1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | mtc-m12.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZGivnJRY/M6mjD |
Repository | sid.inpe.br/mtc-m12@80/2006/08.08.19.43 (restricted access) |
Last Update | 2006:08.08.19.43.10 (UTC) marciana |
Metadata Repository | sid.inpe.br/mtc-m12@80/2006/08.08.19.43.11 |
Metadata Last Update | 2018:06.05.00.40.46 (UTC) administrator |
Secondary Key | INPE-13966-PRE/9141 |
DOI | 10.1109/IGARSS.2006.177 |
Citation Key | ShimabukuroAragWill:2006:MeVaSo |
Title | Meso-scale variability of soils and forest canopy properties is connected to geomorphologic features in eastern Amazonia |
Format | On-line |
Year | 2006 |
Access Date | 2024, May 18 |
Secondary Type | PRE CI |
Number of Files | 1 |
Size | 487 KiB |
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2. Context | |
Author | 1 Shimabukuro, Yosio Edemir 2 Aragão, Luiz Eduardo Oliveira e Cruz de 3 Williams, Mathew |
Resume Identifier | 1 8JMKD3MGP5W/3C9JJCQ |
Group | 1 DSR-INPE-MCT-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais. Divisão de Sensoriamento Remoto 2 University of Oxford, Centre for the Environment, Dyson Perrins Building, S. Parks Road, Oxford OX1 3QY, United Kingdom 3 School of GeoSciences, Darwin Building, University of Edinburgh, Edinburgh EH9 3JU, United Kingdom |
Conference Name | International Geoscience and Remote Sensing Symposium (IGARSS); Canadian Symposium on Remote Sensing, 28 |
Conference Location | Denver |
Date | 31 July - 4 Aug. |
Publisher | IEEE Geoscience and Remote Sensing Society,Canadian Remote Sensing Society,National Aeronautics and Space Administration, NASA,National Oceanic and Atmospheric Administration,Office of Naval Research |
Pages | 675-678 |
Book Title | Proceedings |
Organization | IEEE |
History (UTC) | 2006-08-08 19:43:11 :: marciana -> administrator :: 2006-09-02 00:50:19 :: administrator -> marciana :: 2008-04-04 14:48:22 :: marciana -> administrator :: 2013-09-14 01:58:57 :: administrator -> marciana :: 2006 2014-09-05 18:13:22 :: marciana -> administrator :: 2006 2016-06-04 23:30:01 :: administrator -> marciana :: 2006 2016-08-17 17:16:27 :: marciana -> administrator :: 2006 2018-06-05 00:40:46 :: administrator -> marciana :: 2006 |
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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 | Amazonia SRTM LAI soil texture LBA |
Abstract | In this study we investigated the relationships between landscape features such as terrain elevation and slope with two variables that drives forest productivity, soil texture and leaf area index (LAI). The study was carried out at the Tapajós region in Pará State, eastern Amazonia. Twenty-four 0.25 ha plots were sampled along a ~150 km north-south transect in October 2002. Soil samples were collected (0-10 cm) in three random points in each plot for texture analysis. LAI was measured at 25 points regularly distributed in each plot. The geomorphologic attributes for each plot were extracted from the Shuttle Radar Topography Mission (SRTM) data linearly resample to 10 m spatial resolution. Terrain slope was linear and negatively related to the soil clay content (r2=0.73). Soil sand content had an expected opposite pattern (r2=0.72). The soil content of clay and sand along the elevation gradient can be strongly explained by a cubic polynomial curve (r2=0.82 and 0.81, respectively). LAI showed to be a logarithmic function of slope (r2=0.61), excluding plots located in the Valley regions. Moreover, LAI showed a linear and positive relationship with soil clay content (r2=0.52). Similarly to the relationships found between terrain elevation and soil texture, the 3rd order polynomial could explain 64% of the LAI variability over the Tapajós. Therefore, we concluded that topography is a major driver of the patterns of soil texture at the landscape scale and the combined effect of topography and soil can largely explain the patterns of LAI over the Tapajós. The combination of SRTM data and field-based information has the potential to increase the accuracy of ecosystem scale estimations of forest productivity in the Amazonia. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Meso-scale variability of... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | en |
Target File | 02_16A02.pdf |
User Group | administrator marciana |
Reader Group | administrator marciana |
Visibility | shown |
Copy Holder | SID/SCD |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3ER446E |
Host Collection | sid.inpe.br/banon/2001/04.06.10.52 |
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6. Notes | |
Empty Fields | archivingpolicy archivist callnumber copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor electronicmailaddress isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume |
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7. Description control | |
e-Mail (login) | marciana |
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