This GIS layer represents the forest series and was created by the project to support the achievement of forest management plans ( PARPAF ), from socio-economic studies and dendrometric inventories , to achieve different management series ( series production , conservation series , etc. ) . There are several types of sets: Production , Conservation, Agriculture and human occupation , Conservation and wetlands , wildlife conservation , and reserves of Use , Production white wood , red wood Production, Reforestation , Research, Reconstitution . Digitized by the PARPAF separately by forestry permit ( PEA) , the series were combined into a single file and Harmonized Coding by the World Resources Institute (WRI) . Conservation Series (Sout - West CAR)
Open Street Map Points, Line and Polygons for Central African Republic
Point data from Humanitarian Open Street Map Team (HOT), extracted 20 APRIL 2014.
Projection: WGS_1984_World_Mercator (more infomration available in the prj)
Hotspot woreda classification is derived using six multisector indicators, including agriculture and nutrition, agreed at regional and federal levels. A hotspot matrix is often used as a proxy for the acute Integrated Phase Food Security Classification (IPC) and is indicative of food security and nutrition status. Hotspot woredas require urgent humanitarian response.
DROMIC data by DSWD on municipalities within the 50km radius of the typhoon Haiyan/Yolanda track as of 27 January 2014. Historic COD used during response to Typhoon Haiyan, November 2013.
Fundamental Operational Dataset in Education – Overview and details of Schools
It includes detail on the type of school, school location, capacity and number of students, building design and school area.
More detailed information is currently being analyzed and will be added in a new version of the dataset
SRTM DEM Data: Resolution 90m; There are five 5 x 5 deg tiles to cover the whole country. Version 3 of the CSI-SRTM data (srtm.csi.cgiar.org) with improved hole-filling algorithms which make use of ancilliary data sources where they are available.
The data originate in the NASA Shuttle Radar Topographic Mission (SRTM) data held at the National Map Seamless Data Distribution System . The data have been processed by Dr. Andrew Jarvis of the CIAT Land Use project , in collaboration with H.I. Reuter, A. Nelson and E. Guevara to fill in data voids and produce a seamless mosaic.
This dataset contains population census data from 2009 for Kyrgyzstan. It has total population dissagregated by gender and urban/rural area at country level and first and second administrative levels. It includes the number of households for these administrative areas and the average household sizes.
The data was received through UNFPA from the National Statistical Committee of the Kyrgyz Republic.
Health Facility Location Points (334 records), with names and status (open in 2001).
Zip file includes health facilities shapefiles, citation and detail metadata.
County populations for South Sudan compiled from multiple sources (WorldPop, LandScan, and the UN from 2008-2015), including estimates of county population changes (2014-2015) due to internal migration.
This map illustrates the satellite-detected surface waters extent in Sanamxay district, Attapeu province, as observed from the TerraSar-X and Tandem-X radar imagery acquired on 27 July 2018. Satellite detected water extent analysis was performed by Centro Internazionale In Monitoraggio Ambientale Research (CIMA) & Luxembourg Institute of Science and Technology (LIST). Within the analyzed area, a total of 7,405 ha were detected as inundated, four days after the collapse of the dam. Disclaimer: Flood extent maps are derived from high quality satellite data using a scientifically validated retrieval algorithm. No liability concerning the contents or the use thereof is assumed by the producer. The information has limitations due to the quality and resolution of the original data sources, as well as the uncertainties associated with the retrieval algorithm. Please be aware that the thematic accuracy might be lower in urban and forested areas due to inherent limitations of the SAR analysis technique. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This map illustrates a time series analysis of the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province, based on satellite data collected on 13, 25 and 29 July 2018. Within the current map extent, on 13 July 2018, before the collapse of the dam, a total surface of 47,717 ha was detected as inundated and the reservoir controlled by the dam was full of water. As of 25 July 2018, two days after the dam collapsed, an additional surface of 7,531 ha of inundated areas were detected, representing an increase of the surface waters of 16%. On 29 July 2018, floodwaters are receding, especially along the riverbanks of Xe Kong River. A total surface of 30,435 ha was detected as inundated at that date, representing a decrease of the surface waters of 45%. The reservoir that was controlled by the dam has continuously decreased in its size since the dam collapsed. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. Additional optical VHR data are needed to validate analysis over areas covered by mud, hardly detected by radar data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This analysis illustrates a time series analysis of the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province,
based on satellite data recorded on 13, 25 and 29 July 2018.
This map illustrates the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018 and compared with a Radsarsat-2 image acquired on 10 July 2018. As of 10 July 2018, flooded areas and saturated soils were already visible, due to the heavy rains that happened previously to the collapse of the dam. As well, the reservoir controlled by the dam was full of water. As of 24 July 2018, an additional surface of 5,826 ha of inundated areas were detected, representing an increase of the surface waters of 66%, due to the collapse of the dam. At this date, the reservoir that was controlled by the dam has decreased in its size. Several villages and surrounding agricultural fields seems to be inundated. The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This map illustrates the satellite-detected surface waters extent in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018. The previous day, the Xe-Namnoy dam collapsed, inducing flash floods along the Vang Ngao river and affecting several villages located 50 km downstream. Within the analysed area 14,692 ha of surface waters were detected after the heavy rains that happened on 22 July and as well the collapse of the dam. Several villages and surrounding agricultural fields seems to be inundated. The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This map illustrates the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018 and compared with a Radsarsat-2 image acquired on 10 July 2018. As of 10 July 2018, flooded areas and saturated soils were already visible, due to the heavy rains that happened previously to the collapse of the dam. As well, the reservoir controlled by the dam was full of water. As of 24 July 2018, an additional surface of 5,826 ha of inundated areas were detected, representing an increase of the surface waters of 66%, due to the collapse of the dam. At this date, the reservoir that was controlled by the dam has decreased in its size. Several villages and surrounding agricultural fields seems to be inundated. The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This map illustrates the satellite-detected surface waters extent in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018. The previous day, the Xe-Namnoy dam collapsed, inducing flash floods along the Vang Ngao river and affecting several villages located 50 km downstream. Within the analysed area 14,692 ha of surface waters were detected after the heavy rains that happened on 22 July and as well the collapse of the dam. Several villages and surrounding agricultural fields seems to be inundated. The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.