Layer List
API endpoint that allows layers to be viewed or edited.
GET /api/v2/layers?format=api&page=22
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(Don't forget to zoom on the coast!)\r\nUnit is expected average annual GDP (2010 as the year of reference) exposed in (US $, year 2000 equivalent).\r\n\r\nFor more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=surges&evcat=4&lang=eng", "attribution": null, "doi": null, "alternate": "geonode:merge_cyclo_ecoexp__1_5_4_3_2_", "date": "2017-02-23T10:38:00Z", "date_type": "publication", "temporal_extent_start": "1975-01-01T10:37:00Z", "temporal_extent_end": "2007-12-31T10:37:00Z", "edition": "UNEP/DEWA/GRID-Europe (2014). Global risk data platform. 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Layers of natural hazards can be added for both events and yearly average.", "data_quality_statement": "Original metadata can be consulted here: http://preview.grid.unep.ch/geonetwork/srv/eng/csw?SERVICE=CSW&VERSION=2.0.2&outputSchema=http://www.isotc211.org/2005/gmd&outputFormat=application/xml&REQUEST=GetRecordById&ID=60917257-3dad-4f90-b0fc-2e9e27b53efc", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -90.0 ], [ -180.0, 83.99999999993042 ], [ 179.99999999985602, 83.99999999993042 ], [ 179.99999999985602, -90.0 ], [ -180.0, -90.0 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "group": { "pk": 74, "name": "IHP-Theme6-Water-education" }, "popular_count": "202", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/merge_cyclo_ecoexp__1_5_4_3_2_:geonode:merge_cyclo_ecoexp__1_5_4_3_2_", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.120394Z", "raw_abstract": "This layer presents an estimation of the annual economical exposition to tropical cyclone surges. (Don't forget to zoom on the coast!) Unit is expected average annual GDP (2010 as the year of reference) exposed in (US $, year 2000 equivalent). For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=surges&evcat=4&lang=eng", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "The Global Risk Data Platform allows the visualisation of data on natural hazards, exposure (both human and economical) and risk. Users may perform zooms, pan to a particular area, add different layers of general data including cities, national parks, etc... Different backgrounds can be chosen to highlight different components reflecting vulnerability, such as population distribution, GDP per capita, elevation, landcover. 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"Seewsagur", "avatar": "https://www.gravatar.com/avatar/c0bad0959406dfdc0b5e749e3ca78d52/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 28, "username": "lakshmi.seewsagur", "first_name": "Lakshmi", "last_name": "Seewsagur", "avatar": "https://www.gravatar.com/avatar/c0bad0959406dfdc0b5e749e3ca78d52/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "title": "Contribution of transboundary water to the total renewable water resources (2014)", "abstract": "Also called the dependency ratio indicator. \r\nMethods of calculation:\r\nDependency ratio = 100 percent*(IWR)/ ([IWR] + [IRWR]) (Equation 6) \r\nIWR = SW1IN + SW2IN + SWPR + SWPL + GWIN (Equation 7) \r\nWhere: IWR = total volume of incoming water resources from neighbouring countries; IRWR = internal renewable water resources; SW1IN = volume of surface water entering the country which is not submitted to treaties; SW2IN= volume of surface water entering the country which is secured through treaties; SWPR = accounted flow of border rivers; SWPL = accounted part of shared lakes; GWIN = groundwater entering the country. \r\n\r\nFor more information, visit: http://www.fao.org/nr/water/aquastat/maps/index.stm and http://www.fao.org/docrep/005/y4473e/y4473e07.htm", "attribution": null, "doi": null, "alternate": "geonode:aquastat_contribution_transboundary_water2", "date": "2017-03-08T13:57:00Z", "date_type": "publication", "temporal_extent_start": null, "temporal_extent_end": null, "edition": "FAO AQUASTAT Main Database (2017). Retrieved from http://www.fao.org/nr/water/aquastat/maps/index.stm", "purpose": "", "maintenance_frequency": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "language": "eng", "supplemental_information": "The dependency ratio indicator may theoretically vary between 0% and 100%. A country with a dependency ratio of 0% does not receive any water from neighbouring countries. A country with a dependency ratio of 100% receives all its renewable water from upstream countries, without producing any of its own. This indicator does not consider the possible allocation of water to downstream countries.", "data_quality_statement": "Original database can be consulted here: http://www.fao.org/nr/water/aquastat/maps/index.stm", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -59.48427929999997 ], [ -180.0, 83.62741851800007 ], [ 180.0000000000001, 83.62741851800007 ], [ 180.0000000000001, -59.48427929999997 ], [ -180.0, -59.48427929999997 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "group": { "pk": 74, "name": "IHP-Theme6-Water-education" }, "popular_count": "986", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/aquastat_contribution_transboundary_water2:geonode:aquastat_contribution_transboundary_water2", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.749499Z", "raw_abstract": "Also called the dependency ratio indicator. Methods of calculation: Dependency ratio = 100 percent*(IWR)/ ([IWR] + [IRWR]) (Equation 6) IWR = SW1IN + SW2IN + SWPR + SWPL + GWIN (Equation 7) Where: IWR = total volume of incoming water resources from neighbouring countries; IRWR = internal renewable water resources; SW1IN = volume of surface water entering the country which is not submitted to treaties; SW2IN= volume of surface water entering the country which is secured through treaties; SWPR = accounted flow of border rivers; SWPL = accounted part of shared lakes; GWIN = groundwater entering the country. For more information, visit: http://www.fao.org/nr/water/aquastat/maps/index.stm and http://www.fao.org/docrep/005/y4473e/y4473e07.htm", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "The dependency ratio indicator may theoretically vary between 0% and 100%. A country with a dependency ratio of 0% does not receive any water from neighbouring countries. A country with a dependency ratio of 100% receives all its renewable water from upstream countries, without producing any of its own. This indicator does not consider the possible allocation of water to downstream countries.", "raw_data_quality_statement": "Original database can be consulted here: http://www.fao.org/nr/water/aquastat/maps/index.stm", "metadata_only": false, "embed_url": "/layers/geonode:aquastat_contribution_transboundary_water2/embed", "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-22149144-0407-11e7-8719-005056bf7531-thumb.png?v=73fd2e64", "keywords": [ { "name": "Supply", "slug": "Supply" }, { "name": "Transboundary", "slug": "transboundary" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Ecohydrology" }, "restriction_code_type": null, "license": { "identifier": "not_specified" }, "spatial_representation_type": null }, { "pk": "1132", "uuid": "310afa5a-4a2c-11e8-a93b-005056062634", "name": "Other_NC", "workspace": "geonode", "store": "datastore", "storeType": "dataStore", "charset": "UTF-8", "is_mosaic": false, "has_time": false, 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Breaks follow those in the Urban Water Blueprint.", "attribute_label": "Potential for using agricultural BMPs against phosphorus runoff", "attribute_type": "xsd:string", "visible": true, "display_order": 32, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.108076Z" }, { "pk": 94341, "attribute": "thin_sed_c", "description": "A categorical variable describing the potential for using a strategy to help a city. Breaks follow those in the Urban Water Blueprint.", "attribute_label": "Potential for using forest fuel thinning against sediments", "attribute_type": "xsd:string", "visible": true, "display_order": 31, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.104040Z" }, { "pk": 94338, "attribute": "AgRip_sed_", "description": "A categorical variable describing the potential for using a strategy to help a city. 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Matches with City_ID in City Water Map database.", "attribute_label": "Identification number", "attribute_type": "xsd:long", "visible": true, "display_order": 3, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:19.988026Z" }, { "pk": 94323, "attribute": "grassland", "description": "Percentage of grassland as a land cover in the surface source watersheds", "attribute_label": "Grassland", "attribute_type": "xsd:double", "visible": true, "display_order": 13, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.028310Z" }, { "pk": 94337, "attribute": "AgBMP_sed_", "description": "A categorical variable describing the potential for using a strategy to help a city. 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Breaks follow those in the Urban Water Blueprint.", "attribute_label": "Potential for using grassland reforestation against phosphorus", "attribute_type": "xsd:string", "visible": true, "display_order": 35, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.120283Z" }, { "pk": 94344, "attribute": "ForestPr_1", "description": "A categorical variable describing the potential for using a strategy to help a city. Breaks follow those in the Urban Water Blueprint.", "attribute_label": "Potential for using forest protection to against phosphorus runoff", "attribute_type": "xsd:string", "visible": true, "display_order": 34, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.116186Z" }, { "pk": 94321, "attribute": "Other_type", "description": "The proportion of municipal water that comes from other sources, such as recycled water, rainwater harvesting, or private water vendors.", "attribute_label": "Other Sources", "attribute_type": "xsd:double", "visible": true, "display_order": 11, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.020297Z" }, { "pk": 94329, "attribute": "Transfer", "description": "(i.e. water sourced from watershed(s) outside of the watershed within which a given city resides", "attribute_label": "Percent of water from interbasin transfer", "attribute_type": "xsd:double", "visible": true, "display_order": 19, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.053274Z" }, { "pk": 94343, "attribute": "AgRip_P_ca", "description": "A categorical variable describing the potential for using a strategy to help a city. Breaks follow those in the Urban Water Blueprint.", "attribute_label": "Potential for using riparian buffers on agricultural land to reduce phosphorus runoff", "attribute_type": "xsd:string", "visible": true, "display_order": 33, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.112107Z" }, { "pk": 94322, "attribute": "cropland", "description": "Percentage of cropland as a land cover in the surface source watersheds", "attribute_label": "Cropland", "attribute_type": "xsd:double", "visible": true, "display_order": 12, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.024260Z" }, { "pk": 94340, "attribute": "Refor_sed_", "description": "A categorical variable describing the potential for using a strategy to help a city. 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When the volume of water withdrawn from each source of a city is unknown, each source is treated as equally important.", "attribute_label": "Groundwater", "attribute_type": "xsd:double", "visible": true, "display_order": 8, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.008232Z" }, { "pk": 94339, "attribute": "ForestProt", "description": "A categorical variable describing the potential for using a strategy to help a city. Breaks follow those in the Urban Water Blueprint.", "attribute_label": "Potential for using forest protection to against sediment runoff", "attribute_type": "xsd:string", "visible": true, "display_order": 29, "featureinfo_type": "type_property", "count": 1, "min": "NA", "max": "NA", "average": "NA", "median": "NA", "stddev": "NA", "sum": "NA", "unique_values": "NA", "last_stats_updated": "2021-03-17T15:33:20.095753Z" } ], "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1275, "username": "adrian.barranco-fabre", "first_name": "Adrian", "last_name": "Barranco-Fabre", "avatar": "/static/avatars/adrian.barranco-fabre/resized/240/20180224_163631.d97d0775e6c3.jpg" }, "poc": { "pk": 1275, "username": "adrian.barranco-fabre", "first_name": "Adrian", "last_name": "Barranco-Fabre", "avatar": "/static/avatars/adrian.barranco-fabre/resized/240/20180224_163631.d97d0775e6c3.jpg" }, "metadata_author": { "pk": 1275, "username": "adrian.barranco-fabre", "first_name": "Adrian", "last_name": "Barranco-Fabre", "avatar": "/static/avatars/adrian.barranco-fabre/resized/240/20180224_163631.d97d0775e6c3.jpg" }, "title": "Percentage of Other Lands covering Source Watersheds", "abstract": "The use of the land covering the watersheds have an enormous impact in the cost and treatment of the water, as well as for the availability and quality of the water supply. Globally, a watershed is covered by 40 percent of forestall area, 30 percent of cropland and 20 percent of grassland and pasture; but it will vary from country to country. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface.\r\nFor more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf\r\nYou can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true", "attribution": null, "doi": null, "alternate": "geonode:Other_NC", "date": "2018-11-30T14:22:00Z", "date_type": "publication", "temporal_extent_start": "2015-01-01T16:04:00Z", "temporal_extent_end": "2015-12-31T16:04:00Z", "edition": "McDonald, R.I. & D. Shemie (2014). Urban Water Blueprint: Mapping conservation solutions to the global water challenge. The Nature Conservancy: Washington, D.C.", "purpose": "", "maintenance_frequency": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "language": "eng", "supplemental_information": "The Urban Water Blueprint analyzes the state of water in more than 2000 watersheds and 530 cities worldwide to provide science-based recommendations for natural solutions that can be integrated alongside traditional infrastructure to improve water quality. \r\nThe Urban Water Blueprint has continued to improve its scientific analysis over time, correcting reported errors and improving its methodology.", "data_quality_statement": "Updated results are not reflected in the report or website. Anyone considering using the results for analysis or decision-making should contact the Urban Water Blueprint at water@tnc.org to obtain the most current estimates.", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -149.8921253, -43.52765168 ], [ -149.8921253, 61.21766954 ], [ 174.7646444, 61.21766954 ], [ 174.7646444, -43.52765168 ], [ -149.8921253, -43.52765168 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "group": { "pk": 72, "name": "IHP-Theme4-Water-for-settlements" }, "popular_count": "129", "share_count": "0", "rating": "0", "featured": true, "is_published": true, "is_approved": true, "detail_url": "/layers/datastore:geonode:Other_NC", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.160974Z", "raw_abstract": "The use of the land covering the watersheds have an enormous impact in the cost and treatment of the water, as well as for the availability and quality of the water supply. Globally, a watershed is covered by 40 percent of forestall area, 30 percent of cropland and 20 percent of grassland and pasture; but it will vary from country to country. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "The Urban Water Blueprint analyzes the state of water in more than 2000 watersheds and 530 cities worldwide to provide science-based recommendations for natural solutions that can be integrated alongside traditional infrastructure to improve water quality. The Urban Water Blueprint has continued to improve its scientific analysis over time, correcting reported errors and improving its methodology.", "raw_data_quality_statement": "Updated results are not reflected in the report or website. 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"avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "title": "Mean green water savings through trade of agricultural and industrial commodities (1996-2005)", "abstract": "The national water saving of a country as a result of trade in a certain commodity is calculated as the net import volume of this commodity times the water footprint of the commodity per 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A negative sign means a net national water loss instead of a saving. Here, green water savings through the trade of industrial and agricultural products are considered. \r\nAnnual estimations are given for the period 1996-2005, in million cubic meter per year. In the table, data are also disaggregated per commodities: crop products, animal products, and industrial products.\r\n\r\nMethodology and results can be found here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network: http://temp.waterfootprint.org/?page=files/WaterStat", "attribution": null, "doi": null, "alternate": "geonode:nationalwgreen1_1", "date": "2018-07-05T13:44:00Z", "date_type": "publication", "temporal_extent_start": "1996-01-01T11:12:00Z", "temporal_extent_end": "2005-12-31T11:12:00Z", "edition": "Mekonnen, M.M. and Hoekstra, A.Y. 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A negative sign means a net national water loss instead of a saving. Here, green water savings through the trade of industrial and agricultural products are considered. Annual estimations are given for the period 1996-2005, in million cubic meter per year. In the table, data are also disaggregated per commodities: crop products, animal products, and industrial products. 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