WFP is the world's largest humanitarian agency fighting hunger worldwide, delivering food assistance in emergencies and working with communities to improve nutrition and build resilience. Each year, WFP assists some 80 million people in around 75 countries.
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This is an interferogram of the Hawaii magnitude 6.9 earthquake followed by multiple volcanic eruptions of Kilauea volcano. Data source is Sentinel 1A C-band Synthetic Aperture Radar Interferometric Wide Swath provided by the European Space Agency. Best viewed in Google Earth Pro.
This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets that have been published on a separate dataset (Democratic Republic of the Congo, streets and pathways).
It also includes the latest information on access constraints published by the Logistics Cluster in D.R.C.
CAUTION: The dataset is quite heavy (~30Mb). To download only a subset of it (by bounding box or filtering the data), please go to the WFP geonode page of this dataset : http://geonode.wfp.org/layers/ogcserver.gis.wfp.org%3Ageonode%3Acod_trs_roads_osm#
This dataset is an extraction of the WFP database following UNSDI-T standards. See "Attributes" tab for more information on the data structure. Roads are displayed here according to their functional class (fclass). It contains as well information on current status of the roads, as per latest Road Access Constraints map from Logistics Cluster. The dataset was updated on 11 April 2017.
For more information on attributes, please go check the layer on WFP geonode:
This dataset is based on an extract from OpenStreetMap.
In addition, it contains access constraints status in the column "status" and is edited regularly with information received by partners of the Logistics cluster in Mozambique. This dataset is the same as used on the Logistics Cluster Access Constraints map published here: https://logcluster.org/sector/cyclone-idai19
Archive of Global Tropical Cyclone Tracks Tracks from 1980 to May 2019. Data provided by NOAA International Best Track Archive for Climate Stewardship (IBTrACS). Original data and metadata are available here (https://www.ncdc.noaa.gov/ibtracs/index.php?name=ib-v4-access). For data updates after May 2019, please visit the ncdc website.
Updated April 5, 2019
| Dataset date: Oct 14, 2014
This dataset updates: Never
This layer contains airports locations. This dataset brings together various public sources such as OpenStreetMap or ourairports.com with WFP logistics information. It is updated regularly with inputs from WFP aviation unit but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy.
This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest.
Feel free to contribute to this dataset by contacting firstname.lastname@example.org.
Updated July 31, 2018
| Dataset date: Jul 20, 2018
This dataset updates: Every six months
This is a standing water (possible inundated/flooded areas) in tarlac, pampanga and parts of pangasinan Philippines due to several typhoons and habagat (July 2018). Data were processed using Sentinel 1A GRD data (July 20, 2018) to map out areas with standing water . Thanks to ESA Copernicus program for the Sentinel 1 data and Google for their cloud computing reource. This was processed in Google Earth Engine. For more detailed information, please contact email@example.com or firstname.lastname@example.org
Updated August 1, 2018
| Dataset date: Jul 29, 2018
This dataset updates: Every six months
An Interferogram of the devastating earthquake in Indonesia last July 29, 2018 with a magnitude of 6.4. Data were processed using 2 Sentinel 1 data using repeat pass interferometry. One cycle (cold to hot color) means half of the radar wavelength which is approximately 3.5 - 7.5 cm wavelength. The data shows vertical ground displacement with respect to the satellites line of sight (LOS).