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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3D52UD2
Repositorydpi.inpe.br/plutao/2012/11.28.12.54
Last Update2013:01.30.12.37.56 (UTC) marciana
Metadata Repositorydpi.inpe.br/plutao/2012/11.28.12.54.23
Metadata Last Update2018:06.05.00.01.53 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.5194/isprsarchives-XXXIX-B8-339-2012
ISBN2194-9050
2194-9042
ISSN1682-1777
Labellattes: 3334663396882053 1 RissoRudAdaAguFre:2012:MOTISE
Citation KeyRissoRudAdaAguFre:2012:MoTiSe
TitleModis time series for land use change detection in fields of the amazon soy moratorium
Year2012
Access Date2024, May 19
Secondary TypePRE CI
Number of Files1
Size1361 KiB
2. Context
Author1 Risso, Joel
2 Rudorff, Bernardo Friedrich Theodor
3 Adami, Marcos
4 Aguiar, Ana Paula Dutra
5 Freitas, Ramon Morais de
Resume Identifier1
2 8JMKD3MGP5W/3C9JGKP
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4 CST-CST-INPE-MCTI-GOV-BR
5 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 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 Address1 risso@dsr.inpe.br
EditorH., Shimoda
M., Shortis
e-Mail Addressrisso@dsr.inpe.br
Conference NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
Conference LocationMelbourne
Date25 Aug. 01 Sept. 2012
Volume39-B8 - XXII ISPRS
Pages339-344
Book TitleProceedings
OrganizationESRI; Hexagon; RMIT University, School of Mathematical and Geospatial Sciences
Secondary MarkB4_INTERDISCIPLINAR
History (UTC)2012-11-28 23:06:19 :: lattes -> marciana :: 2012
2012-12-21 13:00:12 :: marciana -> administrator :: 2012
2013-01-30 12:14:31 :: administrator -> marciana :: 2012
2013-01-30 12:37:56 :: marciana -> administrator :: 2012
2016-06-04 01:08:07 :: administrator -> marciana :: 2012
2016-10-11 00:14:59 :: marciana -> administrator :: 2012
2018-06-05 00:01:53 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAgriculture
Crops
Cultivation
Geometry
Land use
Photogrammetry
Pixels
Radiometers
Remote sensing
Space optics
Space research
Time series
Trajectories
Vegetation
Degraded forests
Enhanced vegetation index
Forest degradation
Land cover
Modis time series
Multi-temporal
Temporal profile
Vegetation index
Forestry
AbstractA virtual globe to visualize time series of pixels from the MODIS sensor over the South American continent is available in the Internet and was developed at the Brazilian Institute for Space Research. The MODIS images acquired since the year 2000 were transformed to a vegetation index (EVI2, two-band Enhanced Vegetation Index) with pixel size of 250 m. This study aims to use these time series to identify land use changes (LUC) based on the temporal profile of EVI2 values of deforested polygons between 2007 and 2011 within the context of the Soy Moratorium. Deforested polygons were divided in two strata: with and without soy in crop year 2010/11. From the MODIS/EVI2 time series the following classes were identified: forest, degraded forest, total clearing of the area, regrowth of forest, regrowth with pasture, pasture, agriculture, and soy. For stratum 1, the dominant LUC trajectory was: forest degradation regrowth / regrowth with pasture. In the second stratum we observed two main LUC trajectories: 1) forest degraded forest total clearing of the area annual crop (rice) soy; and 2) forest total clearing of the area annual crop (rice) soy. For most samples of stratum 2 the LUC trajectory was agriculture (e.g., rice) between total clearing and soy cultivation. These patterns occurred on average over two harvests, which may be considered the necessary time for soil correction and total removal of above ground stumps and roots to enable mechanized soy harvesting. The fast evaluation of one hundred polygons during 11 years was only possible due to the virtual globe to visualize the MODIS time series that proved to be an important tool to improve the understanding of LUC dynamics in the Amazon region. Conference Paper (PDF, 1360 KB) Citation: Risso, J., Rudorff, B. F. T., Adami, M., Aguiar, A. P. D., and Freitas, R. M.: MODIS TIME SERIES FOR LAND USE CHANGE DETECTION IN FIELDS OF THE AMAZON SOY MORATORIUM, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 339-344, doi:10.5194/isprsarchives-XXXIX-B8-339-2012, 2012. Bibtex EndNote Reference Manager XML.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/3D52UD2
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3D52UD2
Languageen
User Groupadministrator
lattes
marciana
Reader Groupadministrator
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Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3T29H
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.41 1
URL (untrusted data)www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/339/2012/
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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