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)
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https://hdl.handle.net/10316.2/44698| Title: | Global generation of long-term burned area with AVHRR-LTDR data | Authors: | Otón, Gonzalo Ramo, Rubén Lizundia-Loiola, Joshua Chuvieco, Emilio |
Keywords: | Remote sensing;Burn area;VHRR-LTDR;Multitemporal;Random Forest | Issue Date: | 2018 | Publisher: | Imprensa da Universidade de Coimbra | Journal: | http://hdl.handle.net/10316.2/44517 | URI: | https://hdl.handle.net/10316.2/44698 | ISBN: | 978-989-26-16-506 (PDF) | DOI: | 10.14195/978-989-26-16-506_181 | Rights: | open access |
| Appears in Collections: | Advances in forest fire research 2018 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| global_generation_of_long-term_burned_area.pdf | 620.75 kB | Adobe PDF |  |
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