| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/3SKC6Q8 | |||
| Repository | sid.inpe.br/mtc-m21c/2019/01.23.17.25 | |||
| Last Update | 2019:01.23.17.25.39 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2019/01.23.17.25.39 | |||
| Metadata Last Update | 2020:01.06.11.42.08 (UTC) administrator | |||
| DOI | 10.3390/rs11010059 | |||
| ISSN | 2072-4292 | |||
| Citation Key | CassolCaMoArSiQuSh:2019:ReSeFo | |||
| Title | Retrieving secondary forest aboveground biomass from polarimetric ALOS-2 PALSAR-2 data in the Brazilian Amazon  | |||
| Year | 2019 | |||
| Month | jan. | |||
| Access Date | 2024, May 18 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 14804 KiB | |||
| 2. Context | ||||
| Author | 1 Cassol, Henrique Luis Godinho 2 Carreiras, João Manuel de Brito 3 Moraes, Elisabete Caria 4 Aragão, Luiz Eduardo Oliveira e Cruz de 5 Silva, Camila Valéria de Jesus 6 Quegan, Shaun 7 Shimabukuro, Yosio Edemir | |||
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JH24 4 5 6 7 8JMKD3MGP5W/3C9JJCQ | |||
| ORCID | 1 0000-0001-6728-4712 2 0000-0003-2737-9420 3 4 5 0000-0002-4867-9871 | |||
| Group | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 5 6 7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 National Centre for Earth Observation (NCEO) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Lancaster University 6 National Centre for Earth Observation (NCEO) 7 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 henrique@dsr.inpe.br 2 j.carreiras@sheffield.ac.uk 3 bete@ltid.inpe.br 4 laragao@dsr.inpe.br 5 6 S.Quegan@shef.ac.uk 7 yosio@dsr.inpe.br | |||
| Journal | Remote Sensing | |||
| Volume | 11 | |||
| Number | 1 | |||
| Secondary Mark | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I | |||
| History (UTC) | 2019-01-23 17:25:39 :: simone -> administrator :: 2019-01-23 17:25:40 :: administrator -> simone :: 2019 2019-01-23 17:26:28 :: simone -> administrator :: 2019 2020-01-06 11:42:08 :: administrator -> simone :: 2019 | |||
| 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 | backscattering L-band SAR polarimetry microwave Chapman-Richards model tropical forest | |||
| Abstract | Secondary forests (SF) are important carbon sinks, removing CO2 from the atmosphere through the photosynthesis process and storing photosynthates in their aboveground live biomass (AGB). This process occurring at large-scales partially counteracts C emissions from land-use change, playing, hence, an important role in the global carbon cycle. The absorption rates of carbon in these forests depend on forest physiology, controlled by environmental and climatic conditions, as well as on the past land use, which is rarely considered for retrieving AGB from remotely sensed data. In this context, the main goal of this study is to evaluate the potential of polarimetric (quad-pol) ALOS-2 PALSAR-2 data for estimating AGB in a SF area. Land-use was assessed through Landsat time-series to extract the SF age, period of active land-use (PALU), and frequency of clear cuts (FC) to randomly select the SF plots. A chronosequence of 42 SF plots ranging 328 years (20 ha) near the Tapajós National Forest in Pará state was surveyed to quantifying AGB growth. The quad-pol data was explored by testing two regression methods, including non-linear (NL) and multiple linear regression models (MLR).We also evaluated the influence of the past land-use in the retrieving AGB through correlation analysis. The results showed that the biophysical variables were positively correlated with the volumetric scattering, meaning that SF areas presented greater volumetric scattering contribution with increasing forest age. Mean diameter, mean tree height, basal area, species density, and AGB were significant and had the highest Pearson coefficients with the Cloude decomposition (3), which in turn, refers to the volumetric contribution backscattering from cross-polarization (HV) ( = 0.570.66, p-value < 0.001). On the other hand, the historical use (PALU and FC) showed the highest correlation with angular decompositions, being the Touzi target phase angle the highest correlation (Fs) ( = 0.37 and = 0.38, respectively). The combination of multiple prediction variables with MLR improved the AGB estimation by 70% comparing to the NL model (R2 adj. = 0.51; RMSE = 38.7 Mg ha1) bias = 2.1 37.9 Mg ha1 by incorporate the angular decompositions, related to historical use, and the contribution volumetric scattering, related to forest structure, in the model. The MLR uses six variables, whose selected polarimetric attributes were strongly related with different structural parameters such as the mean forest diameter, basal area, and the mean forest tree height, and not with the AGB as was expected. The uncertainty was estimated to be 18.6% considered all methodological steps of the MLR model. This approach helped us to better understand the relationship between parameters derived from SAR data and the forest structure and its relation to the growth of the secondary forest after deforestation events. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Retrieving secondary forest... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Retrieving secondary forest... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGP3W34R/3SKC6Q8 | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34R/3SKC6Q8 | |||
| Language | en | |||
| Target File | cassol_retrieving.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | allowpublisher allowfinaldraft | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/09.13.21.11 2 sid.inpe.br/bibdigital/2013/10.18.22.34 1 sid.inpe.br/mtc-m21/2012/07.13.14.45.11 1 | |||
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||