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  • 200+ Downloads
    Updated October 15, 2019 | Dataset date: Jan 1, 2019-Oct 12, 2019
    This dataset updates: Every month
    DTM’s Displacement Tracking tool collects and reports on displaced numbers of households on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. More than 3.6 million people are displaced as per August 2018 assessment.
  • 1400+ Downloads
    Updated October 14, 2019 | Dataset date: Oct 11, 2019
    This dataset updates: As needed
    DTM is tracking in/out movement of displaced people in 4 Provinces hit by IDAI cyclone.
  • 10+ Downloads
    Updated October 9, 2019 | Dataset date: Oct 7, 2019
    This dataset updates: As needed
    Based on requests from ECHO partners, REACH has worked to compile and map the location of cyclone shelters in Ukhia and Teknaf in the two Upazilas most affected by the Rohingya refugee influx of August 2017, in order to orient and inform humanitarian actors working in these locations. This database includes three lists of shelters: First, a list of shelters as designated on lists provided by the Cox's Bazar District Relief and Rehabilitation Officer (DRRO). Second, a list of cyclone shelters designated by the DRRO with additional structures reported to be shelters according to lists provided by the Cyclone Preparedness Programme (CPP), the District Disaster Managemen Plan (DDMP), Upazila Nirbahi Officers (UNOs), UNDP, IOM, UNHCR, WFP, the Local Government Engineering Department (LGED), and the Comprehensive Disaster Management Programme (CDMP). The third list mirrors the second list but also includes all of alternative names used by different agencies.
  • 100+ Downloads
    Updated September 17, 2019 | Dataset date: Aug 19, 2019-Sep 3, 2019
    This dataset updates: Every three months
    Tropical cyclone Idai, on March 15th 2019, brought torrential rains and winds affecting mostly the provinces of Manica, Sofala and Zambézia, In Mozambique, causing flash flooding and subsequent destruction. This dataset contains DTM assessments containing number of affected people, their needs, geographic locations etc.
  • Updated September 11, 2019 | Dataset date: Sep 28, 2017
    This data is by request only
    Hurricane Maria has affected the island of Puerto Rico, a US territory. Standby Task Force has been activated by the US Federal Emergency Management Agency (FEMA) to collect information on hospitals and medical facilities. Here are the collected data on the status of each facility.
  • Updated September 10, 2019 | Dataset date: Feb 4, 2018-Mar 2, 2018
    This data is by request only
    This data is the result of interviews conducted with 444 Dominicans impacted by Hurricane Maria. This round of interviews took place between 4 February and 2 March 2018, roughly four and a half months after Hurricane Maria made landfall. This is the third of five rounds of surveys in Dominica.
  • Updated September 10, 2019 | Dataset date: Sep 25, 2017
    This data is by request only
    This dataset contains links to 650+ geolocated and categorized images collated from social media sources depicting the damages on Dominica after Hurricane Maria. The images and videos are geolocated, and categorized according to severity of damage seen in the pictures. Please contact Standby Task Force for access to the dataset. coreteam AT standbytaskforce.com
  • 300+ Downloads
    Updated September 6, 2019 | Dataset date: Jul 22, 2019-Aug 8, 2019
    This dataset updates: Every three months
    Tropical Cyclone Idai made landfall in central Mozambique the night of 14 March 2019. On 27 March 2019, IOM in coordination with the Government of Mozambique carried out site assessments in 32 evacuation sites in the Beira district in the Sofala province of Mozambique one of the provinces affected by the storm.
  • 100+ Downloads
    Updated September 6, 2019 | Dataset date: Apr 7, 2019
    This dataset updates: As needed
    Malawi has experienced floods and sustained heavy rains caused by the tropical cyclone Idai weather system. IOM, in close coordination with the Government of Malawi through the Department of Disaster Management Affairs (DoDMA), conducted multi-sectoral location assessments in Chikwawa, Nsanje, Phalombe, Zomba districts. The dataset contains number of IDPs, households and their needs at sub-national level.
  • 400+ Downloads
    Updated August 29, 2019 | Dataset date: Jan 1, 2015
    This dataset updates: Never
    The tropical cyclonic strong wind model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry.
  • 30+ Downloads
    Updated June 5, 2019 | Dataset date: May 25, 2019
    This dataset updates: As needed
    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.
  • 50+ Downloads
    Updated May 6, 2019 | Dataset date: May 3, 2019-May 3, 2019
    This dataset updates: Never
    TSR gust footprint for Cyclonic Storm FANI - 2019-May 3 - Credit: Tropical Storm Risk/UCL Issued about 3 hours after it made landfall ~15km to the west of Puri in Odisha state, India. The gust footprint shows the magnitude and extent of the peak winds from FANI at landfall and immediately thereafter. Our model indicates that the peak gust at landfall was 150-160 mph and that gusts of 100 mph and over extend over a swathe width of ~100 km. The wind damage from FANI will almost certainly be severe. This damage will be exacerbated by heavy rains and an expected high storm surge. Unfortunately the forecast wind swathe for FANI is in line with the heavily populated cities of Bhubaneshwar and Cuttack.
  • 60+ Downloads
    Updated April 26, 2019 | Dataset date: Apr 23, 2019
    This dataset updates: Never
    Just over a month after the tropical cyclone IDAI-19 a new tropical storm is heading toward Comoros, Tanzania and the north of Mozambique called 'twentyfour-19'. The category 2 tropical storm is expected to make landfall between the 27th and the 28th of April 2018 south of Mocimboa da Praia town located in the province of Cabo Delgado in the extreme northern part of Mozambique. Based on data of the expected tropical cyclone path Twentyfour-19, wind speeds zones from Joint Research Centre (Issued on 23 April 2019 06:00 UTC), and population data from WorldPop 2015, UNITAR-UNOSAT conducted a population exposure analysis for Mozambique. About 750,000 people in Mozambique, mainly in Cabo Delgado province are living inside the wind speed zones of 120 km/h, 90 km/h and 60 km/h accordingly. Cyclone track: Joint Research Centre (JRC) as of 23/04/2019 Wind speed zones: Joint Research Centre (JRC) as of 23/04/2019, 06:00 UTC Administrative Levels: OCHA ROSEA Spatial Demographic Data: WorldPop (2015), 100m spatial resolution Analysis: UNITAR-UNOSAT (23/04/2019)
  • 20+ Downloads
    Updated April 12, 2019 | Dataset date: Apr 12, 2019
    This dataset updates: Live
    Data produced under Thematic National Mapping and Cartographic updating Project at 1/250 000 scale implemented by National Cartography and Tele-detection Centre, Mozambique (CENACARTA).
  • 20+ Downloads
    Updated April 12, 2019 | Dataset date: Dec 31, 2014
    This dataset updates: As needed
    Livelihood zone maps define geographic areas of a country where people generally share similar options for obtaining food and income and similar access to markets. An understanding of geographic livelihood systems is a key component of FEWS NET’s food security analysis. The maps are produced through multi-day workshops during which food security stakeholders and country experts identify zones. Factors considered include agro-climatology, elevation, land-cover, market accessibility, sources of food, and major economic activities. A livelihood zone map is typically accompanied by a livelihood description which outlines the key characteristics of each zone. In some cases, maps may also be accompanied by livelihood profiles, which are in-depth descriptions of the characteristics of wealth groups within each zone. The zone maps are available for download as PDFs, PNGs, and GIS shapefiles. The shapefiles and maps are all produced and maintained by FEWS NET. Please consult the logos in maps for the full list of organizations who participated in and/or funded the zoning workshop. For more information on FEWS NET’s livelihood approach and to view our other livelihood products, please click here.
  • 10+ Downloads
    Updated April 12, 2019 | Dataset date: Apr 12, 2019
    This dataset updates: Every day
    This dataset contains key figures and other data pertaining to the evolving humanitarian situation in during the Tropical Cyclone Idai response in Mozambique.
  • 40+ Downloads
    Updated April 12, 2019 | Dataset date: Apr 12, 2019
    This dataset updates: Live
    Data produced under Thematic National Mapping and Cartographic updating Project at 1/250 000 scale implemented by National Cartography and Tele-detection Centre, Mozambique (CENACARTA).
  • 10+ Downloads
    Updated April 10, 2019 | Dataset date: Mar 29, 2019
    This dataset updates: Never
    This map illustrates the satellite detected surface waters in Manicaland Province, Zimbabwe, as observed from the Sentinel-1 data imagery acquired on 12 and 24 March 2019. Within the analysis extent, over Manicaland Province, 164,130 ha of surface waters were observed the 12 March 2019. and about of 406,600 ha of surface waters were observed the 24 March 2019. It represents an increase of 40 %. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Satellite data (pre-event) : Sentinel-1 Imagery date: 12 March 2019 Resolution: 10 m Copyright: Copernicus 2019 / ESA Source: ESA Satellite data (post-event) : Sentinel-1 Imagery date: 24 March 2019 Resolution: 10 m Copyright: Copernicus 2019 / ESA Source: ESA Boundary data: OCHA ROSEA Water body & waterway: COD Analysis : UNITAR-UNOSAT Production: UNITAR - UNOSAT
  • This map illustrates the satellite detected surface waters in Masvingo Province, Zimbabwe, as observed from the Sentinel-1 data imageries acquired on 12 and 24 March 2019. Within the analysis extent, over Manicaland Province, 84,500 ha of surface waters were observed the 12 March 2019. and about of 288,500 ha of surface waters were observed the 24 March 2019. It represents an icrease of 29 %. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Satellite data (pre-event) : Sentinel-1 Imagery date: 12 March 2019 Resolution: 10 m Copyright: Copernicus 2019 / ESA Source: ESA Satellite data (post-event) : Sentinel-1 Imagery date: 24 March 2019 Resolution: 10 m Copyright: Copernicus 2019 / ESA Source: ESA Boundary data: OCHA ROSEA Water body & waterway: COD Analysis : UNITAR-UNOSAT Production: UNITAR - UNOSAT
  • This map illustrates the satellite detected surface waters in Mashonaland East Province, Zimbabwe, as observed from the Sentinel-1 data imageries acquired on 12 and 24 March 2019. Within the analysis extent, over Manicaland Province, 108,780 ha of surface waters were observed the 12 March 2019. and about of 469,680 ha of surface waters were observed the 24 March 2019. It represents an icrease of 23 %. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Satellite data (pre-event) : Sentinel-1 Imagery date: 12 March 2019 Resolution: 10 m Copyright: Copernicus 2019 / ESA Source: ESA Satellite data (post-event) : Sentinel-1 Imagery date: 24 March 2019 Resolution: 10 m Copyright: Copernicus 2019 / ESA Source: ESA Boundary data: OCHA ROSEA Water body & waterway: COD Analysis : UNITAR-UNOSAT Production: UNITAR - UNOSAT
  • 30+ Downloads
    Updated April 10, 2019 | Dataset date: Apr 4, 2019
    This dataset updates: Never
    This map illustrates the cumulative satellite-detected surface waters in central provinces of Mozambique and particularly the Sofala province and its surroundings, as observed from the Sentinel-1 imagery acquired between 13 & 26 March 2019. Within the analysis extent. over Sofala and Manica provinces, a total of 170,000 km2 of surface imagery were analyzed and about 10,000 km2 of lands experienced floods within this period. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Satellite data : Sentinel-1 Imagery date: 13-14-19-20-26 March 2019 Resolution: 10 m Copyright: Copernicus 2019/ESA Source:ESA Boundary data: OCHA ROSEA Water body & waterway: COD Analysis : UNITAR-UNOSAT Production:UNITAR - UNOSAT
  • 10+ Downloads
    Updated April 10, 2019 | Dataset date: Apr 9, 2019
    This dataset updates: Never
    This map illustrates satellite-detected surface waters in Tete and Zambezia province, Mozambique as observed from Sentinel-1 imagery acquired on 7 April 2019. Within the analysed extent of about 7,800 sq km, a total about 100 sq km of lands appear to be flooded as of 7 April 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Satellite Data (Post): Sentinel-1 Imagery Date (1): 7 April 2019 Imagery Date (2): 20 March 2019 Resolution: 10 m Copyright: Copernicus 2019 / ESA Source: ESA
  • Mapa que muestra la zona receptora de tsunamis lejanos y la zona generadora de tsunamis locales y receptora de lejanos, donde la altura de las olas esperada en Baja California, Sonora y Sinaloa es máxima de 3 metros, mientras que en el resto de la costa occidental puede ser hasta de 10 metros.
  • 20+ Downloads
    Updated April 6, 2019 | Dataset date: Oct 23, 2015
    This dataset updates: Every year
    Este mapa representa las zonas susceptibles de Hundimientos regionales y Agrietamientos por sobrexplotación de acuiferos en México. Este mapa se elaboró mediante la superposición de la información referente a las características de las diferentes provincias fisiográficas, la geomorfología, el estudio sobre los diferentes climas existentes en todo el país, así como la localización de las condiciones ambientales que propician la necesidad de extraer agua del subsuelo para consumo humano, agrícola e industrial, identificando las distintas formaciones geológicas involucradas, la edafología, la distribución de vertientes, ríos y cuencas hidrológicas, dando especial atención a las condiciones geológicas y a los datos de precipitación pluvial, mediante el estudio de isoyetas.
  • 40+ Downloads
    Updated April 6, 2019 | Dataset date: Oct 23, 2015
    This dataset updates: Every year
    Deslizamiento de laderas sin probabilidad de ocurrencia regionalizada en Baja California, Baja California Sur, Eje Neovolcánico, Golfo California, Chihuahua, Durango, Golfo Norte, Golfo de México, Pacífico Norte y Pacífico Sur.