| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21d.sid.inpe.br (namespace prefix: upn:44QHRCS) | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/472G5DP | |||
| Repository | sid.inpe.br/mtc-m21d/2022/06.01.15.53 (restricted access) | |||
| Last Update | 2022:06.01.15.53.50 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2022/06.01.15.53.50 | |||
| Metadata Last Update | 2023:01.03.16.46.07 (UTC) administrator | |||
| DOI | 10.1016/j.rsase.2022.100764 | |||
| ISSN | 2352-9385 | |||
| Citation Key | RuizGaBrSiBoJa:2022:CoUsPh | |||
| Title | On the combined use of phenological metrics derived from different PlanetScope vegetation indices for classifying savannas in Brazil  | |||
| Year | 2022 | |||
| Access Date | 2025, Dec. 07 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 15510 KiB | |||
| 2. Context | ||||
| Author | 1 Ruiz, Isadora Haddad 2 Galvão, Lênio Soares 3 Breunig, Fábio Marcelo 4 Silva, Ricardo Dalagnol 5 Bourscheidt, Vandoir 6 Jacon, Aline Daniele | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHLF | |||
| Group | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 4 5 6 SER-SRE-DIPGR-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Universidade Federal de Santa Maria (UFSM) 4 5 Universidade Federal de S˜ao Carlos (UFSCar) 6 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 isadora.rhaddad@gmail.com 2 lenio.galvao@hotmail.com 3 4 ricds@hotmail.com 5 6 alinejacon@hotmail.com | |||
| Journal | Remote Sensing Applications: Society and Environment | |||
| Volume | 26 | |||
| Pages | e100764 | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 upn:44QHRCS | |||
| History (UTC) | 2022-06-01 15:53:50 :: simone -> administrator :: 2022-06-01 16:34:40 :: administrator -> simone :: 2022 2022-06-01 17:25:35 :: simone -> administrator :: 2022 2023-01-03 16:46:07 :: administrator -> simone :: 2022 | |||
| 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 | Land Surface Phenology Dry season Ensemble metrics Random Forest Savannas EVI NDVI | |||
| Abstract | Mapping of savannas in Brazil is challenging since there is no consensus on the best remote sensing strategy to deal with the spatial variability of some physiognomies and the spectral similarity of others. In this study, we evaluated the performance of 12 land surface phenology (LSP) metrics calculated from 70 cloud-free PlanetScope (PS) satellite images and three vegetation indices (VIs) for Random Forest (RF) classification of eight savanna physiognomies. The 12 LSP metrics were: the start (SOS), end (EOS), length (LOS), and mean (MGS) of greening season; the mean spring (MSP) and mean autumn (MAU); the VI peak (PEAK) and trough (TRG); the positions of the peak (POP) and trough (POT); and the rates of spring green-up (RSP) and autumn senescence (RAU). These metrics were calculated from the Green-Red Normalized Difference (GRND), Enhanced vegetation Index (EVI), and Normalized Difference Vegetation Index (NDVI). At the protected Ecological Station of ´Aguas Emendadas (ESAE) in central Brazil, we compared the LSP classification in the 20172018 seasonal cycle against the VI classification in the 2017 dry season using an existent reference vegetation map for accuracy assessment. Furthermore, we analyzed the performance of the individual and combined sets of VIs and their derived LSP metrics for RF classification of the savanna physiognomies. The results showed that LSP added gains of 19.3% (EVI), 13.1% (NDVI), and 5.4% (GRND) to dry-season VI classification. The overall accuracies of the individual and combined sets of VIs and their retrieved LSP metrics generated gains of 22.8% and 28.1% in relation to the dryseason EVI. In the classification combining LSP metrics, the most important ranked predictors originated from the NDVI and EVI (e.g., TRG, PEAK, MSP, MGS, and RSP). Our findings highlight the importance of the combined use of high spatial and temporal resolution data of the Planets satellite constellation for the classification of Brazilian savannas leveraging the information retrieved from vegetation phenology. However, when dense time series of a given sensor are not available for retrieving the phenological metrics, an alternative is to use combinedly different VIs calculated in the dry season, when the frequency of cloud cover is reduced over Brazilian savanna areas. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > On the combined... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > On the combined... | |||
| 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 | [2022]HADDAD.et.al..pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/46KUATE | |||
| Citing Item List | sid.inpe.br/bibdigital/2022/04.03.22.23 - 49 sid.inpe.br/bibdigital/2013/10.18.22.34 - 40 sid.inpe.br/mtc-m21/2012/07.13.14.53.28 - 11 | |||
| Dissemination | PORTALCAPES; SCOPUS. | |||
| 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 | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||