Remote sensing based mapping of Tillandsia fields - A semi-automatic detection approach in the hyperarid coastal Atacama Desert, northern Chile
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| Title: | Main Title: Remote sensing based mapping of Tillandsia fields - A semi-automatic detection approach in the hyperarid coastal Atacama Desert, northern Chile |
| Description: | Abstract: Unique fog ecosystems that occur inland along the Chilean coastal desert are dominated by Tillandsia landbeckii. The average annual precipitation in this hyperarid area lies below 1 mm per year. Tillandsia are specialized in the foliar uptake of fog as a main source of water. The detailed mapping of the distribution of Tillandsia is lacking, making it difficult to understand their geo-ecological niche and to determine the impacts that climate change may have on this species. The objective of this study is to create a detailed spatial distribution of Tillandsia in the Atacama Desert in northern Chile based on remote sensing semi-automatic detection process. For this purpose, high-resolution WorldView-3 optical satellite data has been acquired. The extraction of Tillandsia was done with ENVI Deep Learning tools. As a result, a map of Tillandsia has been created. Several fields were found between Cerro Huantajaya in the north and Cerro Soronal in the south in the study area between 800 and 1300 m a.s.l. For validation purposes ground truth data has been used. The overall accuracy of this classification is 92.02%. The results can be used as a basis for geo-ecological niche modeling, further monitoring and for the development of conservation strategies. |
| Identifier: | 10.1016/j.jaridenv.2022.104821 (DOI) |
| Citation Advice: | https://doi.org/10.1016/j.jaridenv.2022.104821 |
Responsible Party
| Creators: | Signe Mikulane (Author), Alexander Siegmund (Author), Camilo del Río (Author), Marcus Koch (Author), Pablo Osses (Author), Juan-Luis García (Author) |
| Publisher: | Elsevier |
| Publication Year: | 2022 |
Topic
| CRC1211 Topic: | Remote Sensing |
| Related Subproject: | B1 |
| Subject: | Keyword: Remote Sensing |
File Details
| Filename: | Mikulane_et_al_2022.pdf |
| Data Type: | Text - Publication |
| File Size: | 15 MB |
| Date: | Accepted: 20.06.2022 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Free |
| General Access and Use Conditions: | According to the CRC1211DB data policy agreement. |
| Access Limitations: | According to the CRC1211DB data policy agreement. |
| Licence: | None |
Geographic
Specific Information - Publication
| Publication Status: | Accepted |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Journal of Arid Environments |
| Source Website: | www.elsevier.com/locate/jaridenv |
| Issue: | 104821 |
| Volume: | 205 |
| Number of Pages: | 11 (1 - 11) |
Metadata Details
| Metadata Creator: | Johanna Möbus |
| Metadata Created: | 24.01.2023 |
| Metadata Last Updated: | 26.01.2023 |
| Subproject: | B1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 53 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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