| 1. Identity statement | ||||
| Reference Type | Conference Abstract (Conference Proceedings) | |||
| Site | mtc-m16d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP7W/3CFAG75 | |||
| Repository | sid.inpe.br/mtc-m19/2012/08.17.16.35 | |||
| Last Update | 2015:03.20.11.59.17 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m19/2012/08.17.16.35.38 | |||
| Metadata Last Update | 2018:06.05.04.12.52 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | AguiarRudAdaMelSan:2012:DiImEs | |||
| Title | Digital Images to Estimate Degraded Pasture Levels  | |||
| Year | 2012 | |||
| Access Date | 2024, May 19 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 6 KiB | |||
| 2. Context | ||||
| Author | 1 Aguiar, Daniel Alves 2 Rudorff, Bernardo Friedrich Theodor 3 Adami, Marcos 4 Mello, Marcio Pupin 5 Santos, Juliana de Souza | |||
| Resume Identifier | 1 2 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 daniel@dsr.inpe.br 2 bernardo@ltid.inpe.br 3 marcos.adami@inpe.br 4 mello@dsr.inpe.br 5 julianass@dsr.inpe.br | |||
| e-Mail Address | marcelo.pazos@inpe.br | |||
| Conference Name | EARSeL Symposium, 32 and General Assembly, 36. | |||
| Book Title | Abstracts | |||
| History (UTC) | 2012-12-21 17:10:55 :: marcelo.pazos@sid.inpe.br -> administrator :: 2012 2018-06-05 04:12:52 :: administrator -> marcelo.pazos@inpe.br :: 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 | finaldraft | |||
| Keywords | Fractional cover of photosynthetic vegetation fraction cover of non-photosynthetic vegetation bare soil digital camera images | |||
| Abstract | Brazil has about 110 Mha of pasture land concentrated in the Cerrado and Amazon biomes, from which 70 Mha (63,3 per cent) are in the process of degradation or are already degraded. The adoption of good management practices improving the quality of these pastures increases the productivity of livestock with consequent release of land for food and energy crop expansion. Major causes of pasture degradation in tropical and subtropical climate are related to inadequate management of both pasture land and grazing, which are responsible for: the loss of pasture vigor, the exposure of bare soil, and the appearance of invasive plants. The assessment of pasture degradation levels using biophysical parameters and contextual information of the vegetation in not trivial, even at field level. Proximal sensing techniques might be a useful approach to assess the levels of pasture degradation. Therefore, a field campaign was carried out from September 26 to November 12, 2011, visiting 200 pasture samples in the Cerrado and Amazon biomes. For each visited sample the specie of pasture grass was identified along with measurements of biophysical parameters such as: plant height and dry biomass weight collected in three subsamples of 1 m2. Also three digital camera images were captured at 2 m above ground level in vertical position. The RGB (red, green blue) images will now be transformed into intensity, hue, and saturation (IHS) components. Slicing and non supervised classification techniques should be applied on the HIS components to estimate the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil. For each digital camera images, random samples will be selected and visually interpreted to evaluate the results from the slicing and classification procedures. With the estimated fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil the pasture degradation levels should be evaluated. It is expected that this methodology will be expedite and precise to contribute in the evaluation of pasture degradation levels in tropical and subtropical climate. | |||
| Area | SRE | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Digital Images to... | |||
| 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/8JMKD3MGP7W/3CFAG75 | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGP7W/3CFAG75 | |||
| Target File | aguiar_digital.pdf | |||
| User Group | marcelo.pazos@inpe.br | |||
| Reader Group | administrator marcelo.pazos@inpe.br | |||
| Visibility | shown | |||
| Read Permission | allow from all | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Linking | Trabalho Vinculado à Tese/Dissertação | |||
| Mirror Repository | sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53 | |||
| Next Higher Units | 8JMKD3MGPCW/3ER446E | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.41 1 | |||
| Host Collection | sid.inpe.br/mtc-m19@80/2009/08.21.17.02 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist callnumber conferencelocation copyholder copyright creatorhistory date descriptionlevel dissemination doi edition editor format isbn issn label language lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | marcelo.pazos@inpe.br | |||
| update | ||||