| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/49E6UJ5 | |||
| Repository | sid.inpe.br/mtc-m21d/2023/07.10.12.59 (restricted access) | |||
| Last Update | 2023:08.01.12.41.47 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2023/07.10.12.59.27 | |||
| Metadata Last Update | 2024:01.02.17.16.44 (UTC) administrator | |||
| DOI | 10.1007/s40333-023-0017-4 | |||
| ISSN | 1674-6767 | |||
| Citation Key | JesusKupBarHilRos:2023:EsAbBi | |||
| Title | Estimation of aboveground biomass of arboreal species in the semi-arid region of Brazil using SAR (synthetic aperture radar) images  | |||
| Year | 2023 | |||
| Month | June | |||
| Access Date | 2024, May 26 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 2290 KiB | |||
| 2. Context | ||||
| Author | 1 Jesus, Janisson B. de 2 Kuplich, Tatiana Mora 3 Barreto, Íkaro D. de C. 4 Hillebrand, Fernando L. 5 Rosa, Cristiano N. da | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJ9P | |||
| Group | 1 2 COESU-CGGO-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Universidade Federal do Rio Grande do Sul (UFRGS) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Universidade Federal Rural de Pernanbuco (UFRPE) 4 Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS) 5 Universidade Federal do Rio Grande do Sul (UFRGS) | |||
| Author e-Mail Address | 1 janisson.eng@gmail.com 2 tkuplich@gmail.com | |||
| Journal | Journal of Arid Land | |||
| Volume | 15 | |||
| Number | 6 | |||
| Pages | 695-709 | |||
| History (UTC) | 2023-07-10 13:00:34 :: simone -> administrator :: 2023 2023-07-13 13:03:04 :: administrator -> simone :: 2023 2023-08-01 12:41:47 :: simone -> administrator :: 2023 2024-01-02 17:16:44 :: administrator -> simone :: 2023 | |||
| 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 | C-band Caatinga coherent and incoherent attributes Sentinel-1 tropical dry forest | |||
| Abstract | The Caatinga biome is an important ecosystem in the semi-arid region of Brazil. It has significantly degraded due to human activities and is currently a region undergoing desertification. Thus, monitoring the variation in the Caatinga biome has become essential for its sustainable development. However, traditional methods for estimating aboveground biomass (AGB) are time-consuming and destructive. Remote sensing, such as optical and radar imaging, can estimate and correlate with vegetation. Nevertheless, radar imaging is still a novelty to be applied in estimating the AGB of this biome, which is an area with little research. Therefore, this study aimed to use Sentinel-1 images to estimate the AGB of the Caatinga biome in Sergipe State (northeastern Brazil) and to verify its influencing factors. Nineteen sample plots (30 m×30 m) were selected, and the stems of individuals with a circumference at breast height (1.3 m above the ground) equal to or greater than 6.0 cm were measured, and the AGB through an allometric equation was estimated. The Sentinel-1 images from 3 different periods (green, intermediate, and dry periods) were used to consider the phenological conditions of the Caatinga biome. All the pre-processing and extraction of attributes (co-polarized VV (vertical transmit and vertical receive), cross-polarized VH (vertical transmit and horizontal receive), and band ratio VH/VV backscatter, radar vegetation index, dual polarization synthetic aperture radar (SAR) vegetation index (DPSVI), entropy (H), and alpha angle (α)) were performed with Sentinels Application Platform. These attributes were used to estimate the AGB through simple and multiple linear regressions and evaluated by the coefficients of determination (R 2), correlation (r), and root mean squared error (RMSE). The results showed that the attributes individually had little ability to estimate the AGB of the Caatinga biome in the three periods. Combined with multiple regression, we found that the intermediate period presented the equation with the best results among the observed and estimated variables (R 2=0.73; r=0.85; RMSE=8.33 Mg/hm2), followed by the greenness period (R 2=0.72; r=0.85; RMSE=8.40 Mg/hm2). The attributes contributing to these equations were VH/VV, DPSVI, H, α, and co-polarized VV for the green period and cross-polarized VH for the intermediate period. The study showed that the Sentinel-1 images could be used to estimate the AGB of the Caatinga biome in the green and intermediate phenological periods since the SAR attributes highly correlated with the estimated variable (i.e., AGB) through multiple linear equations. ©. | |||
| Area | SRE | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGGO > Estimation of aboveground... | |||
| 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 | s40333-023-0017-4.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/46KUBT5 | |||
| Citing Item List | sid.inpe.br/bibdigital/2022/04.03.22.35 11 sid.inpe.br/mtc-m21/2012/07.13.15.00.48 1 | |||
| Dissemination | WEBSCI; PORTALCAPES; SCOPUS. | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes 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 | ||||