product of type eo3
Water Observations from Space Annual Statistics

Extending July 1984 to July 2018
8,237 datasets

Location (from sampling)

  • s3://deafrica-data/usgs/c1/wofs_summary/2017/WOFS_102022_13_3_2017_summary.yaml
  • s3://deafrica-data/usgs/c1/wofs_summary/2017/WOFS_102022_7_-1_2017_summary.yaml
  • s3://deafrica-data/usgs/c1/wofs_summary/2018/WOFS_102022_-25_13_2018_summary.yaml


cloud_cover creation_time 2019-08-08T00:00:00 dataset_maturity eo_gsd eo_sun_azimuth eo_sun_elevation fmask_clear fmask_cloud_shadow fmask_snow fmask_water format GeoTIFF gqa gqa_abs_iterative_mean_x gqa_abs_iterative_mean_xy gqa_abs_iterative_mean_y gqa_abs_x gqa_abs_xy gqa_abs_y gqa_cep90 gqa_iterative_mean_x gqa_iterative_mean_xy gqa_iterative_mean_y gqa_iterative_stddev_x gqa_iterative_stddev_xy gqa_iterative_stddev_y gqa_mean_x gqa_mean_xy gqa_mean_y gqa_stddev_x gqa_stddev_xy gqa_stddev_y instrument label platform product_family

Searchable fields

lat double-range Latitude range
lon double-range Longitude range
region_code string Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share.
time datetime-range Acquisition time range


count_wet / wet int16 with units 1 and nodata -999
count_dry / dry int16 with units 1 and nodata -999
frequency / freq float32 with units 1 and nodata NaN

Storage Parameters

crs ESRI:102022 resolution x 30 y -30 tile_size x 150000.0 y 150000.0