| 書目名稱 | Remote Sensing of Vegetation |
| 副標(biāo)題 | Along a Latitudinal |
| 編輯 | Christian Julian B?dinger |
| 視頻video | http://file.papertrans.cn/827/826941/826941.mp4 |
| 概述 | A better understanding of climate impacts |
| 叢書名稱 | BestMasters |
| 圖書封面 |  |
| 描述 | How is the vegetation distribution influencing the erosion and surface formation in the different eco zones of Chile? To answer this question, it is mandatory to possess fundamental knowledge about plant species habitats, occurrence and their dynamics. In his study Christian B?dinger utilizes satellite imagery in combination with machine learning to derive maps of land use and land cover (LULC) in four study sites along a climatic gradient and to monitor vegetation using monthly Normalized Difference Vegetation Index (NDVI) time series. The findings contribute to a better understanding of climate impacts on Chilean vegetation and serve as a basis of landscape evolution models. .About the Author:..Christian B?dinger holds a M.Sc. in Physical Geography from the University of Tübingen, Germany. His focus in research lies on remote sensing and image analysis for environmental applications. He is currently working for a company focusing on aquatic remote sensing.. |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Remote sensing; Time series analysis; Vegetation monitoring; Machine learning; LULC; Latitudinal gradient |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-658-25120-8 |
| isbn_softcover | 978-3-658-25119-2 |
| isbn_ebook | 978-3-658-25120-8Series ISSN 2625-3577 Series E-ISSN 2625-3615 |
| issn_series | 2625-3577 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies |
|Archiver|手機(jī)版|小黑屋|
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