1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/47UCFCS |
Repository | sid.inpe.br/mtc-m21d/2022/11.07.18.13 (restricted access) |
Last Update | 2022:11.07.18.13.18 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2022/11.07.18.13.18 |
Metadata Last Update | 2023:01.03.16.46.23 (UTC) administrator |
DOI | 10.3390/f13101716 |
ISSN | 1999-4907 |
Citation Key | ShimabukuroASDMDMCFJ:2022:MaMoFo |
Title | Mapping and Monitoring Forest Plantations in Sao Paulo State, Southeast Brazil, Using Fraction Images Derived from Multiannual Landsat Sensor Images |
Year | 2022 |
Month | Oct. |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 14599 KiB |
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2. Context | |
Author | 1 Shimabukuro, Yosio Edemir 2 Arai, Egidio 3 Silva, Gabriel Máximo da 4 Dutra, Andeise Cerqueira 5 Mataveli, Guilherme Augusto Verola 6 Duarte, Valdete 7 Martini, Paulo Roberto 8 Cassol, Henrique Luís Godinho 9 Ferreira, Danilo S. 10 Junqueira, Luis R. |
Resume Identifier | 1 8JMKD3MGP5W/3C9JJCQ 2 8JMKD3MGP5W/3C9JGUP 3 4 5 6 8JMKD3MGP5W/3C9JJAU 7 8JMKD3MGP5W/3C9JJ3M |
ORCID | 1 0000-0002-1469-8433 2 3 0000-0003-2105-9055 4 0000-0002-4454-7732 5 0000-0002-4645-0117 6 7 8 0000-0001-6728-4712 |
Group | 1 DIOTG-CGCT-INPE-MCTI-GOV-BR 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 4 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 5 DIOTG-CGCT-INPE-MCTI-GOV-BR 6 DIOTG-CGCT-INPE-MCTI-GOV-BR 7 SEREL-COGAB-INPE-MCTI-GOV-BR 8 DIOTG-CGCT-INPE-MCTI-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 Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 Sylvamo 10 Sylvamo |
Author e-Mail Address | 1 yosio.shimabukuro@inpe.br 2 egidio.arai@inpe.br 3 gabrielmaximo04@gmail.com 4 andeise.dutra@inpe.br 5 guilherme.mataveli@inpe.br 6 valdete.duarte@inpe.br 7 paulo.martini@inpe.br 8 hlcassol@hotmail.com |
Journal | Forests |
Volume | 13 |
Number | 10 |
Pages | e1716 |
Secondary Mark | B2_INTERDISCIPLINAR B5_SOCIOLOGIA B5_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I |
History (UTC) | 2022-11-07 18:14:00 :: simone -> administrator :: 2022 2023-01-03 16:46:23 :: administrator -> simone :: 2022 |
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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 | linear spectral mixing model fraction images eucalypt pine forest plantation image processing |
Abstract | This article presents a method, based on orbital remote sensing, to map the extent of forest plantations in Sao Paulo State (Southeast Brazil). The proposed method uses the random forest machine learning algorithm available on the Google Earth Engine (GEE) cloud computing platform. We used 30 m annual mosaics derived from Landsat-5 Thematic Mapper (TM) images and from Landsat-8 Operational Land Imager (OLI) images for the 1985 to 1995 and 2013 to 2021 time periods, respectively. These time periods were selected based on the planted areas' rotation, especially the eucalypt's short rotation. To classify the forest plantations, green, red, NIR, and MIR spectral bands, NDVI, GNDVI, NDWI, and NBR spectral indices, and vegetation, shade, and soil fractions were used for both sensors. These indices and the fraction images have the advantage of reducing the volume of data to be analyzed and highlighting the forest plantations' characteristics. In addition, we also generated one mosaic for each fraction image for the TM and OLI datasets by computing the maximum value through the period analyzed, facilitating the classification of areas occupied by forest plantations in the study area. The proposed method allowed us to classify the areas occupied by two forest plantation classes: eucalypt and pine. The results of the proposed method compared with the forest plantation areas extracted from the land use and land cover maps, provided by the MapBiomas product, presented the Kappa values of 0.54 and 0.69 for 1995 and 2020, respectively. In addition, two pilot areas were used to evaluate the classification maps and to monitor the phenological stages of eucalypt and pine plantations, showing the rotation cycle of these plantations. The results are very useful for planning and managing planted forests by commercial companies and can contribute to developing an automatic method to map forest plantations on regional and global scales. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Mapping and Monitoring... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Mapping and Monitoring... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGAB > Mapping and Monitoring... |
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 | forests-13-01716.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/3F3NU5S 8JMKD3MGPCW/46KUATE 8JMKD3MGPCW/46L2F3E |
Citing Item List | sid.inpe.br/bibdigital/2013/10.18.22.34 6 sid.inpe.br/bibdigital/2022/04.04.04.41 3 sid.inpe.br/mtc-m21/2012/07.13.14.45.03 2 |
Dissemination | WEBSCI |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes 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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