| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | J8LNKAN8RW/39RSDMH |
| Repository | dpi.inpe.br/plutao/2011/06.11.14.22 (restricted access) |
| Last Update | 2011:12.16.16.47.41 (UTC) marciana |
| Metadata Repository | dpi.inpe.br/plutao/2011/06.11.14.22.07 |
| Metadata Last Update | 2018:06.05.00.01.21 (UTC) administrator |
| Secondary Key | INPE--PRE/ |
| DOI | 10.1080/01431160903474921 |
| ISSN | 0143-1161 |
| Label | lattes: 1913003589198061 3 AndersonAraShiAlmHue:2011:FrImMo |
| Citation Key | AndersonAraShiAlmHue:2011:FrImMo |
| Title | Fraction images for monitoring intra-annual phenology of different vegetation physiognomies in Amazonia  |
| Project | (CAPES)[BEX4018052]; BECA/IEB[BECA-B/2006/01/BDE/04] |
| Year | 2011 |
| Month | Jan. |
| Access Date | 2024, May 18 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 6514 KiB |
| 2. Context | |
| Author | 1 Anderson, Liana O. 2 Aragão, Luiz O C 3 Shimabukuro, Yosio Edemir 4 Almeida, Samuel 5 Huete, Alfredo |
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJCQ |
| Group | 1 2 3 DSR-OBT-INPE-MCT-BR |
| Affiliation | 1 Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England 2 Univ Exeter, Sch Geog, Exeter EX4 4RJ, Devon, England 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Museu Paraense Emilio Goeldi, Belem, Para, Brazil 5 Univ Arizona, Dept Soil Water & Environm Sci, Tucson, AZ USA |
| Author e-Mail Address | 1 liana.anderson@ouce.ox.ac.uk 2 3 yosio@ltid.inpe.br |
| e-Mail Address | yosio@ltid.inpe.br |
| Journal | International Journal of Remote Sensing |
| Volume | 32 |
| Number | 2 |
| Pages | 387-408 |
| Secondary Mark | B3_BIOTECNOLOGIA A1_CIÊNCIA_DA_COMPUTAÇÃO A2_CIÊNCIAS_AGRÁRIAS_I B2_CIÊNCIAS_BIOLÓGICAS_I B1_ECOLOGIA_E_MEIO_AMBIENTE B1_ENGENHARIAS_I B2_ENGENHARIAS_II B1_ENGENHARIAS_III A2_ENGENHARIAS_IV B1_GEOCIÊNCIAS A1_GEOGRAFIA A2_INTERDISCIPLINAR B1_ODONTOLOGIA A1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_SAÚDE_COLETIVA |
| History (UTC) | 2011-06-11 17:43:48 :: lattes -> administrator :: 2011 2011-06-15 03:29:10 :: administrator -> marciana :: 2011 2011-12-16 16:48:12 :: marciana -> administrator :: 2011 2016-06-04 01:07:44 :: administrator -> marciana :: 2011 2016-08-19 13:13:44 :: marciana -> administrator :: 2011 2018-06-05 00:01:21 :: administrator -> marciana :: 2011 |
| 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 Cerrado Enhanced vegetation index Forest inventory Forest inventory data Fraction images Intra-annual variability Land-cover types Linear spectral mixture model Moderate resolution imaging spectroradiometer Normalized difference vegetation index Rainfall data Seasonality Soil fractions Structural change Tropical forest Vegetation fractions Vegetation index Vegetation phenology |
| Abstract | In this study we investigate the potential of fraction images derived from a linear spectral mixture model to detect vegetation phenology in Amazonia, and evaluate their relationships with the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices. Time series of MODIS 250-m data over three contrasting land cover types in the Amazon were used in conjunction with rainfall data, a land cover map and a forest inventory survey to support the interpretation of our findings. Each vegetation physiognomy was characterized by a particular intra-annual variability detected by a combination of the fraction images. Both vegetation and shade fractions were important to evaluate the seasonality of the open tropical forest (OTF). The association of these results with forest inventory data and the literature suggests that Enhanced Vegetation Index (EVI) and vegetation fraction images are sensitive to structural changes in the canopy of OTF. In cerrado grassland (CG) the phenology was better characterized by combined soil and vegetation fractions. Soybean (SB) areas were characterized by the highest ranges in the vegetation and soil fraction images. Vegetation fraction and vegetation indices for the OTF showed a significant positive relationship with EVI but not with Normalized Difference Vegetation Index (NDVI). Significant relationships for vegetation fraction and vegetation indices were also found for the CG and soybean areas. In contrast to vegetation index approaches to monitoring phenology, fraction images provide additional information that allows a more comprehensive exploration of the spectral and structural changes in vegetation formations. |
| Area | SRE |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Fraction images for... |
| 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 | LIANA FRACTION IMAGES.pdf |
| User Group | administrator lattes marciana |
| Reader Group | administrator marciana |
| Visibility | shown |
| 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 |
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Notes | Article Number: PII 933109041 |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |