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Kenya Food Security & Agriculture II: Utilizing NASA Earth Observations to Enhance Drought Warning Systems and Develop Capacity to Use the RHEAS Model in KenyaTwenty-three counties in Kenya experience frequent drought, which damages agricultural productivity and threatens the health and well being of millions. NASA DEVELOP partnered with NASA SERVIR, the Regional Centre for Mapping of Resources for Development (RCMRD) and Kenya’s National Drought Management Authority (NDMA) to enhance drought-detection capacity using NASA Earth observations. Currently, the NDMA publishes monthly Early Warning Bulletins with drought conditions for each arid or semi-arid county in Kenya. These bulletins utilize the Vegetation Condition Index (VCI) from the Moderate Resolution ImagingSpectroradiometer (MODIS) as well as a variety of biophysical, social and economic drought indicators, but do not allow for advanced forecasting. To improve drought-monitoring capabilities, the team created a Combined Drought Indicator (CDI) using the Regional Hydrologic Extremes Assessment System (RHEAS) model and data from Aqua and Terra MODIS and the National Centers for Environmental Prediction. The CDI combined precipitation anomalies, soil moisture anomalies, evaporative stress, and VCI according to weights determined by principal component analysis. To evaluate the performance of the CDI across Kenya, the team compiled a dataset of drought events from historical reports and the NDMA’s records. Results suggested that the CDI detected drought earlier thanVCI alone. However, more validation is needed to ensure that the CDI accurately and consistently detects drought earlier than current warning systems. In order to better understand the behavior of individual indices and the potential for earlier drought detection, the team also conducted a time-lag analysis. The team found that VCI responds to drought, on average, one month later than most other indices included in the CDI, suggesting that incorporating additional indices could improve early drought warning systems in Kenya.
Document ID
20205000954
Acquisition Source
Langley Research Center
Document Type
Other - DEVELOP Spring 2020 Technical Report
Authors
Sam Tatum
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Caley Feemster
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Jennifer Heeth
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Sabine Nix
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
April 16, 2020
Publication Date
April 27, 2020
Publication Information
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNL16AA05C
WBS: 970315.02.02.01.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Professional Review
Keywords
Food Security & Agriculture
DEVELOP Technical Report
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