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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
08/04/2024 |
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Data da última atualização: |
13/05/2024 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MONTEIRO, J. M. G.; FIDALGO, E. C. C.; TURETTA, A. P. D. |
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Afiliação: |
JOYCE MARIA GUIMARAES MONTEIRO, CNPS; ELAINE CRISTINA CARDOSO FIDALGO, CNPS; ANA PAULA DIAS TURETTA, CNPS. |
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Título: |
Prior indication of agricultural Nature-Based Solutions (NbS) for water and food security in the context of climate change. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON WATER ENERGY FOOD AND SUSTAINABILITY, 3., 2023, Leiria. Proceedings [...]. Cham: Springer, 2024. p. 677-688. ICoWEFS 2023. |
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DOI: |
https://doi.org/10.1007/978-3-031-48532-9_63 |
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Idioma: |
Inglês |
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Conteúdo: |
Impacts of climate change represent a serious challenge for the agricultural sector and expose the need for suitable solutions for its adaptation. Nature Based Solutions (NbS) are a key component to address climate change and challenges related to food and water security and biodiversity loss. The aim of this work is to present and test a methodological framework for prior indication of agricultural NbS for the water-food security nexus in the context of climate change. The study case is Nova Friburgo, a municipality located in the mountainous region of Rio de Janeiro State, highly vulnerable to the impacts of extreme weather events and an important center of food production. The method consists of an integrated environmental assessment that includes the synergies and trade-offs between ecosystem services and a water-food security nexus assessment, as well as the assessment of the implementation of NbS in public policies of the municipality of Nova Friburgo. The survey of NbS in the literature resulted in the selection of twenty-six NbS for agricultural management of water and food security (water-food security nexus). The most suitable NbS considering the integrated environmental assessment and the governance assessment were soil conservation practices, agroforestry/integrated crop-livestock-forestry system and organic agriculture. Agricultural zoning and agritourism received the highest score in terms of governance. The methodology was able to identify the most appropriated NbS for the study case. However, prior indication of NbS needs to be discussed with local decision makers, considering the local environmental, socioeconomic, and political factors. MenosImpacts of climate change represent a serious challenge for the agricultural sector and expose the need for suitable solutions for its adaptation. Nature Based Solutions (NbS) are a key component to address climate change and challenges related to food and water security and biodiversity loss. The aim of this work is to present and test a methodological framework for prior indication of agricultural NbS for the water-food security nexus in the context of climate change. The study case is Nova Friburgo, a municipality located in the mountainous region of Rio de Janeiro State, highly vulnerable to the impacts of extreme weather events and an important center of food production. The method consists of an integrated environmental assessment that includes the synergies and trade-offs between ecosystem services and a water-food security nexus assessment, as well as the assessment of the implementation of NbS in public policies of the municipality of Nova Friburgo. The survey of NbS in the literature resulted in the selection of twenty-six NbS for agricultural management of water and food security (water-food security nexus). The most suitable NbS considering the integrated environmental assessment and the governance assessment were soil conservation practices, agroforestry/integrated crop-livestock-forestry system and organic agriculture. Agricultural zoning and agritourism received the highest score in terms of governance. The methodology was able to identify the most appropriate... Mostrar Tudo |
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Palavras-Chave: |
Avaliação ambiental integrada; Governança; Integrated environmental assessment. |
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Thesagro: |
Agricultura Sustentável. |
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Thesaurus Nal: |
Governance; Sustainable agriculture. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02566nam a2200217 a 4500
001 2163371
005 2024-05-13
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/978-3-031-48532-9_63$2DOI
100 1 $aMONTEIRO, J. M. G.
245 $aPrior indication of agricultural Nature-Based Solutions (NbS) for water and food security in the context of climate change.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON WATER ENERGY FOOD AND SUSTAINABILITY, 3., 2023, Leiria. Proceedings [...]. Cham: Springer, 2024. p. 677-688. ICoWEFS 2023.$c2023
520 $aImpacts of climate change represent a serious challenge for the agricultural sector and expose the need for suitable solutions for its adaptation. Nature Based Solutions (NbS) are a key component to address climate change and challenges related to food and water security and biodiversity loss. The aim of this work is to present and test a methodological framework for prior indication of agricultural NbS for the water-food security nexus in the context of climate change. The study case is Nova Friburgo, a municipality located in the mountainous region of Rio de Janeiro State, highly vulnerable to the impacts of extreme weather events and an important center of food production. The method consists of an integrated environmental assessment that includes the synergies and trade-offs between ecosystem services and a water-food security nexus assessment, as well as the assessment of the implementation of NbS in public policies of the municipality of Nova Friburgo. The survey of NbS in the literature resulted in the selection of twenty-six NbS for agricultural management of water and food security (water-food security nexus). The most suitable NbS considering the integrated environmental assessment and the governance assessment were soil conservation practices, agroforestry/integrated crop-livestock-forestry system and organic agriculture. Agricultural zoning and agritourism received the highest score in terms of governance. The methodology was able to identify the most appropriated NbS for the study case. However, prior indication of NbS needs to be discussed with local decision makers, considering the local environmental, socioeconomic, and political factors.
650 $aGovernance
650 $aSustainable agriculture
650 $aAgricultura Sustentável
653 $aAvaliação ambiental integrada
653 $aGovernança
653 $aIntegrated environmental assessment
700 1 $aFIDALGO, E. C. C.
700 1 $aTURETTA, A. P. D.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
02/01/2019 |
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Data da última atualização: |
17/01/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SANCHES, I. D.; FEITOSA, R. Q.; ACHANCCARAY, P.; MONTIBELLER, B.; LUIZ, A. J. B.; SOARES, M. D.; PRUDENTE, V. H. R.; VIEIRA, D. C.; MAURANO, L. E. P. |
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Afiliação: |
IEDA DEL'ARCO SANCHES, INPE; RAUL QUEIROZ FEITOSA, PUC Rio; PEDRO ACHANCCARAY, PUC Rio; BRUNO MONTIBELLER, INPE; ALFREDO JOSE BARRETO LUIZ, CNPMA; MARINALVA DIAS SOARES, PUC Rio; VICTOR HUGO ROHDEN PRUDENTE, INPE; D C VIEIRA, INPE; LUIS EDUARDO PINHEIRO MAURANO, INPE. |
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Título: |
Lem benchmark database for tropical agricultural remote sensing application. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 42, n. 1, p. 387-392, 2018. Edition of the proceedings ISPRS TC I Mid-term Symposium ?Innovative Sensing ? From Sensors to Methods and Applications?, 10-12 October 2018, held a Karlsruhe, Germany. |
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Páginas: |
387-392. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The monitoring of agricultural activities at a regular basis is crucial to assure that the food production meets the world population demands, which is increasing yearly. Such information can be derived from remote sensing data. In spite of topic?s relevance, not enough efforts have been invested to exploit modern pattern recognition and machine learning methods for agricultural land-cover mapping from multi-temporal, multi-sensor earth observation data. Furthermore, only a small proportion of the works published on this topic relates to tropical/subtropical regions, where crop dynamics is more complicated and difficult to model than in temperate regions. A major hindrance has been the lack of accurate public databases for the comparison of different classification methods. In this context, the aim of the present paper is to share a multi-temporal and multi-sensor benchmark database that can be used by the remote sensing community for agricultural land-cover mapping. Information about crops in situ was collected in Luís Eduardo Magalhães (LEM) municipality, which is an important Brazilian agricultural area, to create field reference data including information about first and second crop harvests. Moreover, a series of remote sensing images was acquired and pre-processed, from both active and passive orbital sensors (Sentinel-1, Sentinel-2/MSI, Landsat-8/OLI), correspondent to the LEM area, along the development of the main annual crops. In this paper, we describe the LEM database (crop field boundaries, land use reference data and pre-processed images) and present the results of an experiment conducted using the Sentinel-1 and Sentinel-2 data. MenosAbstract: The monitoring of agricultural activities at a regular basis is crucial to assure that the food production meets the world population demands, which is increasing yearly. Such information can be derived from remote sensing data. In spite of topic?s relevance, not enough efforts have been invested to exploit modern pattern recognition and machine learning methods for agricultural land-cover mapping from multi-temporal, multi-sensor earth observation data. Furthermore, only a small proportion of the works published on this topic relates to tropical/subtropical regions, where crop dynamics is more complicated and difficult to model than in temperate regions. A major hindrance has been the lack of accurate public databases for the comparison of different classification methods. In this context, the aim of the present paper is to share a multi-temporal and multi-sensor benchmark database that can be used by the remote sensing community for agricultural land-cover mapping. Information about crops in situ was collected in Luís Eduardo Magalhães (LEM) municipality, which is an important Brazilian agricultural area, to create field reference data including information about first and second crop harvests. Moreover, a series of remote sensing images was acquired and pre-processed, from both active and passive orbital sensors (Sentinel-1, Sentinel-2/MSI, Landsat-8/OLI), correspondent to the LEM area, along the development of the main annual crops. In this paper, we describe t... Mostrar Tudo |
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Palavras-Chave: |
Agricultura tropical; Agricultural mapping/monitoring; C-band SAR data; Double gropping systems; Free available database; Mapeamento; Multispectral instrument. |
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Thesagro: |
Agricultura; Base de dados; Sensoriamento remoto. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189604/1/2018AA07.pdf
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Marc: |
LEADER 02926nam a2200337 a 4500
001 2102815
005 2023-01-17
008 2018 bl uuuu u00u1 u #d
100 1 $aSANCHES, I. D.
245 $aLem benchmark database for tropical agricultural remote sensing application.$h[electronic resource]
260 $aInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 42, n. 1, p. 387-392, 2018. Edition of the proceedings ISPRS TC I Mid-term Symposium ?Innovative Sensing ? From Sensors to Methods and Applications?, 10-12 October 2018, held a Karlsruhe, Germany.$c2018
300 $a387-392.
520 $aAbstract: The monitoring of agricultural activities at a regular basis is crucial to assure that the food production meets the world population demands, which is increasing yearly. Such information can be derived from remote sensing data. In spite of topic?s relevance, not enough efforts have been invested to exploit modern pattern recognition and machine learning methods for agricultural land-cover mapping from multi-temporal, multi-sensor earth observation data. Furthermore, only a small proportion of the works published on this topic relates to tropical/subtropical regions, where crop dynamics is more complicated and difficult to model than in temperate regions. A major hindrance has been the lack of accurate public databases for the comparison of different classification methods. In this context, the aim of the present paper is to share a multi-temporal and multi-sensor benchmark database that can be used by the remote sensing community for agricultural land-cover mapping. Information about crops in situ was collected in Luís Eduardo Magalhães (LEM) municipality, which is an important Brazilian agricultural area, to create field reference data including information about first and second crop harvests. Moreover, a series of remote sensing images was acquired and pre-processed, from both active and passive orbital sensors (Sentinel-1, Sentinel-2/MSI, Landsat-8/OLI), correspondent to the LEM area, along the development of the main annual crops. In this paper, we describe the LEM database (crop field boundaries, land use reference data and pre-processed images) and present the results of an experiment conducted using the Sentinel-1 and Sentinel-2 data.
650 $aAgricultura
650 $aBase de dados
650 $aSensoriamento remoto
653 $aAgricultura tropical
653 $aAgricultural mapping/monitoring
653 $aC-band SAR data
653 $aDouble gropping systems
653 $aFree available database
653 $aMapeamento
653 $aMultispectral instrument
700 1 $aFEITOSA, R. Q.
700 1 $aACHANCCARAY, P.
700 1 $aMONTIBELLER, B.
700 1 $aLUIZ, A. J. B.
700 1 $aSOARES, M. D.
700 1 $aPRUDENTE, V. H. R.
700 1 $aVIEIRA, D. C.
700 1 $aMAURANO, L. E. P.
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