1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/42S9RE8 |
Repository | sid.inpe.br/mtc-m21c/2020/07.17.11.34 (restricted access) |
Last Update | 2020:07.17.11.34.11 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2020/07.17.11.34.11 |
Metadata Last Update | 2022:01.04.01.35.15 (UTC) administrator |
DOI | 10.5311/JOSIS.2020.20.645 |
ISSN | 1948-660X |
Citation Key | Câmara:2020:SeBiEa |
Title | On the semantics of big Earth observation data for land classification |
Year | 2020 |
Access Date | 2024, Mar. 28 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 925 KiB |
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2. Context | |
Author | Câmara, Gilberto |
Resume Identifier | 8JMKD3MGP5W/3C9JHB8 |
Group | DIDPI-CGOBT-INPE-MCTIC-GOV-BR |
Affiliation | Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | gilberto.camara@inpe.br |
Journal | Journal of Spatial Information Science |
Volume | 20 |
Pages | 21-34 |
History (UTC) | 2020-07-17 11:34:25 :: simone -> administrator :: 2020 2022-01-04 01:35:15 :: administrator -> simone :: 2020 |
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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 | big data Earth observation geospatial semantics LUCC land-use change |
Abstract | This paper discusses the challenges of using big Earth observation data for land classification. The approach taken is to consider pure data-driven methods to be insufficient to represent continuous change. I argue for sound theories when working with big data. After revising existing classification schemes such as FAO's Land Cover Classification System (LCCS), I conclude that LCCS and similar proposals cannot capture the complexity of landscape dynamics. I then investigate concepts that are being used for analyzing satellite image time series; I show these concepts to be instances of events. Therefore, for continuous monitoring of land change, event recognition needs to replace object identification as the prevailing paradigm. The paper concludes by showing how event semantics can improve data-driven methods to fulfil the potential of big data. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > On the semantics... |
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 | camara_semantics.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 | |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 |
Citing Item List | sid.inpe.br/bibdigital/2013/09.09.15.05 1 |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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