| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/43CA9BH | |||
| Repository | sid.inpe.br/mtc-m21c/2020/10.05.12.52 (restricted access) | |||
| Last Update | 2020:10.05.12.52.11 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2020/10.05.12.52.11 | |||
| Metadata Last Update | 2022:01.04.01.35.28 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| DOI | 10.1109/LAGIRS48042.2020.9165637 | |||
| ISBN | 978-172814350-7 | |||
| Citation Key | DoblasCarShiSanAra:2020:AsRaIn | |||
| Title | Assessment of rainfall influence on sentinel-1 time series on amazonian tropical forests aiming deforestation detection improvement  | |||
| Year | 2020 | |||
| Access Date | 2024, May 18 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 3099 KiB | |||
| 2. Context | ||||
| Author | 1 Doblas, Juan Prieto 2 Carneiro, Arian Ferreira 3 Shimabukuro, Yosio Edemir 4 Sant'Anna, Sidnei João Siqueira 5 Aragão, Luiz Eduardo Oliveira e Cruz de | |||
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJCQ 4 8JMKD3MGP5W/3C9JJ8N | |||
| Group | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 5 DIDSR-CGOBT-INPE-MCTIC-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) | |||
| Author e-Mail Address | 1 juan.doblas@inpe.br 2 arian.carneiro@inpe.br 3 yosio.shimabukuro@inpe.br 4 sidnei.santanna@inpe.br 5 luiz.aragao@inpe.br | |||
| Conference Name | IEEE Latin American GRSS; ISPRS Remote Sensing Conference | |||
| Conference Location | Santiago, Chile | |||
| Date | 21-26 Mar. | |||
| Publisher | IEEE | |||
| Pages | 397-402 | |||
| Book Title | Proceedings | |||
| History (UTC) | 2020-10-05 12:52:11 :: simone -> administrator :: 2022-01-04 01:35:28 :: 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 | |||
| Keywords | Sentinel-1 Time series Change Detection Rainfall Influence Forests Amazon | |||
| Abstract | This work aims to determinate the relationship between C-band SAR backscattering measurements over Amazonian tropical forests and hourly precipitation rates, and to study the feasibility of a SAR-anomaly masking method based on orbital rain measurements. To do so, a comprehensive dataset of ESAs Sentinel-1 backscattering data and the concomitant GPM-IMERG precipitation data was collected and analysed. Backscattering anomalies were characterized in a statistically meaningful way. GAM models were then adjusted to the backscatter-rain data pairs. The computed models show a positive correlation between non-anomalous backscattering values and accumulated rain, of approximately 0,2 dB/mm·h-1 and 0,4 dB/mm·h-1 for VV and VH polarizations. Negative anomalies, which can easily mislead deforestation algorithms, have a strong negative correlation with rain rate observed at the time of the SAR acquisition. This is especially true for VV measurements. The subsequent anomaly masking procedure, based on computed accumulated and hourly rain thresholding, yielded unsatisfactory results. These poor results are probably due to the coarse resolution of the 0.1° GPM-IMERG data, which is insufficient to track anomaly-generating atmospheric events such as storm rain cells. Rainrelated changes in SAR backscattering can compromise deforestation detection algorithms, and further research and sensor developing is needed to increase spatial resolution of precipitation measures, to reach an optimal backscattering anomaly screening. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Assessment of rainfall... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Assessment of rainfall... | |||
| 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 | doblas_assessment.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Read Permission | deny from all | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.15.00.20 5 | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format 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 | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||