|
|
Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
10/01/2017 |
Data da última atualização: |
02/03/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
EBERHARDT, I. D. R.; SCHULTZ, B.; RIZZI, R.; SANCHES, I. D.; FORMAGGIO, A. R.; ATZBERGER, C.; MELLO, M. P.; IMMITZER, M.; TRABAQUINI, K.; LUIZ, A. J. B.; FOSCHIERA, W. |
Afiliação: |
ISAQUE DANIEL ROCHA EBERHARDT, UnB; BRUNO SCHULTZ, INPE; RODRIGO RIZZI, UFPel; IEDA DELÁRCO SANCHES, INPE; ANTONIO ROBERTO FORMAGGIO, INPE; CLEMENT ATZBERGER, University of Natural Resources and Life Sciences, Vienna; MARCIO PUPIN MELLO, The Boing Company; MARKUS IMMITZER, University of Natural Resources and Life Sciences, Vienna; KLEBER TRABAQUINI, Epagri; ALFREDO JOSE BARRETO LUIZ, CNPMA; WILLIAM FOSCHIERA, INPE. |
Título: |
Cloud cover assessment for operational crop monitoring systems in tropical areas. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Remote Sensing, v. 8, n. 3, p. 1-14, 2016. |
Idioma: |
Inglês |
Conteúdo: |
Abstract: The 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 signi?cant 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. MenosAbstract: The 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 signi?cant clear sky seasonality was observed. Results underpin the challenges to implement an operational cr... Mostrar Tudo |
Palavras-Chave: |
Agriculture monitoring; Clear sky coverage; Cloudiness; Crop classification; Imagem de satélite; MODIS; Monitoramento agrícola. |
Thesagro: |
Agricultura; Nuvem; Sensoriamento remoto. |
Thesaurus Nal: |
Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/153098/1/2016AP07.pdf
|
Marc: |
LEADER 03189naa a2200373 a 4500 001 2060359 005 2017-03-02 008 2016 bl uuuu u00u1 u #d 100 1 $aEBERHARDT, I. D. R. 245 $aCloud cover assessment for operational crop monitoring systems in tropical areas.$h[electronic resource] 260 $c2016 520 $aAbstract: The 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 signi?cant 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. 650 $aRemote sensing 650 $aAgricultura 650 $aNuvem 650 $aSensoriamento remoto 653 $aAgriculture monitoring 653 $aClear sky coverage 653 $aCloudiness 653 $aCrop classification 653 $aImagem de satélite 653 $aMODIS 653 $aMonitoramento agrícola 700 1 $aSCHULTZ, B. 700 1 $aRIZZI, R. 700 1 $aSANCHES, I. D. 700 1 $aFORMAGGIO, A. R. 700 1 $aATZBERGER, C. 700 1 $aMELLO, M. P. 700 1 $aIMMITZER, M. 700 1 $aTRABAQUINI, K. 700 1 $aLUIZ, A. J. B. 700 1 $aFOSCHIERA, W. 773 $tRemote Sensing$gv. 8, n. 3, p. 1-14, 2016.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Meio Ambiente (CNPMA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Meio-Norte; Embrapa Pesca e Aquicultura. |
Data corrente: |
10/02/2020 |
Data da última atualização: |
14/02/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
BORTOLON, E. S. O.; BORTOLON, L.; LEITE, L. F. C.; LUCHIARI JUNIOR, A. |
Afiliação: |
ELISANDRA SOLANGE OLIVEIRA BORTOLON, CNPASA; LEANDRO BORTOLON, CNPASA; LUIZ FERNANDO CARVALHO LEITE, CPAMN; ARIOVALDO LUCHIARI JUNIOR, CNPTIA. |
Título: |
Novas abordagens, tendências e oportunidades no uso de modelos de simulação para a avaliação de sistemas agrícolas em regiões tropicais. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Revista de Ciências Agrárias, v. 42, n. 4, p. 874-883, 2019. |
ISSN: |
0871-018X |
DOI: |
10.19084/rca.15756 |
Idioma: |
Português |
Conteúdo: |
A modelagem de agroecossistemas pode contribuir na definição de programas de pesquisa em regiões tropicais e subtropicais, antecipando o processo de obtenção de resultados de pesquisa e auxiliar na tomada de decisão, potencializando o desenvolvimento regional e reduzindo os impactos negativos das atividades agropecuárias nas mudanças climáticas globais. Assim, este trabalho tem como propósito o de apresentar uma revisão bibliográfica sobre esse tema analisando as principais tendências e oportunidades de pesquisa em regiões tropicais relacionadas com o uso de modelos de simulação como ferramentas para a avaliação de sistemas de produção agropecuária. |
Palavras-Chave: |
Agroecossistema; Modelos de agroecossistemas; Sistema de produção agropecuária; Subtrópicos; Trópicos. |
Thesagro: |
Ecossistema; Modelo de Simulação; Sistema de Cultivo. |
Thesaurus NAL: |
Agroecosystems; Integrated agricultural systems; Subtropics; Tropics. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/210533/1/CNPASA-2019-rca.pdf
|
Marc: |
LEADER 01712naa a2200325 a 4500 001 2120079 005 2020-02-14 008 2019 bl uuuu u00u1 u #d 022 $a0871-018X 024 7 $a10.19084/rca.15756$2DOI 100 1 $aBORTOLON, E. S. O. 245 $aNovas abordagens, tendências e oportunidades no uso de modelos de simulação para a avaliação de sistemas agrícolas em regiões tropicais.$h[electronic resource] 260 $c2019 520 $aA modelagem de agroecossistemas pode contribuir na definição de programas de pesquisa em regiões tropicais e subtropicais, antecipando o processo de obtenção de resultados de pesquisa e auxiliar na tomada de decisão, potencializando o desenvolvimento regional e reduzindo os impactos negativos das atividades agropecuárias nas mudanças climáticas globais. Assim, este trabalho tem como propósito o de apresentar uma revisão bibliográfica sobre esse tema analisando as principais tendências e oportunidades de pesquisa em regiões tropicais relacionadas com o uso de modelos de simulação como ferramentas para a avaliação de sistemas de produção agropecuária. 650 $aAgroecosystems 650 $aIntegrated agricultural systems 650 $aSubtropics 650 $aTropics 650 $aEcossistema 650 $aModelo de Simulação 650 $aSistema de Cultivo 653 $aAgroecossistema 653 $aModelos de agroecossistemas 653 $aSistema de produção agropecuária 653 $aSubtrópicos 653 $aTrópicos 700 1 $aBORTOLON, L. 700 1 $aLEITE, L. F. C. 700 1 $aLUCHIARI JUNIOR, A. 773 $tRevista de Ciências Agrárias$gv. 42, n. 4, p. 874-883, 2019.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Pesca e Aquicultura (CNPASA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|