Open AccessSpatial Evaluation of Droughts Using Selected Satellite-based Indices in the Upper Tana River Watershed, Kenya
Author(s) -
Harriette A. Okal,
Felix K. Ngetich,
Jeremiah M. Okeyo
Publication year - 2019
Publication title -
international journal of plant and soil science
Language(s) - English
Resource type - Journals
ISSN - 2320-7035
DOI - 10.9734/ijpss/2019/v30i130164
Subject(s) - advanced very high resolution radiometer , watershed , environmental science , normalized difference vegetation index , precipitation , climatology , flash flood , satellite , agriculture , physical geography , geography , remote sensing , meteorology , climate change , flood myth , geology , machine learning , computer science , engineering , aerospace engineering , oceanography , archaeology
Aims: To identify the most appropriate drought indices for the identification and monitoring of historical meteorological and agricultural drought incidences and to explore the spatial characteristics of these droughts.
Study design: GIS-based empirical research design.
Place and Duration of Study: Upper Tana River Watershed, Kenya drought analysis covering a period of 1981 to 2013.
Methodology: National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) provided raster maps for Normalized Difference Vegetation Index (NDVI) agricultural drought index, while GeoClim databased through Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) was used for retrieval of raster maps for Standardized Precipitation Index (SPI) meteorological drought index. ArcGIS version 10.3.1 facilitated image enhancement and correction for better visualization and interpretation.
Results: Agricultural drought years were in 1983, 1987, 1993, 1996, 2000, 2004, 2005, 2008, and 2009 while meteorological drought years were in 1983, 1984, 1992, 1996, 1999, 2002, 2003, and 2011.
Conclusion: Meteorological drought triggered events of agricultural drought. Both droughts showed a widespread pattern and were found to manifest at relatively same intervals during the study period.