1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34P/3L9LLEL |
Repository | sid.inpe.br/mtc-m21b/2016/03.03.16.51 (restricted access) |
Last Update | 2016:03.03.16.53.54 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21b/2016/03.03.16.51.05 |
Metadata Last Update | 2018:06.04.02.40.36 (UTC) administrator |
DOI | 10.1016/j.future.2015.07.005 |
ISSN | 0167-739X |
Citation Key | ArcanjoLuzFazeRamo:2016:MeEvVo |
Title | Methods for evaluating volunteers’ contributions in a deforestation detection citizen science project |
Year | 2016 |
Month | Mar. |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 6800 KiB |
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2. Context | |
Author | 1 Arcanjo, Jeferson de Souza 2 Luz, Eduardo F. P. 3 Fazenda, Álvaro L. 4 Ramos, Fernando Manuel |
Resume Identifier | 1 2 3 4 8JMKD3MGP5W/3C9JH4A |
Group | 1 DPI-OBT-INPE-MCTI-GOV-BR 2 3 4 LAC-CTE-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 National Center for Monitoring and Early Warning of Natural Disasters (Cemaden) 3 Universidade Federal de São Paulo (UNIFESP) 4 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 jeferson@dpi.inpe.br 2 3 4 fernando.ramos@inpe.br |
Journal | Future Generation Computer Systems |
Volume | 56 |
Pages | 550-557 |
Secondary Mark | A1_ENGENHARIAS_III A2_SAÚDE_COLETIVA A2_INTERDISCIPLINAR A2_ENGENHARIAS_IV A2_CIÊNCIA_DA_COMPUTAÇÃO B1_MEDICINA_I B1_CIÊNCIAS_SOCIAIS_APLICADAS_I |
History (UTC) | 2016-03-03 16:51:05 :: simone -> administrator :: 2016-06-04 05:08:16 :: administrator -> simone :: 2016 2016-06-20 12:53:20 :: simone -> administrator :: 2016 2018-06-04 02:40:36 :: administrator -> simone :: 2016 |
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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 Data analysis and validation Forest monitoring |
Abstract | Today, due to the availability of free remote sensing data, efficient algorithms for image classification and increased connectivity and computing power, together with international policy initiatives, such as the United Nations Programme on Reducing Emissions from Deforestation and Forest Degradation (UN-REDD), more and more countries are investing in their own national forest monitoring schemes. However, tropical forests remain under threat worldwide. Recently, a citizen science project that enables citizens around the globe to be involved in forest monitoring tasks has been proposed, called ForestWatchers (www.forestwatchers.net). Its main goal is to allow volunteers (many of them with no scientific training) around the globe, with their own smartphones, tablets and notebooks, review satellite images of forested regions and confirm whether automatic assignments of forested and deforested regions are correct. Inspected images are then sent to a central database where the results are integrated to generate up-to-date deforestation maps. This approach offers a low-cost way to both strengthen the scientific infrastructure and engage members of the public in science. Here, we describe the methods developed within the scope of the ForestWatchers project to assess the volunteers performance. These tools have been evaluated with data of two of the projects preliminary tasks. The first, called BestTile, asks volunteers to select which of several images of the same area has the least cloud cover, while in the second, called Deforestation, volunteers draw polygons on satellite images delimiting areas they believe have been deforested. The results from more than 500 volunteers show that using simple statistical tests, it is possible to achieve a triple goal: to increase the overall efficiency of the data collecting tasks by reducing the required number of volunteers per task, to identify malicious behavior and outliers, and to motivate volunteers to continue their contributions. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Methods for evaluating... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Methods for evaluating... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | arcanjo_methods.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | urlib.net/www/2011/03.29.20.55 |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ESGTTP |
Citing Item List | sid.inpe.br/bibdigital/2013/09.09.15.05 12 sid.inpe.br/bibdigital/2013/09.22.23.14 4 |
Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. |
Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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6. Notes | |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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