Jordan A. Caraballo‐Vega

    flowchart
    A[Jordan A. Caraballo‐Vega]
    AC["Associated Concepts (25)"]
    AW["Authored Works (7)"]
    CA["Linked Co-Authors (8)"]
    CI["Linked Collaborating Institutions (7)"]
    A== dcterms:relation ==>AC
    AW== author ==>A
    AW== author ==>CA
    AW== affil ==>CI
    click AC "#associated-concepts"
    click AW "#authored-works"
    click CA "#co-authors"
    click CI "#collaborating-institutions"

    NI["add incoming edge"]
    NO["add outgoing edge"]
    NI-- ? -->A
    A-- ? -->NO
    click NI "#add-incoming-edge"
    click NO "#add-outgoing-edge"
    style NI stroke-width:2px,stroke-dasharray: 5 5
    style NO stroke-width:2px,stroke-dasharray: 5 5

ORCiD

https://orcid.org/0000-0001-9125-5591

OpenAlex ID

https://openalex.org/A5029803620 (API record)

Associated Concepts [?]

• Computer science
• Remote sensing
• Physics
• Geology
• Geography
• Engineering
• Land use
• Land cover
• Ecology
• Civil engineering
• Biology
• Artificial intelligence
• Mathematics
• Machine learning
• Computer vision
• Statistics
• Optics
• Operating system
• Oceanography
• Meteorology
• Environmental science
• Economics
• Database
• Convolutional neural network
• Cartography

Authored Works

sorted by decreasing year, and then by display-name

• Training Strategies of CNN for Land Cover Mapping with High Resolution Multi-spectral Imagery in Senegal
• Quantifying the Reliability and Robustness of Random Forest and Boosted Decision Tree Models with Large Training Data Sets
• Mapping Land Cover Change Across Senegal with Convolutional Neural Networks and Very High Resolution Data
• Machine Learning Approach to Crater Mapping on Enceladus
• Developing High Spatiotemporal Resolution Inundation Maps to Detect Rapid Changes in Surface Hydrology and Methane Emissions across Ecosystem Gradients in Alaska
• An ensemble of Convolutional Neural Networks for Land Use Land Cover Classification in the Amhara Region of Northwest Ethiopia using Very High-Resolution Commercial Satellite Imageries
• Advances in Vegetation Height Estimates from WorldView Multispectral Imagery Using Deep Learning

Linked Co-Authors

• Andrew Mullen
• Brendan M. Rogers
• C. Elder
• Charles E. Miller
• Nathan Thomas
• S. W. Cooley
• Susan M. Natali
• Woubet G. Alemu

Linked Collaborating Institutions

• George Mason University, Virginia
• Jet Propulsion Laboratory
• Montana State University, Bozeman
• NASA Goddard Space Flight Center, Maryland
• Science Systems and Applications Inc., Maryland
• University of Maryland, College Park
• University of Oregon

Add Incoming Edge

Login via ORCiD to contribute.

Add Outgoing Edge

Login via ORCiD to contribute.