An Automatic Identification Method of Crested Ibis (<i>Nipponia nippon</i>) Habitat Based on Spatiotemporal Density Detection
To address the current challenges of the heavy workload, time-consuming nature and labor-intensiveness involved in existing crested ibis’s (<i>Nipponia nippon</i><i>Temminck, 1835</i>) habitat identification approaches, this paper proposes an automatic habitat identification...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/12/17/2220 |
| _version_ | 1827667289734905856 |
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| author | Xian Jiang Tingdong Yang Dongping Liu Yili Zheng Yan Chen Fan Li |
| author_facet | Xian Jiang Tingdong Yang Dongping Liu Yili Zheng Yan Chen Fan Li |
| author_sort | Xian Jiang |
| collection | DOAJ |
| description | To address the current challenges of the heavy workload, time-consuming nature and labor-intensiveness involved in existing crested ibis’s (<i>Nipponia nippon</i><i>Temminck, 1835</i>) habitat identification approaches, this paper proposes an automatic habitat identification method based on spatiotemporal density detection. With consideration of the characteristics of the crested ibis’s trajectory data, such as aggregation, repeatability, and uncertainty, this method achieves detecting the crested ibis’s stopping points by using the spatial characteristics of the trajectory data. On this basis, an improved spatiotemporal clustering-based DBSCAN method is proposed in this paper, incorporating temporal characteristics of the trajectory data. By combining the spatial and temporal features, the proposed method is able to accurately identify the roosting and foraging sites among the crested ibis’s stopping points. Supported by remote sensing images and field investigations, it was found that the method proposed in this paper has a good clustering effect and can effectively identify the crested ibis’s foraging sites and overnight roosting areas. Specifically, the woodland, farmland, and river areas are the common foraging sites for the crested ibis, while the woodland with large trees is their common overnight site. Therefore, the method proposed in this paper can provide technical support for identifying and protecting the crested ibis’s habitats. |
| first_indexed | 2024-03-10T03:07:35Z |
| format | Article |
| id | doaj.art-74679905fac242f79789bf5c6f9e0bb0 |
| institution | Directory Open Access Journal |
| issn | 2076-2615 |
| language | English |
| last_indexed | 2024-03-10T03:07:35Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj.art-74679905fac242f79789bf5c6f9e0bb02023-11-23T12:37:15ZengMDPI AGAnimals2076-26152022-08-011217222010.3390/ani12172220An Automatic Identification Method of Crested Ibis (<i>Nipponia nippon</i>) Habitat Based on Spatiotemporal Density DetectionXian Jiang0Tingdong Yang1Dongping Liu2Yili Zheng3Yan Chen4Fan Li5Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, ChinaInstitute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, ChinaKey Laboratory of Forest Protection of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, ChinaSchool of Technology, Beijing Forestry University, Beijing 100013, ChinaInstitute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, ChinaInstitute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, ChinaTo address the current challenges of the heavy workload, time-consuming nature and labor-intensiveness involved in existing crested ibis’s (<i>Nipponia nippon</i><i>Temminck, 1835</i>) habitat identification approaches, this paper proposes an automatic habitat identification method based on spatiotemporal density detection. With consideration of the characteristics of the crested ibis’s trajectory data, such as aggregation, repeatability, and uncertainty, this method achieves detecting the crested ibis’s stopping points by using the spatial characteristics of the trajectory data. On this basis, an improved spatiotemporal clustering-based DBSCAN method is proposed in this paper, incorporating temporal characteristics of the trajectory data. By combining the spatial and temporal features, the proposed method is able to accurately identify the roosting and foraging sites among the crested ibis’s stopping points. Supported by remote sensing images and field investigations, it was found that the method proposed in this paper has a good clustering effect and can effectively identify the crested ibis’s foraging sites and overnight roosting areas. Specifically, the woodland, farmland, and river areas are the common foraging sites for the crested ibis, while the woodland with large trees is their common overnight site. Therefore, the method proposed in this paper can provide technical support for identifying and protecting the crested ibis’s habitats.https://www.mdpi.com/2076-2615/12/17/2220crested ibishabitatovernight siteforaging sitespatial densitytemporal density |
| spellingShingle | Xian Jiang Tingdong Yang Dongping Liu Yili Zheng Yan Chen Fan Li An Automatic Identification Method of Crested Ibis (<i>Nipponia nippon</i>) Habitat Based on Spatiotemporal Density Detection Animals crested ibis habitat overnight site foraging site spatial density temporal density |
| title | An Automatic Identification Method of Crested Ibis (<i>Nipponia nippon</i>) Habitat Based on Spatiotemporal Density Detection |
| title_full | An Automatic Identification Method of Crested Ibis (<i>Nipponia nippon</i>) Habitat Based on Spatiotemporal Density Detection |
| title_fullStr | An Automatic Identification Method of Crested Ibis (<i>Nipponia nippon</i>) Habitat Based on Spatiotemporal Density Detection |
| title_full_unstemmed | An Automatic Identification Method of Crested Ibis (<i>Nipponia nippon</i>) Habitat Based on Spatiotemporal Density Detection |
| title_short | An Automatic Identification Method of Crested Ibis (<i>Nipponia nippon</i>) Habitat Based on Spatiotemporal Density Detection |
| title_sort | automatic identification method of crested ibis i nipponia nippon i habitat based on spatiotemporal density detection |
| topic | crested ibis habitat overnight site foraging site spatial density temporal density |
| url | https://www.mdpi.com/2076-2615/12/17/2220 |
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