| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/3KN2JCL |
| Repository | sid.inpe.br/plutao/2015/12.04.11.18 |
| Last Update | 2015:12.11.12.45.12 (UTC) simone |
| Metadata Repository | sid.inpe.br/plutao/2015/12.04.11.18.22 |
| Metadata Last Update | 2018:06.04.23.25.41 (UTC) administrator |
| DOI | 10.5194/isprsarchives-XL-3-W3-473-2015 |
| ISBN | 16821750 |
| Label | lattes: 9686528152912455 1 FerreiraZoZaFéShSo:2015:UsShIn |
| Citation Key | FerreiraZoZaFéShSo:2015:UsShIn |
| Title | On the use of shortwave infrared for tree species discrimination in tropical semideciduous forest  |
| Year | 2015 |
| Access Date | 2024, May 18 |
| Secondary Type | PRE CI |
| Number of Files | 1 |
| Size | 528 KiB |
| 2. Context | |
| Author | 1 Ferreira, Matheus Pinheiro 2 Zortea, Maciel 3 Zanotta, Daniel Capella 4 Féret, Jean-Baptiste 5 Shimabukuro, Yosio Edemir 6 Souza Filho, Carlos Roberto de |
| Resume Identifier | 1 2 3 4 5 8JMKD3MGP5W/3C9JJCQ |
| Group | 1 SER-SRE-SPG-INPE-MCTI-GOV-BR 2 3 4 5 DSR-OBT-INPE-MCTI-GOV-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil 3 Institute for Education Science and Technology, Rio Grande, Brazil 4 Territoires, Environnement, Teledetection et Information Spatiale, Montpellier, France 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Universidade Estadual de Campinas, Institute of Geosciences, Campinas, Brazil |
| Author e-Mail Address | 1 mpf@dsr.inpe.br 2 mzortea@gmail.com 3 daniel.zanotta@riogrande.ifrs.edu.br 4 jb.feret@teledetection.fr 5 yosio@ltid.inpe.br 6 beto@ige.unicamp.br |
| Editor | N. , Paparoditis A. -M. , Raimond G. , Sithole G. , Rabatel A. , Coltekin F. , Rottensteiner X. , Briottet S. , Christophe I. , Dowman S. O. , Elberink G. , Patane C. , Mallet |
| Conference Name | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives) |
| Conference Location | La grande Motte, France |
| Date | 28 Sept. - 02 Oct. |
| Volume | 40 |
| Pages | 473-476 |
| Book Title | Proceedings |
| Tertiary Type | Artigo |
| Organization | International Society for Photogrammetry and Remote Sensing |
| History (UTC) | 2015-12-04 11:18:22 :: lattes -> administrator :: 2016-06-04 01:09:09 :: administrator -> simone :: 2015 2016-08-19 16:41:42 :: simone -> administrator :: 2015 2018-06-04 23:25:41 :: administrator -> simone :: 2015 |
| 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 | Hyperspectral remote sensing tropical forests classification |
| Abstract | Tree species mapping in tropical forests provides valuable insights for forest managers. Keystone species can be located for collection of seeds for forest restoration, reducing fieldwork costs. However, mapping of tree species in tropical forests using remote sensing data is a challenge due to high floristic and spectral diversity. Little is known about the use of different spectral regions as most of studies performed so far used visible/near-infrared (390-1000 nm) features. In this paper we show the contribution of shortwave infrared (SWIR, 1045-2395 nm) for tree species discrimination in a tropical semideciduous forest. Using high-resolution hyperspectral data we also simulated WorldView-3 (WV-3) multispectral bands for classification purposes. Three machine learning methods were tested to discriminate species at the pixel-level: Linear Discriminant Analysis (LDA), Support Vector Machines with Linear (L-SVM) and Radial Basis Function (RBF-SVM) kernels, and Random Forest (RF). Experiments were performed using all and selected features from the VNIR individually and combined with SWIR. Feature selection was applied to evaluate the effects of dimensionality reduction and identify potential wavelengths that may optimize species discrimination. Using VNIR hyperspectral bands, RBF-SVM achieved the highest average accuracy (77.4%). Inclusion of the SWIR increased accuracy to 85% with LDA. The same pattern was also observed when WV-3 simulated channels were used to classify the species. The VNIR bands provided and accuracy of 64.2% for LDA, which was increased to 79.8 % using the new SWIR bands that are operationally available in this platform. Results show that incorporating SWIR bands increased significantly average accuracy for both the hyperspectral data and WorldView-3 simulated bands. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > On the use... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > On the use... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/8JMKD3MGP3W/3KN2JCL |
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W/3KN2JCL |
| Language | pt |
| Target File | 1_ferreira.pdf |
| User Group | lattes simone |
| Reader Group | administrator simone |
| Visibility | shown |
| Read Permission | allow from all |
| Update Permission | not transferred |
| 5. Allied materials | |
| Mirror Repository | urlib.net/www/2011/03.29.20.55 |
| Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
| URL (untrusted data) | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/473/2015/isprsarchives-XL-3-W3-473-2015.pdf |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition format issn lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |