1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/47TLSDH |
Repository | sid.inpe.br/mtc-m21d/2022/11.03.12.34 (restricted access) |
Last Update | 2022:11.03.12.34.27 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2022/11.03.12.34.27 |
Metadata Last Update | 2023:01.03.16.46.22 (UTC) administrator |
Secondary Key | INPE--PRE/ |
DOI | 10.1109/IGARSS46834.2022.9884210 |
ISBN | 978-166542792-0 |
Citation Key | ShimabukuroArSiDuMaDuMa:2022:MaMoFo |
Title | Mapping and Monitoring Forest Plantation using Fraction Images Derived from Multi-Annual Landsat TM Datasets |
Format | On-line |
Year | 2022 |
Access Date | 2024, May 18 |
Secondary Type | PRE CI |
Number of Files | 1 |
Size | 359 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 |
Resume Identifier | 1 8JMKD3MGP5W/3C9JJCQ 2 8JMKD3MGP5W/3C9JGUP 3 4 5 6 8JMKD3MGP5W/3C9JJAU 7 8JMKD3MGP5W/3C9JJ3M |
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 |
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) |
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 |
Conference Name | IEEE International Geoscience and Remote Sensing Symposium (IGARSS ) |
Conference Location | Kuala Lampur |
Date | 17-22 July 2022 |
Publisher | IEEE |
Pages | 5969-5972 |
Book Title | Proceedings |
History (UTC) | 2022-11-03 12:34:53 :: simone -> administrator :: 2022 2023-01-03 16:46:22 :: 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 | Eucalypt and Pine plantations Fraction image Image Processing Linear Spectral Mixing Model |
Abstract | This article presents a method to map the extent of forest plantation in an area located in the São Paulo State (Brazil). The proposed method applies the Linear Spectral Mixing Model (LSMM) to Landsat Thematic Mapper (TM) datasets to derive annually vegetation, soil and shade fraction images for local analysis. We used 30 m annual mosaics of TM images during the 1985 to 1995 time period. These fraction images have the advantage to reduce the volume of data to be analyzed highlighting the target characteristics. Then, we generated only one mosaic for each fraction images for TM dataset computing de maximum value through this period, facilitating the classification of areas occupied by forest plantation. The proposed method allowed to classify two forest plantation classes: Eucalypt and Pine. In addition, it allowed to monitor the phenological stages of Eucalypt according to its growth cycle. The results are very important for planning and management by the commercial companies and can contribute to develop an automatic method to map forest plantation areas in a regional and global scales. |
Area | SRE |
Arrangement 1 | urlib.net > 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 | Mapping_and_Monitoring_Forest_Plantation_using_Fraction_Images_Derived_from_Multi-Annual_Landsat_TM_Datasets.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/2022/04.03.22.23 5 sid.inpe.br/bibdigital/2013/10.18.22.34 1 sid.inpe.br/bibdigital/2022/04.04.04.41 1 |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume |
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7. Description control | |
e-Mail (login) | simone |
update | |
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