| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/3SA3KK2 | |||
| Repository | sid.inpe.br/mtc-m21c/2018/11.27.10.12 (restricted access) | |||
| Last Update | 2018:11.27.10.12.05 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2018/11.27.10.12.05 | |||
| Metadata Last Update | 2024:01.23.13.42.33 (UTC) simone | |||
| DOI | 10.1016/j.isprsjprs.2018.08.007 | |||
| ISSN | 0924-2716 | |||
| Citation Key | PicoliCSSCMCEABAA:2018:BiEaOb | |||
| Title | Big earth observation time series analysis for monitoring Brazilian agriculture  | |||
| Year | 2018 | |||
| Month | Nov. | |||
| Access Date | 2024, May 18 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 3483 KiB | |||
| 2. Context | ||||
| Author | 1 Picoli, Michelle Cristina Araújo 2 Camara, Gilberto 3 Sanches, Ieda Del'Arco 4 Simões, Rolf Ezequiel de Oliveira 5 Carvalho, Alexandre 6 Maciel, Adeline Marinho 7 Coutinho, Alexandre 8 Esquerdo, Julio 9 Antunes, João 10 Begotti, Rodrigo Anzolin 11 Arvor, Damien 12 Almeida, Cláudio Aparecido de | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHB8 | |||
| Group | 1 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR 5 6 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 7 8 9 10 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 11 12 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 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto de Pesquisa Economica Aplicada (IPEA) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) 8 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) 9 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) 10 Instituto Nacional de Pesquisas Espaciais (INPE) 11 Universite de Rennes 12 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 michelle.picoli@inpe.br 2 gilberto.camara@inpe.br 3 ieda.sanches@inpe.br 4 rolf.simoes@inpe.br 5 alexandre.ywata@ipea.gov.br 6 adeline.maciel@inpe.br 7 alex.coutinho@embrapa.br 8 julio.esquerdo@embrapa.br 9 joao.antunes@embrapa.br 10 rodrigo.begotti@inpe.br 11 12 claudio.almeida@inpe.br | |||
| Journal | ISPRS Journal of Photogrammetry and Remote Sensing | |||
| Volume | 145 | |||
| Number | B | |||
| Pages | 328-339 | |||
| Secondary Mark | A1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_ENGENHARIAS_IV B1_BIODIVERSIDADE C_CIÊNCIAS_AGRÁRIAS_I | |||
| History (UTC) | 2018-11-27 10:12:05 :: simone -> administrator :: 2018-11-27 10:12:05 :: administrator -> simone :: 2018 2018-11-27 10:13:49 :: simone -> administrator :: 2018 2019-01-04 16:57:14 :: administrator -> simone :: 2018 2019-01-07 10:56:29 :: simone -> administrator :: 2018 2019-01-14 17:06:39 :: 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 | Big earth observation data Land use science Satellite image time series Crop expansion Brazilian Amazonia biome Brazilian Cerrado biome Tropical deforestation | |||
| Abstract | This paper presents innovative methods for using satellite image time series to produce land use and land cover classification over large areas in Brazil from 2001 to 2016. We used Moderate Resolution Imaging Spectroradiometer (MODIS) time series data to classify natural and human-transformed land areas in the state of Mato Grosso, Brazil's agricultural frontier. Our hypothesis is that building high-dimensional spaces using all values of the time series, coupled with advanced statistical learning methods, is a robust and efficient approach for land cover classification of large data sets. We used the full depth of satellite image time series to create large dimensional spaces for statistical classification. The data consist of MODIS MOD13Q1 time series with 23 samples per year per pixel, and 4 bands (Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), near-infrared (nir) and mid-infrared (mir)). By taking a series of labelled time series, we fed a 92 dimensional attribute space into a support vector machine model. Using a 5-fold cross validation, we obtained an overall accuracy of 94% for discriminating among nine land cover classes: forest, cerrado, pasture, soybean fallow, fallow-cotton, soybean-cotton, soybean-corn, soybean-millet, and soybean-sunflower. Producer and user accuracies for all classes were close to or better than 90%. The results highlight important trends in agricultural intensification in Mato Grosso. Double crop systems are now the most common production system in the state, sparing land from agricultural production. Pasture expansion and intensification has been less studied than crop expansion, although it has a stronger impact on deforestation and greenhouse gas (GHG) emissions. Our results point to a significant increase in the stocking rate in Mato Grosso and to the possible abandonment of pasture areas opened in the state's frontier. The detailed land cover maps contribute to an assessment of the interplay between production and protection in the Brazilian Amazon and Cerrado biomes. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > Produção anterior à 2021 > DIDPI > Big earth observation... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Big earth observation... | |||
| Arrangement 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Big earth observation... | |||
| Arrangement 4 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Big earth observation... | |||
| 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 | picoli_big.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher denyfinaldraft24 | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F2PHGS 8JMKD3MGPCW/3F3NU5S | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/09.09.15.05 3 sid.inpe.br/bibdigital/2013/10.12.22.16 3 sid.inpe.br/bibdigital/2013/10.18.22.34 1 | |||
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Notes | Prêmio CAPES Elsevier 2023 - ODS 2: Fome zero e Agricultura sustentável | |||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
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