1. Identity statement | |
Reference Type | ePrint (Electronic Source) |
Site | mtc-m16b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Repository | sid.inpe.br/mtc-m17@80/2007/12.07.18.12 |
Last Update | 2007:12.07.18.12.58 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m17@80/2007/12.07.18.12.56 |
Metadata Last Update | 2018:06.05.04.02.21 (UTC) administrator |
Citation Key | NumataRobChaLeôSoa::ChPaBi |
Title | Characterization of pasture biophysical properties and the impact of grazing intensity |
Last Update Date | 2007-12-08 |
Access Date | 2024, Dec. 26 |
Type of Medium | On-line |
Number of Files | 1 |
Size | 3289 KiB |
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2. Context | |
Author | 1 Numata, Izaya 2 Roberts, Dar 3 Chadwick, Oliver A. 4 Leônidas, F. C. 5 Soares, J. V. |
Producer | Instituto Nacional de Pesquisas Espaciais |
City | São José dos Campos |
Stage of Alternate Publication | accepted |
Progress | ePrint 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 :: |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | work-in-progress |
Transferable | 1 |
Keywords | Pasture degradation Grass biomass Spectral mixture analysis Grazing intensity |
Abstract | Remote 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. |
Area | SRE |
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 | |
data URL | http://urlib.net/ibi/sid.inpe.br/mtc-m17@80/2007/12.07.18.12 |
zipped data URL | http://urlib.net/zip/sid.inpe.br/mtc-m17@80/2007/12.07.18.12 |
Language | en |
Target File | v1.pdf |
User Group | marcia@dsr.inpe.br administrator |
Visibility | shown |
Update Permission | transferred to ePrint update |
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5. Allied materials | |
Host Collection | lcp.inpe.br/ignes/2004/02.12.18.39 cptec.inpe.br/walmeida/2003/04.25.17.12 |
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6. Notes | |
Empty Fields | accessyear affiliation alternatepublication archivingpolicy archivist contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition electronicmailaddress format group identifier isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes orcid parameterlist parentrepositories previousedition previouslowerunit project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype session shorttitle sponsor subject tertiarymark tertiarytype url versiontype year |
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7. Description control | |
e-Mail (login) | marcia@dsr.inpe.br |
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