Agricultural Drought Severity assessment using land Surface temperature and NDVI in Nakuru, Kenya

  • Presentation speakers
    John Kapoi Kipterer, GIS Analyst, RCMRD

    This study was focused on Nakuru, a tropical region in the Rift Valley of Kenya, bounded between latitude 0.28°N and 1.16°S, and longitude 36.27° E and 36.55°E. The main The main aim of this
    research is to assess the agricultural drought in high potential region of Kenya with an objective of mapping the agricultural drought severity levels, assessing the precipitation and normalized difference
    vegetation index deviation over its long term mean average in the region and to generate land surface temperature and emissivity maps to compare the surface temperature proportion during the drought
    and normal period.

    The data was obtained from NOAA-AVHRR, LANDSAT TM and ETM+ and was processed with ERDAS Imagine and GIS software of the Environmental Systems Research Institute (ESRI).The land
    surface temperature was derived using Planck’s radiative principles. The thermal band of Landsat TM was utilized to extract the radiance and brightness temperature. The brightness temperature was
    combined with surface emissivity to derive the land surface temperature (LST) while NDVI was derived from bands 3 and 4 and its result was divided by the LST to determine the moisture levels.
    The products were classified into five main classes to reflect the moisture levels. Rainfall and NDVI performance was also processed from NOAA AVHRR and long term mean established and compared
    with the specific year of study performance.

    The result of the study revealed that NOAA-AVHRR data offers very useful information in drought monitoring and early warning, LST and NDVI is useful in moisture level mapping that can be used
    to detect drought and the drought in Nakuru is characterized by both low and high temperatures that exacerbates the crop failure.

    Co-author(s):
    O.Alabi, ARCSSTEE

     

 

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