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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
28/03/2007 |
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Data da última atualização: |
15/06/2015 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; CIESLA, W. M.; JOHNSON, E.; RHEA, R.; PENTEADO JUNIOR, J.; LUZ, N. B. da. |
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Título: |
Aerial sketchmapping for monitoring forest conditions in Southern Brazil. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
In: MONITORING SCIENCE AND TECHNOLOGY SYMPOSIUM, Denver, 2004. Proceedings... Fort Collins: USDA, Forest Service, Rocky Mountain Research Station, 2005. |
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Descrição Física: |
1 CD-ROM. |
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Série: |
(Proceedings RMRS-P37CD). |
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Idioma: |
Inglês |
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Conteúdo: |
Aerial sketchmapping is a simple, low cost remote sensing method used for detection and mapping of forest damage caused by biotic agents (insects, pathogens and other pests) and abiotic agents (wind, fire, storms, hurricane, ice storms) in North America. This method was introduced to Brazil in 2001/2002 via a USDA Forest Service/EMBRAPA technical exchange program, which included demonstration flights, a feasibility study, workshops, production of satellite maps, observer training and operational flights, primarily for assessment of damage caused by European wood wasp (Sirex noctilio), monkeys (Cebus nigritus), armillaria root disease (Armillaria spp.), and other damaging agents in pine plantations in Southern Brazil. New applications have been investigated in the most recent campaigns, carried out in 2003 and 2004. These include the use of this technique to monitor land use changes, evaluate the accuracy of classifications from satellite imagery, and to classify successional phases in remnants of Araucaria angustifolia forests in Southern Brazil. The operational flights have demonstrated that clearcuts, land use change detection and other anthropogenic activities may be suitably mapped and monitored from the air. Future activities are aimed at consolidation of this technique in Brazil, the identification of other damage signatures, such as those caused by the eucalyptus red gum lerp psyllid (Glycaspis brimblecombei), and the use of digital aerial sketchmapping methods. |
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Palavras-Chave: |
Armillaria spp; Brasil; Cebus nigritus; Danos; Mapeamento aéreo; Monitoramento ambiental; Região Sul. |
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Thesagro: |
Floresta; Sensoriamento Remoto; Sirex Noctilio. |
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Thesaurus Nal: |
Glycaspis brimblecombei. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/125385/1/Yeda-M-M-Oliveira-Aerial-Sketch.pdf
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Marc: |
LEADER 02542nam a2200337 a 4500
001 1312069
005 2015-06-15
008 2005 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, Y. M. M. de
245 $aAerial sketchmapping for monitoring forest conditions in Southern Brazil.$h[electronic resource]
260 $aIn: MONITORING SCIENCE AND TECHNOLOGY SYMPOSIUM, Denver, 2004. Proceedings... Fort Collins: USDA, Forest Service, Rocky Mountain Research Station$c2005
300 $c1 CD-ROM.
490 $a(Proceedings RMRS-P37CD).
520 $aAerial sketchmapping is a simple, low cost remote sensing method used for detection and mapping of forest damage caused by biotic agents (insects, pathogens and other pests) and abiotic agents (wind, fire, storms, hurricane, ice storms) in North America. This method was introduced to Brazil in 2001/2002 via a USDA Forest Service/EMBRAPA technical exchange program, which included demonstration flights, a feasibility study, workshops, production of satellite maps, observer training and operational flights, primarily for assessment of damage caused by European wood wasp (Sirex noctilio), monkeys (Cebus nigritus), armillaria root disease (Armillaria spp.), and other damaging agents in pine plantations in Southern Brazil. New applications have been investigated in the most recent campaigns, carried out in 2003 and 2004. These include the use of this technique to monitor land use changes, evaluate the accuracy of classifications from satellite imagery, and to classify successional phases in remnants of Araucaria angustifolia forests in Southern Brazil. The operational flights have demonstrated that clearcuts, land use change detection and other anthropogenic activities may be suitably mapped and monitored from the air. Future activities are aimed at consolidation of this technique in Brazil, the identification of other damage signatures, such as those caused by the eucalyptus red gum lerp psyllid (Glycaspis brimblecombei), and the use of digital aerial sketchmapping methods.
650 $aGlycaspis brimblecombei
650 $aFloresta
650 $aSensoriamento Remoto
650 $aSirex Noctilio
653 $aArmillaria spp
653 $aBrasil
653 $aCebus nigritus
653 $aDanos
653 $aMapeamento aéreo
653 $aMonitoramento ambiental
653 $aRegião Sul
700 1 $aROSOT, M. A. D.
700 1 $aCIESLA, W. M.
700 1 $aJOHNSON, E.
700 1 $aRHEA, R.
700 1 $aPENTEADO JUNIOR, J.
700 1 $aLUZ, N. B. da
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Registro original: |
Embrapa Florestas (CNPF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
05/07/2023 |
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Data da última atualização: |
23/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BEZERRA, U. A.; CUNHA, J.; VALENTE, F.; NÓBREGA, R. L. B.; ANDRADEM J. M.; MOURA, M. S. B. de; VERHOEF, A.; PEREZ-MARIN, A. M.; GALVÃO, C. O. |
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Afiliação: |
ULISSES A. BEZERRA, UFCG; JOHN CUNHA, UFCG; FERNANDA VALENTE, Forest Research Centre, University of Lisboa, Lisboa, Portugal; RODOLFO L. B. NÓBREGA, University of Bristol, School of Geographical Sciences, United Kingdom; JOÃO M. ANDRADE, UFPE; MAGNA SOELMA BESERRA DE MOURA, CPATSA; ANNE VERHOEF, The University of Reading, Department of Geography and Environmental Science, United Kingdom; ALDRIN M. PEREZ-MARIN, INSA; CARLOS O. GALVÃO, UFCG. |
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Título: |
STEEP: a remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, v. 333, 109408, 2023. |
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ISSN: |
0168-1923 |
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DOI: |
https://doi.org/10.1016/j.agrformet.2023.109408 |
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Idioma: |
Inglês |
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Conteúdo: |
Improvement of evapotranspiration (ET) estimates using remote sensing (RS) products based on multispectral and thermal sensors has been a breakthrough in hydrological research. In large-scale applications, methods that use the approach of RS-based surface energy balance (SEB) models often rely on oversimplifications. The use of these models for Seasonally Dry Tropical Forests (SDTF) has been challenging due to incompatibilities between the assumptions underlying those models and the specificities of this environment, such as the highly contrasting phenological phases or ET being mainly controlled by soil–water availability. We developed a RS-based SEB model from a one-source bulk transfer equation, called Seasonal Tropical Ecosystem Energy Partitioning (STEEP). Our model uses the plant area index to represent the woody structure of the plants in calculating the moment roughness length. We included the parameter kB−1 and its correction using RS soil moisture in the calculation of the aerodynamic resistance for heat transfer. Besides, λET caused by remaining water availability in endmembers pixels was quantified using the Priestley-Taylor equation. We implemented the algorithm on Google Earth Engine, using freely available data. To evaluate our model, we used eddy covariance data from four sites in the Caatinga, the largest SDTF in South America, in the Brazilian semiarid region. Our results show that STEEP increased the accuracy of ET estimates without requiring any additional climatological information. This improvement is more pronounced during the dry season, which, in general, ET for these SDTF is overestimated by traditional SEB models, such as the Surface Energy Balance Algorithms for Land (SEBAL). The STEEP model had similar or superior behavior and performance statistics relative to global ET products (MOD16 and PMLv2). This work contributes to an improved understanding of the drivers and modulators of the energy and water balances at local and regional scales in SDTF. MenosImprovement of evapotranspiration (ET) estimates using remote sensing (RS) products based on multispectral and thermal sensors has been a breakthrough in hydrological research. In large-scale applications, methods that use the approach of RS-based surface energy balance (SEB) models often rely on oversimplifications. The use of these models for Seasonally Dry Tropical Forests (SDTF) has been challenging due to incompatibilities between the assumptions underlying those models and the specificities of this environment, such as the highly contrasting phenological phases or ET being mainly controlled by soil–water availability. We developed a RS-based SEB model from a one-source bulk transfer equation, called Seasonal Tropical Ecosystem Energy Partitioning (STEEP). Our model uses the plant area index to represent the woody structure of the plants in calculating the moment roughness length. We included the parameter kB−1 and its correction using RS soil moisture in the calculation of the aerodynamic resistance for heat transfer. Besides, λET caused by remaining water availability in endmembers pixels was quantified using the Priestley-Taylor equation. We implemented the algorithm on Google Earth Engine, using freely available data. To evaluate our model, we used eddy covariance data from four sites in the Caatinga, the largest SDTF in South America, in the Brazilian semiarid region. Our results show that STEEP increased the accuracy of ET estimates without requiring any additiona... Mostrar Tudo |
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Palavras-Chave: |
Balanço de energia de superfície; Google Earth Engine; Resistência aerodinâmica para transferência de calor. |
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Thesagro: |
Balanço de Energia; Caatinga; Evapotranspiração; Floresta Tropical; Sensoriamento Remoto. |
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Thesaurus NAL: |
Energy balance; Evapotranspiration; Remote sensing; Tropical forests. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03237naa a2200385 a 4500
001 2154801
005 2024-01-23
008 2023 bl uuuu u00u1 u #d
022 $a0168-1923
024 7 $ahttps://doi.org/10.1016/j.agrformet.2023.109408$2DOI
100 1 $aBEZERRA, U. A.
245 $aSTEEP$ba remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests.$h[electronic resource]
260 $c2023
520 $aImprovement of evapotranspiration (ET) estimates using remote sensing (RS) products based on multispectral and thermal sensors has been a breakthrough in hydrological research. In large-scale applications, methods that use the approach of RS-based surface energy balance (SEB) models often rely on oversimplifications. The use of these models for Seasonally Dry Tropical Forests (SDTF) has been challenging due to incompatibilities between the assumptions underlying those models and the specificities of this environment, such as the highly contrasting phenological phases or ET being mainly controlled by soil–water availability. We developed a RS-based SEB model from a one-source bulk transfer equation, called Seasonal Tropical Ecosystem Energy Partitioning (STEEP). Our model uses the plant area index to represent the woody structure of the plants in calculating the moment roughness length. We included the parameter kB−1 and its correction using RS soil moisture in the calculation of the aerodynamic resistance for heat transfer. Besides, λET caused by remaining water availability in endmembers pixels was quantified using the Priestley-Taylor equation. We implemented the algorithm on Google Earth Engine, using freely available data. To evaluate our model, we used eddy covariance data from four sites in the Caatinga, the largest SDTF in South America, in the Brazilian semiarid region. Our results show that STEEP increased the accuracy of ET estimates without requiring any additional climatological information. This improvement is more pronounced during the dry season, which, in general, ET for these SDTF is overestimated by traditional SEB models, such as the Surface Energy Balance Algorithms for Land (SEBAL). The STEEP model had similar or superior behavior and performance statistics relative to global ET products (MOD16 and PMLv2). This work contributes to an improved understanding of the drivers and modulators of the energy and water balances at local and regional scales in SDTF.
650 $aEnergy balance
650 $aEvapotranspiration
650 $aRemote sensing
650 $aTropical forests
650 $aBalanço de Energia
650 $aCaatinga
650 $aEvapotranspiração
650 $aFloresta Tropical
650 $aSensoriamento Remoto
653 $aBalanço de energia de superfície
653 $aGoogle Earth Engine
653 $aResistência aerodinâmica para transferência de calor
700 1 $aCUNHA, J.
700 1 $aVALENTE, F.
700 1 $aNÓBREGA, R. L. B.
700 1 $aANDRADEM J. M.
700 1 $aMOURA, M. S. B. de
700 1 $aVERHOEF, A.
700 1 $aPEREZ-MARIN, A. M.
700 1 $aGALVÃO, C. O.
773 $tAgricultural and Forest Meteorology$gv. 333, 109408, 2023.
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