Beth Tellman

    flowchart
    A[Beth Tellman]
    AC["Associated Concepts (25)"]
    AW["Authored Works (24)"]
    CA["Linked Co-Authors (9)"]
    CI["Linked Collaborating Institutions (19)"]
    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/0000-0003-3026-6435

OpenAlex ID

https://openalex.org/A5087383776 (API record)

Associated Concepts [?]

• Geography
• Computer science
• History
• Archaeology
• Philosophy
• Geology
• Theology
• Flood myth
• Biology
• Physics
• Environmental science
• Engineering
• Economics
• Ecology
• Remote sensing
• Political science
• Law
• Psychology
• Environmental resource management
• Astronomy
• Oceanography
• Mathematics
• Business
• Aerospace engineering
• Machine learning

Authored Works

sorted by decreasing year, and then by display-name

• Validating surface water detection methods using a hand-labeled PlanetScope dataset
• Urban Flood Dataset: A globally representative satellite-based labeled dataset of flooding in urban settings
• Understanding flood risk from space: opportunities to adapt to changing risk
• Training and validating deep learning models for urban flood mapping using public and commercial satellite sensors
• Towards Mapping Clandestine Infrastructure in Central America's Protected Areas Affected By Narco-trafficking Using Multi-sensor Data Fusion and Deep Learning
• The NASA GSFC Near Real Time Flood Mapping System
• Surface water detection from passive microwave data during flood events using deep learning
• Satellite image detection of blue roofs to monitor coastal storm damage and recovery
• Satellite Fusion Based Historical Inundation Estimates for Accurate Return Period Estimates in Bangladesh
• Investigating the impact of introducing submergence-tolerant Aman rice in Bangladesh pre and post 2011
• Flooding in the desert: Assessing the value of satellite observations of inundation from the North American Monsoon with the Pima County Regional Flood Control District
• Efficient Recognition of Potential Landslides using Open Access Multi-Source Remotely Sensed Images with Deep Learning Approaches
• Earth observation to track flood recovery and adaptation: a survey of expert and practitioner insights and a systematic literature review
• Assessing Deep Learning Models Trained on Public versus Commercial Data using FloodPlanet, a High-Resolution Commercial Imagery Flood Dataset, for Inundation Detection
• Assessing Danger Levels in Flood Early Warning in Sylhet, Bangladesh: A Comparison Between Hydrological and Remote Sensing Based Methods
• Whom does satellite data empower or Disempower? Can it ultimately cause more harm than good? Reflections on using satellites to map floods, informal urban settlements, and forest loss caused by narcotrafficking.
• Understanding the dynamics of flood inundation extent through fusion of satellite based passive microwave, active microwave and optical imagery
• Towards Mapping Clandestine Infrastructure in Central Americas protected areas affected by narco-trafficking using Multi-sensor Data Fusion and Deep Learning
• Toward mapping flood impacts in urban areas using multi-sensor satellite data fusion
• Roads, Deforestation, and the Evolution of a Narco-Trafficking Economy in Eastern Honduras
• Leveraging historical and near-real-time satellite data to mitigate flood risk and build resilience
• High resolution imagery to train and validate deep learning models of inundation extent for multiple satellite sensors
• Developing a Parametric Flood Insurance Trigger using Multiple Satellite Sensors in Louisiana
• Cost-Effective Global Flood Segmentation using Convolutional Neural Networks, Sentinel-1 and Active Learning

Linked Co-Authors

• Albert J. Kettner
• Caitlyn Hall
• E. M. Demaria
• Hannah K. Friedrich
• Jonathan Frame
• Pierre Gentine
• Subit Chakrabarti
• Upmanu Lall
• V. Lakshmi

Linked Collaborating Institutions

• Arizona State University
• Bangladesh University of Engineering and Technology, India
• CAS, Institute of Remote Sensing and Digital Earth, Beijing
• Columbia University, New York
• Lamont-Doherty Earth Observatory
• NASA Goddard Space Flight Center, Maryland
• NASA HQ
• NASA Marshall Space Flight Center
• Northern Arizona University
• Texas State University San Marcos
• The Ohio State University
• University of Alabama, Huntsville
• University of Alabama, Tuscaloosa
• University of Arizona
• University of Colorado, Boulder
• University of Connecticut
• University of Maryland, Baltimore County
• University of South Carolina
• University of Virginia

Add Incoming Edge

Login via ORCiD to contribute.

Add Outgoing Edge

Login via ORCiD to contribute.