DOI: 10.6084/m9.figshare.19142177
title: Satellite Earth Observations for Malaria Epidemiology in Ethiopia

description: This dataset contains daily woreda (district) level summaries of remotely sensed environmental indices for all of Ethiopia from 2002-2021.The indices characterize precipitation, land surface temperature, and spectral indices including the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), soil-adjusted vegetation index (SAVI), and normalized difference water index (NDWI). For the land surface temperature variables and spectral indices, additional fields contain information about the numbers of valid pixels used to calculate the woreda summaries from the original gridded datasets.<br>The data consists of three comma delimited files that contain the summarized environmental indices and a ESRI shapefile that contains the woreda boundaries and codes.<br><b>export_precip_data_2002-01-01_2021-12-31.csv<br></b>NewPCODE: Unique alphanumeric code for each woredaR_NAME: Region nameZ_NAME: Zone nameW_NAME: Woreda nameyear: Year observationdoy: Day of year of observationtotprec: Total daily precipitation (mm/hr)<br><b>export_lst_data_2002-01-01_2021-12-31.csv<br></b>NewPCODE: Unique alphanumeric code for each woredaR_NAME: Region nameZ_NAME: Zone nameW_NAME: Woreda nameyear: Year observationdoy: Day of year of observationlst_day: Daytime land surface temperature (degrees C)lst_night: Nighttime land surface temperature (degrees C)lst_mean: Mean land surface temperature (degrees C)pixels_lstd: Number of valid pixels used to compute lst_daypixels_lstn: Number of valid pixels used to compute lst_nightpixels_lstm: Number of valid pixels used to compute lst_meanpixels_total: Total number of pixels in the woreda<br><b>export_spectral_data_2002-01-01_2021-12-31.csv<br></b>NewPCODE: Unique alphanumeric code for each woredaR_NAME: Region nameZ_NAME: Zone nameW_NAME: Woreda nameyear: Year observationdoy: Day of year of observationndvi: Normalized difference vegetation indexsavi: Soil-adjusted vegetation indexevi: Enhanced vegetation indexndwi5: Normalized difference water index (band 5)ndwi6: Normalized difference water index (band 6)pixels_ndvi: Number of valid pixels used to compute ndvi, savi, evi, ndwi5, and ndwi6pixels_total: Total number of pixels in the woreda<br><b>Eth_Admin_Woreda_2019_20200702.shp<br></b><b>Eth_Admin_Woreda_2019_20200702.shx<br></b><b>Eth_Admin_Woreda_2019_20200702.dbf<br></b><b>Eth_Admin_Woreda_2019_20200702.prj</b><br>NewPCODE: Unique alphanumeric code for each woredaR_NAME: Region nameZ_NAME: Zone nameW_NAME: Woreda name<br>Precipitation data were obtained from the NASA Global Precipitation Mission (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) datasets (GPM_3IMERGHH_V06 and GPM_3IMERGHH_06). These data have a pixel size of 0.1 degrees and are available at half-hour invervals. They were aggregated to generate daily precipitation totals.<br>Land surface temperature data were obtained from the NASA MOderate Resolution Imaging Spectroradiometer (MODIS) Terra 8-day product (MOD11A2). These data have a pixel size of 1000 m and are summarized as 8-day composites. They were disaggregated to daily values and used to summarize day, night, and mean of day and night temperatures.<br>Spectral indices were calculated using the NASA MODIS Nadir BRDF-Adjusted Reflectance (NBAR) product. These data have a pixel size of 500 m and are summarized daily using a 16-day moving window composite. They were used to calculate the following indices as functions of the MODIS spectral bands.<br>NDVI = (B2 - B1)/(B2 + B1)<br>SAVI = (1.5 * (B2 - B1)) / (B2 + B1 + 0.5)<br>EVI = (2.5 * (B2 - B1)) / (B2 + 6 * B1 - 7.5 * B3 + 1)<br>NDWI5 = (B2 - B5) / (B2 + B5)<br>NDWI6 = (B2 - B6) / (B2 + B6)<br><br><br><br><br>