loads using a novel distributional approach

    2011

  • Comparing selected fire regime condition class (FRCC) and LANDFIRE vegetation model results with tree-ring data

    2010

  • Growth and Demography of Pinaleno High Elevation Forests

    2010

  • Reconstructing landscape pattern of historical fires and fire regimes

    2010

  • Coevolution of topography, hydrology, soil development, and vegetation in sky islands of the southwestern United States

    2010

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