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NPARKS (National Parks Board)Mangrove forests, seagrass meadows and coral reefs are three of the most important coastal habitats of the world. Mangroves not only provide valuable ecosystems services such as coastal erosion protection, water filtration and the areas for fish and shrimp breeding, they also harvested as building materials and are used as medicine. Seagrass beds provide feeding and nursery grounds for many organisms, such as dugongs and juvenile fish. They also anchor sediments, protect shorelines from erosion, remove nutrients and help control coastal water quality. However, these habitats are also the most vulnerable ecosystems worldwide and experienced a dramatic decline. They can be affected or degraded by oil pollution and water sedimentation due to shipping activities and coastal reclamation. To protect and preserve the coastal habitats, it is necessary to monitor the status of habitats regularly. In order to achieve that, a map with detailed classification of the habitats plays an important role in the understanding, monitoring and aid in the decision making process for an effective management of the coastal habitats. The objective of this study is to generate a large scale habitats map of Singapore using high resolution satellite imagery.
Attribute Legend
| Attributes | Data Type | Description |
|---|---|---|
| OBJECTID | Numeric | - |
| Habitat_Code | Numeric | - |
| Habitat_Type | Text | - |
| Shape.STArea() | Numeric | - |
| Shape.STLength() | Numeric | - |
Dataset preview
This code can be used to view the raw JSON dataset for Coastal and Marine Habitat Map of Singapore 2010/2011. Large datasets may be truncated in the preview. Please download the dataset for complete data.
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code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation
import requests
dataset_id = "d_37d905893542417ee27c2f9153c08330"
url = "https://api-open.data.gov.sg/v1/public/api/datasets/" + dataset_id + "/poll-download"
response = requests.get(url)
json_data = response.json()
if json_data['code'] != 0:
print(json_data['errMsg'])
exit(1)
url = json_data['data']['url']
response = requests.get(url)
print(response.text)This dataset can be reused and cited in research publications.
31 Jul 2023
Free forever for personal or commercial use, under the Open Data Licence.