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Op 16 februari 2022 om 18:17:49 CET, bas :
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f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
4 | "creator_user_id": "2da92da4-b919-40d6-9afe-60b6fa1310a9", | 4 | "creator_user_id": "2da92da4-b919-40d6-9afe-60b6fa1310a9", | ||
5 | "id": "a0c22580-3015-45f9-b1fc-53817adb709c", | 5 | "id": "a0c22580-3015-45f9-b1fc-53817adb709c", | ||
6 | "license_id": "notspecified", | 6 | "license_id": "notspecified", | ||
7 | "maintainer": null, | 7 | "maintainer": null, | ||
8 | "maintainer_email": null, | 8 | "maintainer_email": null, | ||
9 | "metadata_created": "2020-12-07T08:02:03.974927", | 9 | "metadata_created": "2020-12-07T08:02:03.974927", | ||
t | 10 | "metadata_modified": "2022-02-16T17:06:56.737521", | t | 10 | "metadata_modified": "2022-02-16T17:17:47.542867", |
11 | "name": "teneo-soil-moisture-temperature-humidity-sensors", | 11 | "name": "teneo-soil-moisture-temperature-humidity-sensors", | ||
12 | "notes": "## Introduction\r\n\r\nWithin the frame of the SCOREwater | 12 | "notes": "## Introduction\r\n\r\nWithin the frame of the SCOREwater | ||
13 | project, the City of Amersfoort commissioned Flexyz to install Teneo | 13 | project, the City of Amersfoort commissioned Flexyz to install Teneo | ||
14 | soil moisture and climate monitor sensors at several locations in the | 14 | soil moisture and climate monitor sensors at several locations in the | ||
15 | Schothorst neighbourhood and the Central Railway area. The sensors | 15 | Schothorst neighbourhood and the Central Railway area. The sensors | ||
16 | measure soil moisture, temperature and humidity. Schothorst and the | 16 | measure soil moisture, temperature and humidity. Schothorst and the | ||
17 | Central Railway area differ in groundwater levels. In Schothorst the | 17 | Central Railway area differ in groundwater levels. In Schothorst the | ||
18 | groundwater levels are higher (average height: 0.7 meter to 1.0 meter | 18 | groundwater levels are higher (average height: 0.7 meter to 1.0 meter | ||
19 | below ground level) than in the Central Railway area (average height: | 19 | below ground level) than in the Central Railway area (average height: | ||
20 | lower than 1.6 meter below ground level). The lowest soil moisture | 20 | lower than 1.6 meter below ground level). The lowest soil moisture | ||
21 | sensors are placed on 1.2 meter below ground level. As a result, in | 21 | sensors are placed on 1.2 meter below ground level. As a result, in | ||
22 | the Schothorst area the sensors are located close to or in the | 22 | the Schothorst area the sensors are located close to or in the | ||
23 | groundwater during winter. In the Central Railway area they are | 23 | groundwater during winter. In the Central Railway area they are | ||
24 | located far above the groundwater level. This makes both areas | 24 | located far above the groundwater level. This makes both areas | ||
25 | interesting to include. What all soil moisture sensors have in common | 25 | interesting to include. What all soil moisture sensors have in common | ||
26 | is that they are all located nearby trees and in public spaces. | 26 | is that they are all located nearby trees and in public spaces. | ||
27 | Locations differ in terms of: being in the sun or in the shade, being | 27 | Locations differ in terms of: being in the sun or in the shade, being | ||
28 | in a green setting (unpaved, such as parks) or being in a paved | 28 | in a green setting (unpaved, such as parks) or being in a paved | ||
29 | setting, and being near surface water or not. Because of the | 29 | setting, and being near surface water or not. Because of the | ||
30 | differences between the locations the sensors have been installed in, | 30 | differences between the locations the sensors have been installed in, | ||
31 | data from the sensors can be used to investigate questions such | 31 | data from the sensors can be used to investigate questions such | ||
32 | as:\r\n\r\n* What is the influence of the type of surface on soil | 32 | as:\r\n\r\n* What is the influence of the type of surface on soil | ||
33 | moisture levels?\r\n* Does the nearby presence of surface water affect | 33 | moisture levels?\r\n* Does the nearby presence of surface water affect | ||
34 | soil moisture?\r\n* What is the influence of heat on soil | 34 | soil moisture?\r\n* What is the influence of heat on soil | ||
35 | moisture?\r\n* What is the relation between groundwater levels | 35 | moisture?\r\n* What is the relation between groundwater levels | ||
36 | fluctuance and soil moisture?\r\n* Are adjustments on in public spaces | 36 | fluctuance and soil moisture?\r\n* Are adjustments on in public spaces | ||
37 | (on street level) helpful to improve the soil situation for a more | 37 | (on street level) helpful to improve the soil situation for a more | ||
38 | climate adaptive city?\r\n\r\n## Contents of the data\r\n\r\nData are | 38 | climate adaptive city?\r\n\r\n## Contents of the data\r\n\r\nData are | ||
39 | being harmonized using FIWARE [Smart Data | 39 | being harmonized using FIWARE [Smart Data | ||
40 | Models](https://www.fiware.org/smart-data-models/). Data regarding | 40 | Models](https://www.fiware.org/smart-data-models/). Data regarding | ||
41 | soil moisture can be modelled using the GreenSpaceRecord model. The | 41 | soil moisture can be modelled using the GreenSpaceRecord model. The | ||
42 | data in this dataset provide the following elements from this data | 42 | data in this dataset provide the following elements from this data | ||
43 | model:\r\n\r\n* id - identifier of the sensors\r\n* recordingTimetamp | 43 | model:\r\n\r\n* id - identifier of the sensors\r\n* recordingTimetamp | ||
44 | - timestamp of the measurement\r\n* location - GPS location of the | 44 | - timestamp of the measurement\r\n* location - GPS location of the | ||
45 | sensor, GeoJSON with WGS84/EPSG:4326 coordinate\r\n* soilMoistureVwc - | 45 | sensor, GeoJSON with WGS84/EPSG:4326 coordinate\r\n* soilMoistureVwc - | ||
46 | percentage Volumetric Water Content of soil\r\n\r\nMeteorological data | 46 | percentage Volumetric Water Content of soil\r\n\r\nMeteorological data | ||
47 | can be modelled using the WeatherObserved model. The data in this | 47 | can be modelled using the WeatherObserved model. The data in this | ||
48 | dataset provide the following elements from this data model: \r\n\r\n* | 48 | dataset provide the following elements from this data model: \r\n\r\n* | ||
49 | id - identifier of the sensors\r\n* recordingTimetamp - timestamp of | 49 | id - identifier of the sensors\r\n* recordingTimetamp - timestamp of | ||
50 | the measurement\r\n* location - GPS location of the sensor, GeoJSON | 50 | the measurement\r\n* location - GPS location of the sensor, GeoJSON | ||
51 | with WGS84/EPSG:4326 coordinate\r\n* temperature - temperature in | 51 | with WGS84/EPSG:4326 coordinate\r\n* temperature - temperature in | ||
52 | degrees Celsius\r\n* relativeHumidity - percentage relative | 52 | degrees Celsius\r\n* relativeHumidity - percentage relative | ||
53 | humidity\r\n\r\n## Access the data\r\n\r\nData are available using | 53 | humidity\r\n\r\n## Access the data\r\n\r\nData are available using | ||
54 | different API's:\r\n\r\n* The Orion ContextBroker allows you to access | 54 | different API's:\r\n\r\n* The Orion ContextBroker allows you to access | ||
55 | the [current status of | 55 | the [current status of | ||
56 | -gravitee-scorewater-gateway.dataplatform.nl/teneo/orion/v2/entities). | 56 | -gravitee-scorewater-gateway.dataplatform.nl/teneo/orion/v2/entities). | ||
57 | Use the information provided by the Orion ContextBroker to compile | 57 | Use the information provided by the Orion ContextBroker to compile | ||
58 | requests for the Short Term History API, the ContextBroker provides | 58 | requests for the Short Term History API, the ContextBroker provides | ||
59 | information on which entities are present and what attributes those | 59 | information on which entities are present and what attributes those | ||
60 | entities support. \r\n* The Short Term History API allows you to | 60 | entities support. \r\n* The Short Term History API allows you to | ||
61 | download historical data for the different sensors in both raw and | 61 | download historical data for the different sensors in both raw and | ||
62 | aggregated form in either JSON or CSV format:\r\n * | 62 | aggregated form in either JSON or CSV format:\r\n * | ||
63 | soilMoistureVwc\r\n * JSON, | 63 | soilMoistureVwc\r\n * JSON, | ||
64 | 2/entities/206/attrs/soilMoistureVwc?type=GreenSpaceRecord&lastN=100), | 64 | 2/entities/206/attrs/soilMoistureVwc?type=GreenSpaceRecord&lastN=100), | ||
65 | MoistureVwc?type=GreenSpaceRecord&aggrMethod=min&aggrPeriod=month)\r\n | 65 | MoistureVwc?type=GreenSpaceRecord&aggrMethod=min&aggrPeriod=month)\r\n | ||
66 | * temperature\r\n * JSON, | 66 | * temperature\r\n * JSON, | ||
67 | STH/v2/entities/240/attrs/temperature?type=WeatherObserved&lastN=100), | 67 | STH/v2/entities/240/attrs/temperature?type=WeatherObserved&lastN=100), | ||
68 | rs/temperature?type=WeatherObserved&aggrMethod=min&aggrPeriod=day)\r\n | 68 | rs/temperature?type=WeatherObserved&aggrMethod=min&aggrPeriod=day)\r\n | ||
69 | * relativeHumidity\r\n * JSON, | 69 | * relativeHumidity\r\n * JSON, | ||
70 | 2/entities/240/attrs/relativeHumidity?type=WeatherObserved&lastN=100), | 70 | 2/entities/240/attrs/relativeHumidity?type=WeatherObserved&lastN=100), | ||
71 | ativeHumidity?type=WeatherObserved&aggrMethod=min&aggrPeriod=day)\r\n* | 71 | ativeHumidity?type=WeatherObserved&aggrMethod=min&aggrPeriod=day)\r\n* | ||
72 | The OGC web services allows you to [render | 72 | The OGC web services allows you to [render | ||
73 | vice=WMS&srs=EPSG%3A4326&format=image%2Fpng&request=GetMap&height=384) | 73 | vice=WMS&srs=EPSG%3A4326&format=image%2Fpng&request=GetMap&height=384) | ||
74 | of the sensors and to download historical data in different formats | 74 | of the sensors and to download historical data in different formats | ||
75 | such as | 75 | such as | ||
76 | platform_nl%3Ackan_current_green_space_record_hegcudye&version=2.0.0), | 76 | platform_nl%3Ackan_current_green_space_record_hegcudye&version=2.0.0), | ||
77 | aplatform_nl%3Ackan_current_green_space_record_hegcudye&version=2.0.0) | 77 | aplatform_nl%3Ackan_current_green_space_record_hegcudye&version=2.0.0) | ||
78 | and shape file. ", | 78 | and shape file. ", | ||
79 | "owner_org": "9cb8dbf9-415b-4db9-aa41-ca81e5b08e8f", | 79 | "owner_org": "9cb8dbf9-415b-4db9-aa41-ca81e5b08e8f", | ||
80 | "private": false, | 80 | "private": false, | ||
81 | "revision_id": "b4e5db0c-9a52-4970-b41c-0c740683c9b6", | 81 | "revision_id": "b4e5db0c-9a52-4970-b41c-0c740683c9b6", | ||
82 | "state": "active", | 82 | "state": "active", | ||
83 | "title": "Teneo soil moisture, temperature and humidity sensors", | 83 | "title": "Teneo soil moisture, temperature and humidity sensors", | ||
84 | "type": "dataset", | 84 | "type": "dataset", | ||
85 | "url": null, | 85 | "url": null, | ||
86 | "version": "" | 86 | "version": "" | ||
87 | } | 87 | } |