Qu Zhou

    flowchart
    A[Qu Zhou]
    AC["Associated Concepts (25)"]
    AW["Authored Works (7)"]
    CA["Linked Co-Authors (3)"]
    CI["Linked Collaborating Institutions (2)"]
    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/0000-0002-7710-8541

OpenAlex ID

https://openalex.org/A5038660222 (API record)

Associated Concepts [?]

• Geography
• Environmental science
• Physics
• Engineering
• Biology
• Geology
• Ecology
• Remote sensing
• Optics
• Astronomy
• History
• Archaeology
• Satellite
• Quantum mechanics
• Computer science
• Aerospace engineering
• Mathematics
• Statistics
• Oceanography
• Agriculture
• Reflectivity
• Philosophy
• Computer vision
• Artificial intelligence
• Agronomy

Authored Works

sorted by decreasing year, and then by display-name

• Quantifying field-level cover cropping in the U.S. Midwest using multi-source satellite data
• Detecting tillage practices in the U.S. Midwest using multi-source satellite data
• Cross-scale sensing of field-level crop residue cover and cover crops: integrating field observations, airborne hyperspectral imaging, and satellite data
• Advancing Airborne Hyperspectral Data Processing for Sustainable Agriculture with Parsl
• AI-empowered hyperspectral sensing advances agricultural ground truthing across scales
• Mapping cover crop practices at the field level across the U.S. Corn Belt since 2001 to the present using multi-source satellite Earth Observation data
• Airborne hyperspectral imaging of cover crop outcomes and tillage intensity in croplands by machine learning and radiative transfer modeling

Linked Co-Authors

• Bin Peng
• Daniel S. Katz
• Kaiyu Guan

Linked Collaborating Institutions

• University of Illinois, Urbana-Champaign
• University of Wisconsin, Madison

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