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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3LKE7JH
Repositorysid.inpe.br/mtc-m21b/2016/05.02.17.40
Last Update2016:05.02.17.42.56 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2016/05.02.17.40.58
Metadata Last Update2018:06.04.02.40.45 (UTC) administrator
DOI10.3390/rs8030219
ISSN2072-4292
Citation KeyEberhardtSRSFAMITFL:2016:ClCoAs
TitleCloud cover assessment for operational crop monitoring systems in tropical areas
Year2016
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size3570 KiB
2. Context
Author 1 Eberhardt, Isaque Daniel Rocha
 2 Schultz, Bruno
 3 Rizzi, Rodrigo
 4 Sanches, Ieda Del'Arco
 5 Formaggio, Antonio Roberto
 6 Atzberger, Clement
 7 Mello, Marcio Pupin
 8 Immitzer, Markus
 9 Trabaquini, Kleber
10 Foschiera, William
11 Luiz, Alfredo José Barreto
Resume Identifier 1
 2
 3
 4
 5 8JMKD3MGP5W/3C9JGJQ
Group 1
 2 SER-SRE-SPG-INPE-MCTI-GOV-BR
 3
 4 DSR-OBT-INPE-MCTI-GOV-BR
 5 DSR-OBT-INPE-MCTI-GOV-BR
 6
 7
 8
 9
10 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation 1 Universidade de Brasília (UNB)
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Universidade Federal de Pelotas (UFPel)
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 University of Natural Resources and Life Sciences
 7 The Boeing Company
 8 University of Natural Resources and Life Sciences
 9 Agricultural Research and Rural Extension Company of Santa Catarina (Epagri)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
11 Embrapa Meio Ambiente
Author e-Mail Address 1 isaquedanielre@hotmail.com
 2 schultz@dsr.inpe.br
 3 rodrigo.rizzi@ufpel.edu.br
 4 ieda@dsr.inpe.br
 5 formag@dsr.inpe.br
 6 clement.atzberger@boku.ac.at
 7 marcio.p.mello@boeing.com
 8 markus.immitzer@boku.ac.at
 9 klebertrabaquini@epagri.sc.gov.br
10 wfoschiera@dsr.inpe.br
11 alfredo.luiz@embrapa.br
JournalRemote Sensing
Volume8
Number3
Pages219
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2016-05-02 17:40:58 :: simone -> administrator ::
2016-07-04 12:30:00 :: administrator -> simone :: 2016
2016-07-08 17:13:07 :: simone -> administrator :: 2016
2018-06-04 02:40:45 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAgriculture monitoring
Clear sky coverage
Crop classification
MODIS
AbstractThe potential of optical remote sensing data to identify, map and monitor croplands is well recognized. However, clouds strongly limit the usefulness of optical imagery for these applications. This paper aims at assessing cloud cover conditions over four states in the tropical and sub-tropical Center-South region of Brazil to guide the development of an appropriate agricultural monitoring system based on Landsat-like imagery. Cloudiness was assessed during overlapping four months periods to match the typical length of crop cycles in the study area. The percentage of clear sky occurrence was computed from the 1 km resolution MODIS Cloud Mask product (MOD35) considering 14 years of data between July 2000 and June 2014. Results showed high seasonality of cloud occurrence within the crop year with strong variations across the study area. The maximum seasonality was observed for the two states in the northern part of the study area (i.e., the ones closer to the Equator line), which also presented the lowest averaged values (15%) of clear sky occurrence during the main (summer) cropping period (November to February). In these locations, optical data faces severe constraints for mapping summer crops. On the other hand, relatively favorable conditions were found in the southern part of the study region. In the South, clear sky values of around 45% were found and no significant clear sky seasonality was observed. Results underpin the challenges to implement an operational crop monitoring system based solely on optical remote sensing imagery in tropical and sub-tropical regions, in particular if short-cycle crops have to be monitored during the cloudy summer months. To cope with cloudiness issues, we recommend the use of new systems with higher repetition rates such as Sentinel-2. For local studies, Unmanned Aircraft Vehicles (UAVs) might be used to augment the observing capability. Multi-sensor approaches combining optical and microwave data can be another option. In cases where wall-to-wall maps are not mandatory, statistical sampling approaches might also be a suitable alternative for obtaining useful crop area information.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Cloud cover assessment...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Cloud cover assessment...
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4. Conditions of access and use
data URLhttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3LKE7JH
zipped data URLhttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3LKE7JH
Languageen
Target Fileeberhardt_cloud.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Linking8JMKD3MGP3W34P/3L9BUQ5
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 2
sid.inpe.br/bibdigital/2013/09.13.21.11 2
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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