Remote sensing based mapping of Tillandsia fields - A semi-automatic detection approach in the hyperarid coastal Atacama Desert, northern Chile
This page lists all metadata that was entered for this dataset. You can download the dataset.
Feature
Citation
Citation Options
Identification
| 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 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 109 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 1 |
Dataset Activity
Feature
By downloading this dataset you accept the license terms of CRC1211DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
