{"id":469,"date":"2024-09-17T21:26:19","date_gmt":"2024-09-17T21:26:19","guid":{"rendered":"https:\/\/geospatial-ai.de\/?post_type=rara-portfolio&p=469"},"modified":"2024-09-17T21:26:19","modified_gmt":"2024-09-17T21:26:19","slug":"geospatial-water-levels-api-service","status":"publish","type":"rara-portfolio","link":"https:\/\/geospatial-ai.de\/?rara-portfolio=geospatial-water-levels-api-service","title":{"rendered":"Geospatial Water Levels API Service"},"content":{"rendered":"\n

Query the water levels of all registered stations in Germany, analyze, and visualize the spatio-temporal features at a specific time for the last 90 days. The cloud-based backend detects patterns of water levels risings for specific time ranges. The detection algorithm is under active development.<\/p>\n\n\n\n

These include daily updated raw data of various hydrological parameters, such as water levels, of inland and coastal levels along the federal waterways.<\/p>\n\n\n\n

The Federal Waterways and Shipping Administration (WSV) provides this unverified raw data. Therefore, no liability or guarantee is assumed for the correctness, accuracy, timeliness, reliability or completeness of the data. The raw data is freely available under the DL-DE-Zero-2.0 license<\/a> hosted by Pegelonline<\/a>.<\/p>\n\n\n\n

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Start Coding<\/a><\/div>\n<\/div>\n\n\n\n
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Developers get access to the water levels of registered stations in Germany.<\/p>\n\n\n\n

\/stations<\/h2>\n\n\n\n

Returns the stations and statistics for measurements of water levels.<\/p>\n\n\n\n

name<\/strong><\/td>type<\/strong><\/td>description<\/strong><\/td>option<\/strong><\/td>sample<\/strong><\/td><\/tr>
format<\/em><\/td>STRING<\/em><\/td>The values\u00a0esri\u00a0and\u00a0geojson\u00a0are supported output formats.<\/em><\/td>optional<\/em><\/td>geojson<\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\/rising<\/h2>\n\n\n\n

Returns specific time ranges representing patterns of water levels risings.<\/p>\n\n\n\n

\/query<\/h2>\n\n\n\n

Queries the water levels of all registered stations at a specific time.<\/p>\n\n\n\n

name<\/strong><\/td>type<\/strong><\/td>description<\/strong><\/td>option<\/strong><\/td>sample<\/strong><\/td><\/tr>
at<\/em><\/td>DATETIME<\/em><\/td>Represents the date and time of interest. The date and time must be defined using ISO format, e.g.\u00a02024-05-23T12:00:00.<\/em><\/td>required<\/em><\/td>2024-05-23T12:00:00<\/em><\/td><\/tr>
format<\/em><\/td>STRING<\/em><\/td>The values\u00a0esri\u00a0and\u00a0geojson\u00a0are supported output formats.<\/em><\/td>optional<\/em><\/td>geojson<\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\/measurements<\/h2>\n\n\n\n

Returns the water level measurements of a specific station using a time range not exceeding 24 hours.<\/p>\n\n\n\n

name<\/strong><\/td>type<\/strong><\/td>description<\/strong><\/td>option<\/strong><\/td>sample<\/strong><\/td><\/tr>
uuid<\/em><\/td>STRING<\/em><\/td>The unique id of the station.<\/em><\/td>required<\/em><\/td>1edc5fa4-88af-47f5-95a4-0e77a06fe8b1<\/em><\/td><\/tr>
from<\/em><\/td>DATETIME<\/em><\/td>Represents the minimum date and time range. The date and time must be defined using ISO format, e.g.\u00a02024-05-23T12:00:00.<\/em><\/td>required<\/em><\/td>2024-05-23T12:00:00<\/em><\/td><\/tr>
to<\/em><\/td>DATETIME<\/em><\/td>Represents the maximum date and time range. The date and time must be defined using ISO format, e.g.\u00a02024-05-23T13:00:00.<\/em><\/td>required<\/em><\/td>2024-05-23T13:00:00<\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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Start Coding<\/a><\/div>\n<\/div>\n\n\n\n
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References:<\/h2>\n\n\n\n

[1] geowaterlevels API hosted @RapidAPI<\/a>
Query the water levels of all registered stations in Germany, analyze, and visualize the spatio-temporal features at a specific time for the last 90 days.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Query the water levels of all registered stations in Germany, analyze, and visualize the spatio-temporal features at a specific time for the last 90 days. The cloud-based backend detects patterns of water levels risings for specific time ranges. The detection algorithm is under active development. These include daily updated raw data of various hydrological parameters, … <\/p>\n","protected":false},"author":1,"featured_media":468,"template":"","rara_portfolio_categories":[10],"class_list":["post-469","rara-portfolio","type-rara-portfolio","status-publish","has-post-thumbnail","hentry","rara_portfolio_categories-api-services"],"_links":{"self":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/rara-portfolio\/469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/rara-portfolio"}],"about":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/types\/rara-portfolio"}],"author":[{"embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/media\/468"}],"wp:attachment":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=469"}],"wp:term":[{"taxonomy":"rara_portfolio_categories","embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Frara_portfolio_categories&post=469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}