Collaborative Research: Adaptation of Populations to Heightened Flood Incidence: Satellite Data and Experimental Evaluations of Early Warning Systems

Information

  • NSF Award
  • 2417723
Owner
  • Award Id
    2417723
  • Award Effective Date
    8/15/2024 - 3 months ago
  • Award Expiration Date
    7/31/2026 - a year from now
  • Award Amount
    $ 417,787.00
  • Award Instrument
    Standard Grant

Collaborative Research: Adaptation of Populations to Heightened Flood Incidence: Satellite Data and Experimental Evaluations of Early Warning Systems

This award will fund a research project that investigates how farmers in low-income settings adapt to increased risk of flooding, the effects of these flood episodes on health, and how these farmers access and use information on accurate flood forecast. Climate change is increasing flood risks globally, impacting one in four individuals, but not much is known about how agriculture adapts to increased flood risk and this research makes significant contribution to our understanding of how farmers adapt to flood risks. The proposed research consists of two projects. The first project will combine the Global Flood Database, NASA’s MODIS satellite imagery and Enhanced Vegetation Index to study the impact of flooding on agriculture with a focus on how farmers change their farming practices, crop choices, and the health of affected people. The second project will study how farmers access and use accurate flood forecasts by combining a community-based outreach program with Google’s flood forecasting system. The results of this research will provide important inputs into policies to increase resilience in flood-prone regions and provide guidance on U.S. foreign aid policies. <br/><br/>This award will fund research that uses two projects to investigate the effects of flooding on agricultural practices and livelihoods of people in low-income settings. The first project will combine data from the Global Flood Database, NASA’s MODIS satellite imagery, and the Enhanced Vegetation Index to assess the impacts of flooding on agriculture, focusing on land use dynamics by farmers. The PIs will study the contemporaneous and long-term impact of flooding on agricultural production, crop choice, and whether flooding’s effect on agriculture varies by its timing. The second project expands on an existing project that enhances the reach and impact of flood early warning systems (EWS) in low-income settings. To do this, the PIs will combine Google’s advanced flood-forecasting technology with a community-based alert system. The community-based outreach will be randomized for treatment and control communities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Kwabena Gyimah-Brempongkgyimahb@nsf.gov7032927466
  • Min Amd Letter Date
    8/7/2024 - 3 months ago
  • Max Amd Letter Date
    8/7/2024 - 3 months ago
  • ARRA Amount

Institutions

  • Name
    Yale University
  • City
    NEW HAVEN
  • State
    CT
  • Country
    United States
  • Address
    150 MUNSON ST
  • Postal Code
    065113572
  • Phone Number
    2037854689

Investigators

  • First Name
    Rohini
  • Last Name
    Pande
  • Email Address
    rohini.pande@yale.edu
  • Start Date
    8/7/2024 12:00:00 AM

Program Element

  • Text
    Economics
  • Code
    132000
  • Text
    Decision, Risk & Mgmt Sci
  • Code
    132100

Program Reference

  • Text
    GRADUATE INVOLVEMENT
  • Code
    9179