| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br (namespace prefix: upn:3Q3U5H8) | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/3UMEGPP | |||
| Repository | sid.inpe.br/mtc-m21c/2020/01.03.17.14 (restricted access) | |||
| Last Update | 2020:01.03.17.14.49 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2020/01.03.17.14.49 | |||
| Metadata Last Update | 2022:01.04.01.34.56 (UTC) administrator | |||
| DOI | 10.1080/01431161.2019.1697004 | |||
| ISSN | 0143-1161 | |||
| Citation Key | GueriniFoKuplQuad:2020:EsNaGr | |||
| Title | Estimating natural grassland biomass by vegetation indices using Sentinel 2 remote sensing data  | |||
| Year | 2020 | |||
| Month | Apr. | |||
| Access Date | 2025, Dec. 09 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 2594 KiB | |||
| 2. Context | ||||
| Author | 1 Guerini Filho, Marildo 2 Kuplich, Tatiana Mora 3 Quadros, Fernando L. F. de | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJ9P | |||
| Group | 1 2 CRCRS-COCRE-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Universidade Federal do Rio Grande do Sul (UFRGS) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Universidade Federal de Santa Maria (UFSM) | |||
| Author e-Mail Address | 1 mfilho1@universo.univates.br 2 tatiana.kuplich@inpe.br | |||
| Journal | International Journal of Remote Sensing | |||
| Volume | 41 | |||
| Number | 8 | |||
| Pages | 2861-2876 | |||
| Secondary Mark | A1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_INTERDISCIPLINAR A2_GEOGRAFIA A2_ENGENHARIAS_IV A2_ENGENHARIAS_III A2_ENGENHARIAS_I A2_CIÊNCIAS_AMBIENTAIS A2_CIÊNCIA_DA_COMPUTAÇÃO B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_GEOCIÊNCIAS B1_ENGENHARIAS_II B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B2_SAÚDE_COLETIVA B2_ODONTOLOGIA B3_CIÊNCIAS_BIOLÓGICAS_I B3_BIOTECNOLOGIA B5_ASTRONOMIA_/_FÍSICA | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 upn:3Q3U5H8 | |||
| History (UTC) | 2020-01-03 17:14:49 :: simone -> administrator :: 2020-01-03 17:14:49 :: administrator -> simone :: 2019 2020-01-03 17:15:50 :: simone -> administrator :: 2019 2020-01-05 07:20:56 :: administrator -> simone :: 2019 2020-03-03 13:23:02 :: simone :: 2019 -> 2020 2020-03-03 13:23:02 :: simone -> administrator :: 2020 2022-01-04 01:34:56 :: administrator -> simone :: 2020 | |||
| 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 | |||
| Abstract | Estimation of natural grassland biomass was carried out in a region located in the Brazilian Pampa, using field and remote sensing data and statistical models. The study was conducted in a grassland with a rotational grazing system, with grazing rest interval based on accumulated thermal sums 375 and 750 Degrees Day (DD). One image of the MSI (MultiSpectral Instrument) sensor aboard the Sentinel-2 satellite was evaluated and calibrated by 57 sampled biomass units collected in the field. Initially, the image was preprocessed, with extraction of the reflectance values of the Sentinel-2 bands, re-sampling of the pixels to 20 metres and calculation of vegetation indices. Data statistical analyses indicated significant correlations between field and remote sensing data. Multiple linear regression analyses were applied at each grazing rest interval using the remote sensing variables as predictors (independent) of the biomass (dependent). Among the variables, it is important to highlight the significant correlation of the red-edge bands with the biomass. The equations for estimating green biomass-presented coefficients of determination (R2 ) of R2 = 0.51 for the rest interval 375 DD and R2 = 0.65 for the rest interval 750 DD, while the senescent and total biomass generated adjustments with R2 ≤ 0.50 for the two rest intervals. Biomass estimates results were satisfactory, regardless of the interval evaluated. Sampling schemes at different seasons of the year and further spectral and field variables (spectral and biomass) are suggested to improve even more the accuracy of the estimates. | |||
| Area | SRE | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRS > Estimating natural grassland... | |||
| 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 | guerini_estimating.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher denyfinaldraft12 | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3EUFCFP | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/10.04.21.53 - 39 sid.inpe.br/mtc-m21/2012/07.13.15.00.48 - 23 | |||
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes 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 | |||
| update | ||||