| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | mtc-m12.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 6qtX3pFwXQZ3r59YD6/JEevk |
| Repository | sid.inpe.br/iris@1912/2006/01.03.11.43 (restricted access) |
| Last Update | 2006:01.26.10.09.00 (UTC) marciana |
| Metadata Repository | sid.inpe.br/iris@1912/2006/01.03.11.43.12 |
| Metadata Last Update | 2018:06.05.00.40.36 (UTC) administrator |
| Secondary Key | INPE-13386-PRE/8601 |
| DOI | 10.1080/01431160500239107 |
| ISSN | 0143-1161 |
| Citation Key | KuplichCurrAtki:2005:ReSAIm |
| Title | Relating SAR image texture to the biomass of regenerating tropical forests  |
| Project | Sensoriamento Remoto Aplicado à Ecossistemas Terrestres |
| Year | 2005 |
| Month | Nov. |
| Access Date | 2024, May 19 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 603 KiB |
| 2. Context | |
| Author | 1 Kuplich, Tatiana Mora 2 Curran, P. J. 3 Atkinson, P. M. |
| Resume Identifier | 1 8JMKD3MGP5W/3C9JJ9P |
| Group | 1 DSR-INPE-MCT-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto (INPE, DSR) 2 School of Geography, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom 3 School of Geography, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom |
| Journal | International Journal of Remote Sensing |
| Volume | 26 |
| Number | 21 |
| Pages | 4829-4854 |
| History (UTC) | 2006-03-17 17:01:18 :: sergio -> administrator :: 2006-09-03 21:43:23 :: administrator -> sergio :: 2007-04-23 21:07:12 :: sergio -> administrator :: 2008-06-09 19:20:55 :: administrator -> banon :: 2008-11-05 15:16:13 :: banon -> administrator :: 2014-08-16 13:40:56 :: administrator -> marciana :: 2005 2016-09-14 12:31:41 :: marciana -> administrator :: 2005 2018-06-05 00:40:36 :: administrator -> marciana :: 2005 |
| 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 | Biomass Carbon Image analysis Plants (botany) Radar imaging Synthetic aperture radar Vegetation Image texture L-band radar Tropical forest Remote sensing backscatter biomass image analysis remote sensing synthetic aperture radar tropical forest Amazonia South America |
| Abstract | An accurate global carbon budget requires information on terrestrial carbon sink strength. Regenerating tropical forests are known to be important terrestrial carbon sinks but information on their location, extent and biomass (from which carbon content can be estimated) is incomplete. The use of remotely sensed data in optical wavelengths has been of limited use due to both the weak relationship between optical radiation and forest biomass and near-constant cloud cover in the tropics. L-band Synthetic Aperture Radar (SAR) backscatter, however, is related positively to biomass (but only up to an asymptote of around 40-90 Tha(-1)) and can be obtained independently of cloud cover. Both canopy structure and biomass change over time as pioneer species are replaced by early and late regenerating species. These structural changes are related to an increase in (i) tree height, (ii) tree species richness and (iii) canopy thickness and influence the roughness of the canopy surface and consequently SAR image texture. Therefore, we investigated the degree to which textural information could be used to increase the correlation between image tone (backscatter) and biomass. Field data were used to estimate the biomass of 37 regenerating forests plots in Brazilian Amazonia. Texture measures derived from local statistics, the grey level co-occurrence matrix (GLCM) and the variogram were evaluated using simulated images on the basis of their ability to identify significant differences in image texture independently of image contrast. The selected texture measures were applied to L-band JERS-1 (Japanese Earth Resources Satellite) SAR images and the correlation between backscatter and biomass was determined for regenerating tropical forests. A strong correlation was found for the texture measures and biomass. The r(a)(2) (adjusted coefficient of determination), measuring the correlation between backscatter and biomass, increased from 0.74 to 0.82 with the addition of GLCM-derived contrast. The addition of image texture (GLCM-derived contrast) to image tone (backscatter) potentially increases the accuracy with which JERS-1 SAR data can be used to estimate biomass in tropical forests. |
| Area | SRE |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Relating SAR image... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | en |
| Target File | TRES_26_21_13.pdf |
| User Group | administrator banon sergio |
| Reader Group | administrator marciana |
| Visibility | shown |
| Copy Holder | SID/SCD |
| 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/3ER446E |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.15.00.48 1 sid.inpe.br/bibdigital/2013/09.13.21.11 1 |
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
| Host Collection | sid.inpe.br/banon/2001/04.06.10.52 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |