DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
Learn More
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11455/78617| 標題: | 應用SPOT衛星影像於921地震崩塌地植生復育之評估 Applying SPOT Images for Assessing of Vegetative Restoration of Landslides Caused by 921 Earthquake |
作者: | Chao-Yuan Lin 林昭遠 Wen-Tzu Lin Ting-Ya Hu 林文賜 胡婷雅 |
關鍵字: | landslide;崩塌地;Vegetative Restoration Ratio;Cluster Analysis;植生復育率;群集分析 | Project: | 水土保持學報, Volume 34, Issue 1, Page(s) 71-82. Journal of Soil and Water Conservation, Volume 34, Issue 1, Page(s) 71-82. |
URI: | http://hdl.handle.net/11455/78617 | ISSN: | 1009-2242 |
| Appears in Collections: | 第34卷 第01期 水土保持學系 |
Files in This Item:
| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| 34-1-5.pdf | 1.34 MB | Adobe PDF | This file is only available in the university internal network Request a copy |
TAIR Related Article
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.