KMap
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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
- 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 - Collaborative Research: High-Resolution Aerial Forest Mapping Infrastructure and Database to Support Forest and Disturbance Ecology Research
Principal Investigator (PI)
2022
$45.8K
Active - Collaborative Research: OpenDendro - Advanced Open-Source Tools for Paleoenvironmental Reconstruction
Co-Investigator (COI)
2021
$143.1K
Active - 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 - Collaborative Research: Converging Genomics, Phenomics, and Environments Using Interpretable Machine Learning Models
Co-Investigator (COI)
2019
$483.0K
Active - CyVerse: Cyberinfrastructure for the Life Sciences
Co-Investigator (COI)
2018
$15.2M
Active - TRIPODS+X:VIS: Data Science Pathways for a Vibrant TRIPODS Commons at Scale
Key Personnel (KP)
2018
$199.9K
Active - Collaborative Research:CyberTraining:CIU: Towards Distributed and Scalable Personalized Cyber-Training
Principal Investigator (PI)
2018
$60.6K
Active - Program Income for Account 3028870 {CyVerse: Cyberinfrastructure for the Life Sciences}
Co-Investigator (COI)
2018
$48.6K
Active - 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
- Coevolution of nonlinear trends in vegetation, soils, and topography with elevation and slope aspect: A case study in the sky islands of southern Arizona
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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