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1. Identity statement
Reference TypeePrint (Electronic Source)
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/mtc-m17@80/2007/12.07.18.12
Last Update2007:12.07.18.12.58 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m17@80/2007/12.07.18.12.56
Metadata Last Update2018:06.05.04.02.21 (UTC) administrator
Citation KeyNumataRobChaLeôSoa::ChPaBi
TitleCharacterization of pasture biophysical properties and the impact of grazing intensity
Last Update Date2007-12-08
Access Date2024, Dec. 26
Type of MediumOn-line
Number of Files1
Size3289 KiB
2. Context
Author1 Numata, Izaya
2 Roberts, Dar
3 Chadwick, Oliver A.
4 Leônidas, F. C.
5 Soares, J. V.
ProducerInstituto Nacional de Pesquisas Espaciais
CitySão José dos Campos
Stage of Alternate Publicationaccepted
ProgressePrint update
History (UTC)2007-12-07 18:12:58 :: marcia@dsr.inpe.br -> administrator ::
2018-06-05 04:02:21 :: administrator -> marcia@dsr.inpe.br ::
3. Content and structure
Is the master or a copy?is the master
Content Stagework-in-progress
Transferable1
KeywordsPasture degradation
Grass biomass
Spectral mixture analysis
Grazing intensity
AbstractRemote sensing has the potential of improving our ability to map and monitor pasture degradation. Pasture degradation is one of the most important problems in the Amazon, yet the manner in which grazing intensity, edaphic conditions and land‐use age impact pasture biophysical properties, and our ability to monitor them using remote sensing is poorly known. We evaluate the connection between field grass biophysical measures and remote sensing, and investigate the impact of grazing intensity on pasture biophysical measures in Rondônia, in the Brazilian Amazon. Above ground biomass, canopy water content and height were measured in different pasture sites during the dry season. Using Landsat Thematic Mapper (TM) data, four spectral vegetation indices and fractions derived from spectral mixture analysis, i.e., Non‐Photosynthetic Vegetation (NPV), Green Vegetation (GV), Soil, Shade, and NPV+Soil, were calculated and compared to field grass measures. For grazed pastures under dry conditions, the Normalized Difference Infrared Index (NDII5 and NDII7), had higher correlations with the biophysical measures than the Normalized Difference Vegetation Index (NDVI) and the Soil‐Adjusted Vegetation Index (SAVI). NPV had the highest correlations with all field measures, suggesting this fraction is a good indicator of pasture characteristics in Rondônia. Pasture height was correlated to the Shade fraction. A conceptual model was built for pasture biophysical change using three fractions, i.e., NPV, Shade and GV to characterize possible pasture degradation processes in Rondônia. Based upon field measures, grazing intensity had the most significant impact on pasture biophysical properties compared to soil order and land‐use age. The impact of grazing on pastures in the dry season could be potentially measured by using remotely sensed measures such as NPV. © 2007 Elsevier Inc. All rights reserved.
AreaSRE
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/sid.inpe.br/mtc-m17@80/2007/12.07.18.12
zipped data URLhttp://urlib.net/zip/sid.inpe.br/mtc-m17@80/2007/12.07.18.12
Languageen
Target Filev1.pdf
User Groupmarcia@dsr.inpe.br
administrator
Visibilityshown
Update Permissiontransferred to ePrint update
5. Allied materials
Host Collectionlcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
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