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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3LKE7JH
Repositóriosid.inpe.br/mtc-m21b/2016/05.02.17.40
Última Atualização2016:05.02.17.42.56 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/05.02.17.40.58
Última Atualização dos Metadados2018:06.04.02.40.45 (UTC) administrator
DOI10.3390/rs8030219
ISSN2072-4292
Chave de CitaçãoEberhardtSRSFAMITFL:2016:ClCoAs
TítuloCloud cover assessment for operational crop monitoring systems in tropical areas
Ano2016
Data de Acesso10 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3570 KiB
2. Contextualização
Autor 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
Identificador de Curriculo 1
 2
 3
 4
 5 8JMKD3MGP5W/3C9JGJQ
Grupo 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
Afiliação 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
Endereço de e-Mail do Autor 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
RevistaRemote Sensing
Volume8
Número3
Páginas219
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (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. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAgriculture monitoring
Clear sky coverage
Crop classification
MODIS
ResumoThe 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.
ÁreaSRE
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4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3LKE7JH
URL dos dados zipadoshttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3LKE7JH
Idiomaen
Arquivo Alvoeberhardt_cloud.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Vinculação8JMKD3MGP3W34P/3L9BUQ5
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.18.22.34 2
sid.inpe.br/bibdigital/2013/09.13.21.11 2
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype url
7. Controle da descrição
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