WFP - World Food Programme

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  • Time Period of the Dataset [?]: December 01, 2015-May 01, 2017 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    100+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: May 01, 2016-September 01, 2016 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    100+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: January 01, 2015-February 01, 2016 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    100+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: June 01, 2016-June 01, 2017 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    100+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: March 01, 2015-June 01, 2018 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    100+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: May 01, 2016-May 01, 2016 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    100+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: June 01, 2015-February 01, 2019 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    100+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: June 01, 2016-September 01, 2019 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    100+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: May 01, 2015-November 01, 2015 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    100+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
  • Time Period of the Dataset [?]: June 20, 2020-June 30, 2020 ... More
    Modified [?]: 10 June 2020
    Dataset Added on HDX [?]: 10 June 2020
    This data combines satellite detected water (flooding) for Bangladesh and north-east India during cyclone AMPHAN. This flood raster includes data from ESA Sentinel-1, JAXA ALOS PALSAR 2, TerraSAR-X, MODIS, Landsat and Sentinel 1. The organisations involved in the processing of the data are WASDI Fadeout, Sentinel-ASIA Asian Institute of Technology, DLR German Aerospace Agency, Earth Observatory of Singapore (EOS), NASA Disaster and Bob Adler from University of Colorado.
    100+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: November 29, 2019-November 29, 2019 ... More
    Modified [?]: 29 November 2019
    Dataset Added on HDX [?]: 29 November 2019
    A polygon of the Philippine Area of Responsibility (PAR) from PAGASA
    300+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: May 25, 2019-May 25, 2019 ... More
    Modified [?]: 10 June 2019
    Dataset Added on HDX [?]: 10 June 2019
    Database of Global Landslide Catalog from NASA collected from 1970 - 2019. It was generated using news feeds and is mostly capturing rain-induced landslide events. More information on metadata and original update source here: https://catalog.data.gov/dataset/global-landslide-catalog-export
    100+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: WFP - Landslide Risk
  • Time Period of the Dataset [?]: May 25, 2019-May 25, 2019 ... More
    Modified [?]: 5 June 2019
    Dataset Added on HDX [?]: 25 May 2019
    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.
    600+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 2 May 2019
    Dataset Added on HDX [?]: 26 September 2018
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
    80+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: December 31, 2010-December 31, 2010 ... More
    Modified [?]: 24 April 2019
    Dataset Added on HDX [?]: 18 April 2019
    This data is from Darthmouth Flood Observatory (DFO) Global Active Archive of Large Flood Events. It contains more than 4000 records of flooding events globally from 1985 - 2010.
    200+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: WFP - Flood Risk
  • Time Period of the Dataset [?]: March 21, 2019-March 21, 2019 ... More
    Modified [?]: 22 March 2019
    Dataset Added on HDX [?]: 22 March 2019
    This dataset is a compilation of various sources such as Copernicus, Sentinel-1 and Atmospheric and Environmental Research, A Verisk Business, & African Risk Capacity using several days to calculate the maximum flood extent for the whole event.
    200+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: May 15, 2012-July 15, 2018 ... More
    Modified [?]: 9 December 2018
    Dataset Added on HDX [?]: 26 September 2018
    This dataset contains Food Prices data for Lao People's Democratic Republic. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
    100+ Downloads
    This dataset updates: Every week
  • Time Period of the Dataset [?]: January 15, 2005-October 15, 2018 ... More
    Modified [?]: 9 December 2018
    Dataset Added on HDX [?]: 26 September 2018
    This dataset contains Food Prices data for Cote d'Ivoire. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
    100+ Downloads
    This dataset updates: Every week
  • Time Period of the Dataset [?]: October 07, 2018-October 07, 2018 ... More
    Modified [?]: 10 October 2018
    Dataset Added on HDX [?]: 10 October 2018
    Sentinel 1 interferogram of Haiti Magnitude 5.9 earthquake on Oct 7, 2018. Images used were 26 September and 8 October 2018.
    30+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: October 02, 2018-October 02, 2018 ... More
    Modified [?]: 4 October 2018
    Dataset Added on HDX [?]: 4 October 2018
    Imagery of Palu City (East) Indonesia after the 7.5 magnitude earthquake followed by tsunami courtesy of Digital Globe. Please see license below for attribution and limitations. Data extracted from OpenAerialMap. https://www.digitalglobe.com/opendata/indonesia-earthquake-tsunami/license
    60+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: October 02, 2018-October 02, 2018 ... More
    Modified [?]: 4 October 2018
    Dataset Added on HDX [?]: 4 October 2018
    Imagery of Palu City (West) Indonesia after the 7.5 magnitude earthquake followed by tsunami courtesy of Digital Globe. Please see license below for attribution and limitations. Data extracted from OpenAerialMap. https://www.digitalglobe.com/opendata/indonesia-earthquake-tsunami/license
    70+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: September 19, 2018-September 19, 2018 ... More
    Modified [?]: 19 September 2018
    Dataset Added on HDX [?]: 19 September 2018
    Generated in Google Earth Engine using Sentinel 1 A data.
    40+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: July 29, 2018-July 29, 2018 ... More
    Modified [?]: 1 August 2018
    Dataset Added on HDX [?]: 1 August 2018
    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).
    30+ Downloads
    This dataset updates: Every six months
  • Time Period of the Dataset [?]: July 20, 2018-July 20, 2018 ... More
    Modified [?]: 31 July 2018
    Dataset Added on HDX [?]: 31 July 2018
    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 michael.manalili@wfp.org or michaelandrew.manalili@gmail.com
    50+ Downloads
    This dataset updates: Every six months
  • Time Period of the Dataset [?]: July 01, 2017-July 31, 2017 ... More
    Modified [?]: 31 July 2018
    Dataset Added on HDX [?]: 22 July 2018
    A radar interferogram of the Magnitude 6.5 earthquake that hit Ormoc City Leyte last 6 July 2017. Data were processed using 2 Sentinel C-band Synthetic Aperture Radar data (Repeat Pass)
    50+ Downloads
    This dataset updates: Every year