| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | J8LNKAN8RW/3D53ESE |
| Repository | dpi.inpe.br/plutao/2012/11.28.15.38 |
| Last Update | 2013:01.17.14.02.29 (UTC) marciana |
| Metadata Repository | dpi.inpe.br/plutao/2012/11.28.15.38.01 |
| Metadata Last Update | 2022:04.11.18.00.43 (UTC) marciana |
| Secondary Key | INPE--PRE/ |
| DOI | 10.3390/rs4092492 |
| ISSN | 2072-4292 |
| Label | lattes: 8408207746528834 1 BernardesAdMoAdGiRu:2012:MoBiBe |
| Citation Key | BernardesMorAdaGiaRud:2012:MoBiBe |
| Title | Monitoring Biennial Bearing Effect on Coffee Yield Using MODIS Remote Sensing Imagery  |
| Year | 2012 |
| Access Date | 2024, May 14 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 881 KiB |
| 2. Context | |
| Author | 1 Bernardes, Tiago 2 Moreira, Maurício Alves 3 Adami, Marcos 4 Giarolla, Angélica 5 Rudorff, Bernardo Friedrich Theodor |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHT4 3 4 8JMKD3MGP5W/3C9JGHP 5 8JMKD3MGP5W/3C9JGKP |
| Group | 1 DSR-OBT-INPE-MCTI-GOV-BR 2 DSR-OBT-INPE-MCTI-GOV-BR 3 DSR-OBT-INPE-MCTI-GOV-BR 4 DSR-OBT-INPE-MCTI-GOV-BR 5 DSR-OBT-INPE-MCTI-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 tiago.bernardes@cemaden.gov.br 2 mauricio@dsr.inpe.br |
| e-Mail Address | tiago.bernardes@cemaden.gov.br |
| Journal | Remote Sensing |
| Volume | 4 |
| Number | 9 |
| Pages | 2492-2509 |
| History (UTC) | 2012-11-28 23:06:26 :: lattes -> marciana :: 2012 2013-01-17 14:02:29 :: marciana -> administrator :: 2012 2016-06-04 01:08:12 :: administrator -> marciana :: 2012 2016-10-11 00:24:12 :: marciana -> administrator :: 2012 2018-06-05 00:02:03 :: administrator -> marciana :: 2012 |
| 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 | Foliar biomass Growing season High yield Landsat images Leaf biomass Minas Gerais Minimum value Previous year Pure pixel Reference map Remote sensing imagery Vegetation index Wavelet filtering Pixels Radiometers Remote sensing Vegetation Satellite imagery |
| Abstract | Coffee is the second most valuable traded commodity worldwide. Brazil is the worlds largest coffee producer, responsible for one third of the world production. A coffee plot exhibits high and low production in alternated years, a characteristic so called biennial yield. High yield is generally a result of suitable conditions of foliar biomass. Moreover, in high production years one plot tends to lose more leaves than it does in low production years. In both cases some correlation between coffee yield and leaf biomass can be deduced which can be monitored through time series of vegetation indices derived from satellite imagery. In Brazil, a comprehensive, spatially distributed study assessing this relationship has not yet been done. The objective of this study was to assess possible correlations between coffee yield and MODIS derived vegetation indices in the Brazilian largest coffee-exporting province. We assessed EVI and NDVI MODIS products over the period between 2002 and 2009 in the south of Minas Gerais State whose production accounts for about one third of the Brazilian coffee production. Landsat images were used to obtain a reference map of coffee areas and to identify MODIS 250 m pure pixels overlapping homogeneous coffee crops. Only MODIS pixels with 100% coffee were included in the analysis. A wavelet-based filter was used to smooth EVI and NDVI time profiles. Correlations were observed between variations on yield of coffee plots and variations on vegetation indices for pixels overlapping the same coffee plots. The vegetation index metrics best correlated to yield were the amplitude and the minimum values over the growing season. The best correlations were obtained between variation on yield and variation on vegetation indices the previous year (R = 0.74 for minEVI metric and R = 0.68 for minNDVI metric). Although correlations were not enough to estimate coffee yield exclusively from vegetation indices, trends properly reflect the biennial bearing effect on coffee yield. Keywords: remote sensing; coffee yield; vegetation indices; wavelet filtering. |
| Area | SRE |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Monitoring Biennial Bearing... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/J8LNKAN8RW/3D53ESE |
| zipped data URL | http://urlib.net/zip/J8LNKAN8RW/3D53ESE |
| Language | en |
| Target File | remotesensing-04-02492.pdf |
| User Group | administrator lattes marciana |
| Visibility | shown |
| Archiving Policy | allowpublisher allowfinaldraft |
| Read Permission | allow from all |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3ER446E |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.56.26 2 sid.inpe.br/mtc-m21/2012/07.13.14.41 1 |
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX. |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |