Search for a Dataset - Humanitarian Data Exchange

CAR - Waterways line

International Organization for Migration (IOM)
Updated June 26, 2017 | Dataset date: Oct 5, 2016

Waterways

zipped shapefile
This dataset updates: Never

CAR - Administrative boundaries (Shapefile 4 levels)

International Organization for Migration (IOM)
Updated June 26, 2017 | Dataset date: Oct 1, 2016

Shapefile Administrative boundaries (4 levels Prefectures, Sous Prefectures, Communes, Quartiers Bangui)

zipped shapefile
This dataset updates: Never

CAR - Roads and paths (Shapefile)

International Organization for Migration (IOM)
Updated June 26, 2017 | Dataset date: Oct 1, 2016

CAR - Roads and paths

zipped shapefile
This dataset updates: Every six months

Myanmar Hydrology - River/Streams

OCHA Myanmar
Updated April 7, 2017 | Dataset date: Dec 4, 2017

Shapefiles for Rivers/Streams of Myanmar

zipped shapefile
This dataset updates: Never

Myanmar - Transportation

OCHA Myanmar
Updated April 7, 2017 | Dataset date: Dec 4, 2013

Zipped shapefile for transportation infrastructure in Myanmar. Including roads, railways, seaports, airports shapefile.

zipped shapefile
This dataset updates: Never

Myanmar - Settlements

OCHA Myanmar
Updated April 7, 2017 | Dataset date: Feb 1, 2012-Jul 23, 2015

Settlements in Myanmar. Town and village

zipped shapefile
This dataset updates: Every year

Myanmar - Administrative Boundary level 0 - 3

OCHA Myanmar
Updated April 6, 2017 | Dataset date: Jun 13, 2014

Administrative boundary, admin level 1 = state and region , admin level 2 = district and admin level 3 = township. The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations.

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This dataset updates: Every year

Afghanistan - Administrative Boundaries (levels 0 - 2)

OCHA Afghanistan
Updated March 29, 2017 | Dataset date: Sep 25, 2012

This spatial dataset provides the delimitation and composition of the Afghanistan administrative boundaries (levels 0 - 3) and forms one of the Common Operational Datasets (COD) for the humanitarian community. It comprises of polygons of 399 district boundaries (level 2), 34 province boundaries (level 1) and the national boundary. The UNAMA region boundary available in this dataset is not an official administrative level and is included as a reference for operational purposes. The dataset is attributed with the Afghanistan Geodesy and Cartography Head Office (AGCHO) p-codes and names (Dari and English) was obtained from AGCHO on 25 September 2012.

ZIP
XLSX
This dataset updates: Every year

Eurasia and Oceania - Detailed LSIB Lines, Jan 30 2017

U.S. Department of State - Humanitarian Information Unit
Updated February 6, 2017 | Dataset date: Jan 30, 2017

This is the detailed version of the detailed Large Scale International Boundaries (LSIB) dataset. The boundary lines reflect all current US government policies on boundaries, boundary disputes, and sovereignty. There are no restrictions on use of this public domain data. This dataset will be updated as needed and is current as of Jan 30, 2017.

zipped shapefile
This dataset updates: Every year

Detailed LSIB Lines, Africa and Americas, Jan 30 2017

U.S. Department of State - Humanitarian Information Unit
Updated February 2, 2017 | Dataset date: Jan 30, 2017

This is the detailed version of the detailed Large Scale International Boundaries (LSIB) dataset. The boundary lines reflect all current US government policies on boundaries, boundary disputes, and sovereignty. There are no restrictions on use of this public domain data. This dataset will be updated as needed and is current as of Jan 30, 2017.

zipped shapefile
This dataset updates: Every year

CAR Shapefile IDP sites

International Organization for Migration (IOM)
Updated October 14, 2016 | Dataset date: Oct 1, 2016

CAR Shapefile IDP sites and figure as of September 2016

7z
zipped shapefile
This dataset updates: Every month

CAR Shapefile Contour line - Equidistant 10m

International Organization for Migration (IOM)
Updated October 14, 2016 | Dataset date: Jul 1, 2016

CAR Shapefile Contour line - Equidistant 10m

7z
This dataset updates: Never

Geodata of Damage Density in The City of Jama, Manabi Province, Ecuador

UN Operational Satellite Applications Programme (UNOSAT)
Updated September 20, 2016 | Dataset date: May 18, 2016

This map illustrates satellite-detected areas of damage and related density in Jama city, Manabi Province, Ecuador. Located at approximately 100 km south of the 16 April 2016 Muisne earthquake mainshock epicenter and using a WorldView-2 satellite image acquired 02 May 2016 and a WorldView- 2 image acquired 02 December 2013. UNITAR-UNOSAT created a damage site density index for affected areas in the city of Jama. The analysis revealed a total of 151 potentially damaged structures of which 105 are destroyed, 34 severely damaged and 12 moderately damaged. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

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This dataset updates: Never

Geodata of Update: Al Zaatari Refugee Camp, Mafraq Governorate, Jordan

UN Operational Satellite Applications Programme (UNOSAT)
Updated September 20, 2016 | Dataset date: Aug 17, 2016

This map illustrates satellite-detected shelters and other buildings at the Al Zaatari refugee camp in Mafraq Governorate, Jordan. As of 30 June 2016 a total of 25,815 shelters were detected as well as 1,879 infrastructure and support buildings within the 534 hectares of the camp. Between 12 October 2015 and 30 June 2016 a total of 2,568 shelters were constructed, with even more removed, indicating an approximate 4.26% decrease in the number of shelters between 12 October 2015 and 30 June 2016. This is a preliminary analysis and has not yet been validated in the field; structure locations subject to a spatial error margin of +/- three meters. Shelters grouped under plastic sheeting were estimated by average household size and may be a source of error. Please send ground feedback to UNITAR-UNOSAT.

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zipped geodatabase
This dataset updates: Never

Geodata of Satellite Detected Waters Extent Over Northwestern Rakhine State, ...

UN Operational Satellite Applications Programme (UNOSAT)
Updated September 20, 2016 | Dataset date: Jul 15, 2016

This map illustrates satellite-detected flood waters in the northwestern part of Rakhine State in the townships of Kyauktaw, Mrauk-U and Ponnagyun, Myanmar as imaged by the SENTINEL-1 satellite on 14 July 2016. Heavy rains at the onset of the monsoon season have caused flooding. The most affected lands seem to be mainly agricultural and/or paddy fields, many of which are of course frequently inundated at other times as well. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

ZIPPED SHAPEFILE
zipped geodatabase
This dataset updates: Never

Geodata of Shelters at Hadalat Border Crossing, Jordan-Syria Border

UN Operational Satellite Applications Programme (UNOSAT)
Updated September 20, 2016 | Dataset date: Jul 14, 2016

This data illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 13 July 2016, UNOSAT located 2,132 probable shelters. This is a 9% increase in shelters since the previous UNOSAT analysis done using an image collected 14 May 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously.

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geodatabase
This dataset updates: Never

South Sudan - Geodata of IDP Shelters in UN House Compound in Juba (Central E...

UN Operational Satellite Applications Programme (UNOSAT)
Updated September 16, 2016 | Dataset date: Jul 11, 2016

This map illustrates satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of WorldView-1 satellite imagery acquired 27 June 2016 revealed a total of 8,477 shelters as well as 231 infrastructure and support buildings within the compound. This represents an increase of approximately 3.2 percent in shelters and a decrease of roughly 3.3 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 25 September 2015 satellite imagery. While no structures were detected within PoC2, containers were visible in this area on 27 June 2016, as seen in inset 2. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

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This dataset updates: Never

División política de Honduras

OCHA ROLAC
Updated September 1, 2016 | Dataset date: Jun 25, 2015

División política por departamento y municipios, incluye códigos y densidad poblacional.

XLSX
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This dataset updates: Never

Geodata of Satellite Detected Water Extent and Evolution Over Eastern part of...

UN Operational Satellite Applications Programme (UNOSAT)
Updated August 23, 2016 | Dataset date: Jul 28, 2016

This map illustrates satellite-detected water extent and evolution in the eastern part of Bangladesh as imaged by the SENTINEL-1 satellite on 30 June 2016 and 24 July 2016. The analysis shows an expansion of waters of 75% between the two dates within the entire analyzed zone. Heavy rains at the onset of the Monsoon season have caused flooding. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

ZIPPED SHAPEFILE
This dataset updates: Never

Geodata of Satellite Detected Water Extent and Evolution Over Central Bangladesh

UN Operational Satellite Applications Programme (UNOSAT)
Updated August 23, 2016 | Dataset date: Jul 27, 2016

This map illustrates satellite-detected water extent and evolution in Dhaka and Rajshahi divisions of the Central Bangladesh as imaged by the SENTINEL-1 satellite on 30 June 2016 and 24 July 2016. The analysis shows an expansion of waters of ~75% between the two dates. Heavy rains at the onset of the Monsoon season have caused flooding. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

ZIPPED SHAPEFILE
This dataset updates: Never

Geodata of Satellite Detected Waters over central part of Kassala State, Sudan

UN Operational Satellite Applications Programme (UNOSAT)
Updated August 23, 2016 | Dataset date: Aug 12, 2016

This map illustrates satellite detected waters over the central part of Kassala state in Sudan extracted from Landsat-8 imagery (30m) acquired 05 June 2016 (Pre-event) and 08 August 2016 (Post-event). Since late June, it has been observed that the water expansion are predominantly located in areas along the Gash river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows that most of the water expansion is around agricultural and vegetated areas.This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT

ZIPPED SHAPEFILE
This dataset updates: Never

Geodata of Floods in Rakhine State, Myanmar-Situation Analysis Preliminary Re...

UN Operational Satellite Applications Programme (UNOSAT)
Updated August 23, 2016 | Dataset date: Aug 3, 2016

Floods in Rakhine State, Myanmar-Situation Analysis Preliminary Report

ZIPPED SHAPEFILE
This dataset updates: Never

Geodata of Satellite Detected Waters Evolution in Central Bangladesh - Prelim...

UN Operational Satellite Applications Programme (UNOSAT)
Updated August 23, 2016 | Dataset date: Jul 29, 2016

Preliminary Satellite Detected Waters Evolution in Central Bangladesh Report (28 July 2016)

ZIPPED SHAPEFILE
This dataset updates: Never

Geodata of Possible Flood Water & Saturated Soil Over Khartoum Area, Khartoum...

UN Operational Satellite Applications Programme (UNOSAT)
Updated August 23, 2016 | Dataset date: Aug 17, 2016

This map illustrates satellite-detected possible flood water & saturated soil over Khartoum City in Suda nextracted from SPOT-7 imagery on 15 August 2016 in Khartoum State. UNOSAT analysis shows, an expansion of possible flood water and saturated soil over areas particulary located on right bank of the Blue Nile and White Nile, without causing floods inside build up areas. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

ZIPPED SHAPEFILE
This dataset updates: Never

Geodata of Possible Flood Water & Saturated Soil over Abu Hamad Area, River N...

UN Operational Satellite Applications Programme (UNOSAT)
Updated August 22, 2016 | Dataset date: Aug 19, 2016

This map illustrates satellite-detected possible flood water & saturated soil over Abu Hamad area in River Nile State, Sudan, extracted from Spot-6 imagery of 14 August 2016. UNOSAT analysis shows an increase of floods water / saturated soil around Nileside west and Abu Tin areas. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT

ZIPPED SHAPEFILE
This dataset updates: Never