| 1. Identity statement | ||||
| Reference Type | Slides (Audiovisual Material) | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/3RCCJFH | |||
| Repository | sid.inpe.br/mtc-m21c/2018/06.28.16.37 | |||
| Last Update | 2018:06.28.16.37.23 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2018/06.28.16.37.23 | |||
| Metadata Last Update | 2021:09.16.03.39.27 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | AssisFerVinNovZip:2018:DiCrGe | |||
| Title | A discussion of crowdsourced geographic information initiatives and big Earth observation data architectures for land-use and land-cover monitoring  | |||
| Short Title | Slides | |||
| Format | On-line | |||
| Year | 2018 | |||
| Access Date | 2024, Apr. 25 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 4064 KiB | |||
| 2. Context | ||||
| Author | 1 Assis, Luiz Fernando Ferreira Gomes de 2 Ferreira, Karine Reis 3 Vinhas, Lúbia 4 Novack, Tessio 5 Zipf, Alexander | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHKN 3 8JMKD3MGP5W/3C9JHM4 | |||
| Group | 1 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Heidelberg University 5 Heidelberg University | |||
| Author e-Mail Address | 1 luizffga@gmail.com 2 karine.ferreira@inpe.br 3 lubia.vinhas@inpe.br 4 novack@uni-heidelberg.de 5 zipf@uni-heidelberg.de | |||
| Conference Name | VGI-ALIVE: Analysis Integration, Vision, Engagement | |||
| Conference Location | Lund, Sweden | |||
| Date | 12 june | |||
| Publisher | Instituto Nacional de Pesquisas Espaciais | |||
| Publisher City | São José dos Campos | |||
| History (UTC) | 2018-06-28 16:37:23 :: simone -> administrator :: 2021-09-16 03:39:27 :: administrator -> simone :: 2018 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Keywords | Citizen Science Land-Use/Land-Cover Remote Sensing Big Earth Observation Data | |||
| Abstract | The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large amount of satellite imagery provided, many times free-of-cost, by space agencies worldwide. However, scientists still lack of ways of organizing, structuring and analyzing this colossal amount of remote sensing data in a way that leverages administrative and scientific LULCC monitoring. Hence, an efficient image data storage, query and processing architecture that manages different satellite specifications and climatic conditions is required for generating and sharing updated and area-extensive LULCC information. Furthermore, because reliable LULCC monitoring with remote sensing data requires extensive training and validation analysis performed by humans, the potential of big Earth Observation (EO) data for LULCC monitoring is still limited by the amount and time- availability of the analysts involved in the project. In this paper, we discuss the potential of Citizen Science for improving the feasibility and effectiveness of LULCC monitoring supported by big EO data architectures. We put forward general ideas on how to promote and stimulate an active involvement of citizens in EO data analytics for LULCC monitoring. For that, we briefly present and critically evaluate how existing approaches that allow citizens to contribute with up-to-date and detailed LULCC information mitigate the issue of exhaustive sampling required in LULCC monitoring with automatic remote sensing image classification. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Slides | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > A discussion of... > Slides | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
| |||
| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGP3W34R/3RCCJFH | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34R/3RCCJFH | |||
| Language | en | |||
| Target File | assis_discussion_apresentacao.pdf | |||
| User Group | simone | |||
| Visibility | shown | |||
| Read Permission | allow from all | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | urlib.net/www/2017/11.22.19.04.03 | |||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGP3W34R/3RCCJB5 | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.53.44 3 | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress isbn issn label lineage mark nextedition notes numberofslides orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session sponsor subject tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||