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Trabalho de evento
Modeling crown-bulk density from airborne and terrestrial laser scanning data in a longleaf pine forest ecosystem (2023)
Silva, Carlos Alberto; Rocha, Kleydson Diego; Cosenza, Diogo N; Moha, Midhun; Klauberg, Carine; Schlickmann, Monique Bohora; Xia, Jinyi; Leite, Rodrigo V; Almeida, Danilo Roberti Alves de ; Atkins, Jeff W; Cardil, Adrian; Rowell, Eric; Parsons, Russ; Sánchez-López, Nuria; Prichard, Susan J; Hudak, Andrew T
Source: IEEE International Geoscience and Remote Sensing Symposium - IGARSS. Conference titles: IEEE International Geoscience and Remote Sensing Symposium - IGARSS. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, DOSSEL (BOTÂNICA), ECOSSISTEMAS FLORESTAIS, MODELAGEM DE DADOS, PINHEIRO, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
SILVA, Carlos Alberto et al. Modeling crown-bulk density from airborne and terrestrial laser scanning data in a longleaf pine forest ecosystem. 2023, Anais.. Piscataway, NJ: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, 2023. Disponível em: https://doi.org/10.1109/IGARSS52108.2023.10282833. Acesso em: 10 nov. 2024.
APA
Silva, C. A., Rocha, K. D., Cosenza, D. N., Moha, M., Klauberg, C., Schlickmann, M. B., et al. (2023). Modeling crown-bulk density from airborne and terrestrial laser scanning data in a longleaf pine forest ecosystem. In IEEE International Geoscience and Remote Sensing Symposium - IGARSS. Piscataway, NJ: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo. doi:10.1109/IGARSS52108.2023.10282833
NLM
Silva CA, Rocha KD, Cosenza DN, Moha M, Klauberg C, Schlickmann MB, Xia J, Leite RV, Almeida DRA de, Atkins JW, Cardil A, Rowell E, Parsons R, Sánchez-López N, Prichard SJ, Hudak AT. Modeling crown-bulk density from airborne and terrestrial laser scanning data in a longleaf pine forest ecosystem [Internet]. IEEE International Geoscience and Remote Sensing Symposium - IGARSS. 2023 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IGARSS52108.2023.10282833
Vancouver
Silva CA, Rocha KD, Cosenza DN, Moha M, Klauberg C, Schlickmann MB, Xia J, Leite RV, Almeida DRA de, Atkins JW, Cardil A, Rowell E, Parsons R, Sánchez-López N, Prichard SJ, Hudak AT. Modeling crown-bulk density from airborne and terrestrial laser scanning data in a longleaf pine forest ecosystem [Internet]. IEEE International Geoscience and Remote Sensing Symposium - IGARSS. 2023 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IGARSS52108.2023.10282833
Artigo de periodico
Remote sensing of the Earth’s soil color in space and time (2023)
Rizzo, Rodnei ; Wadoux, Alexandre M. J; Demattê, José Alexandre Melo ; Minasny, Budiman ; Barrón, Vidal; Ben-Dor, Eyal ; Francos, Nicolas ; Savin, Igor; Poppiel, Raul Roberto ; Silvero, Nelida Elizabet Quiñonez ; Terra, Fabrício da Silva; Rosin, Nícolas Augusto ; Rosas, Jorge Tadeu Fim ; Greschuk, Lucas Tadeu ; Ballester, Maria Victoria Ramos ; Gómez, Andrés Mauricio Rico ; Belllinaso, Henrique; Safanelli, José Lucas ; Chabrillat, Sabine ; Fiorio, Peterson Roberto ; Das, Bhabani Sankar ; Malone, Brendan P; Zalidis, George; Tziolas, Nikolaos ; Tsakiridis, Nikolaos; Karyotis, Konstantinos; Samarinas, Nikiforos; Kalopesa, Eleni; Gholizadeh, Asa ; Shepherd, Keith D; Milewski, Robert; Vaudour, Emmanuelle; Wang, Changkun; Salama, Elsayed Said Mohamed
Source: Remote Sensing of Environment. Unidades: ESALQ, CENA
Subjects: COR DO SOLO, ESPECTROSCOPIA, IMAGEAMENTO DE SATÉLITE, MONITORAÇÃO DOS SOLOS, SENSORIAMENTO REMOTO
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ABNT
RIZZO, Rodnei et al. Remote sensing of the Earth’s soil color in space and time. Remote Sensing of Environment, v. 299, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.rse.2023.113845. Acesso em: 10 nov. 2024.
APA
Rizzo, R., Wadoux, A. M. J., Demattê, J. A. M., Minasny, B., Barrón, V., Ben-Dor, E., et al. (2023). Remote sensing of the Earth’s soil color in space and time. Remote Sensing of Environment, 299, 1-15. doi:10.1016/j.rse.2023.113845
NLM
Rizzo R, Wadoux AMJ, Demattê JAM, Minasny B, Barrón V, Ben-Dor E, Francos N, Savin I, Poppiel RR, Silvero NEQ, Terra F da S, Rosin NA, Rosas JTF, Greschuk LT, Ballester MVR, Gómez AMR, Belllinaso H, Safanelli JL, Chabrillat S, Fiorio PR, Das BS, Malone BP, Zalidis G, Tziolas N, Tsakiridis N, Karyotis K, Samarinas N, Kalopesa E, Gholizadeh A, Shepherd KD, Milewski R, Vaudour E, Wang C, Salama ESM. Remote sensing of the Earth’s soil color in space and time [Internet]. Remote Sensing of Environment. 2023 ; 299 1-15.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.rse.2023.113845
Vancouver
Rizzo R, Wadoux AMJ, Demattê JAM, Minasny B, Barrón V, Ben-Dor E, Francos N, Savin I, Poppiel RR, Silvero NEQ, Terra F da S, Rosin NA, Rosas JTF, Greschuk LT, Ballester MVR, Gómez AMR, Belllinaso H, Safanelli JL, Chabrillat S, Fiorio PR, Das BS, Malone BP, Zalidis G, Tziolas N, Tsakiridis N, Karyotis K, Samarinas N, Kalopesa E, Gholizadeh A, Shepherd KD, Milewski R, Vaudour E, Wang C, Salama ESM. Remote sensing of the Earth’s soil color in space and time [Internet]. Remote Sensing of Environment. 2023 ; 299 1-15.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.rse.2023.113845
Artigo de periodico
Machine learning in marine ecology: an overview of techniques and applications (2023)
Rubbens, Peter ; Brodie, Stephanie ; Cordier, Tristan ; Barcellos, Diogo Destro ; Devos, Paul ; Fernandes-Salvador, Jose A. ; Fincham, Jennifer I. ; Gomes, Alessandra C. S.; Handegard, Nils Olav ; Howell, Kerry ; Jamet, Cédric ; Kartveit, Kyrre Heldal ; Moustahfid, Hassan ; Parcerisas, Clea ; Politikos, Dimitris ; Sauzède, Raphaëlle ; Sokolova, Maria ; Uusitalo, Laura ; Bulcke, Laure Van den ; Helmond, Aloysius T M van ; Watson, Jordan T. ; Welch, Heather ; Beltran-Perez, Oscar ; Chaffron, Samuel ; Greenberg, David S. ; Kühn, Bernhard; Kiko, Rainer ; Lo, Madiop; Lopes, Rubens Mendes ; Möller, Klas Ove ; Michaels, William ; Pala, Ahmet ; Romagnan, Jean-Baptiste ; Schuchert, Pia ; Seydi, Vahid ; Villasante, Sebastian ; Malde, Ketil ; Irisson, Jean-Olivier
Source: ICES Journal of Marine Science (print). Unidade: IO
Subjects: ACÚSTICA, ECOLOGIA, APRENDIZADO COMPUTACIONAL, SENSORIAMENTO REMOTO
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ABNT
RUBBENS, Peter et al. Machine learning in marine ecology: an overview of techniques and applications. ICES Journal of Marine Science (print), v. 80, n. 7, p. 1829-1853, 2023Tradução . . Disponível em: https://doi.org/10.1093/icesjms/fsad100. Acesso em: 10 nov. 2024.
APA
Rubbens, P., Brodie, S., Cordier, T., Barcellos, D. D., Devos, P., Fernandes-Salvador, J. A., et al. (2023). Machine learning in marine ecology: an overview of techniques and applications. ICES Journal of Marine Science (print), 80( 7), 1829-1853. doi:10.1093/icesjms/fsad100
NLM
Rubbens P, Brodie S, Cordier T, Barcellos DD, Devos P, Fernandes-Salvador JA, Fincham JI, Gomes ACS, Handegard NO, Howell K, Jamet C, Kartveit KH, Moustahfid H, Parcerisas C, Politikos D, Sauzède R, Sokolova M, Uusitalo L, Bulcke LV den, Helmond ATM van, Watson JT, Welch H, Beltran-Perez O, Chaffron S, Greenberg DS, Kühn B, Kiko R, Lo M, Lopes RM, Möller KO, Michaels W, Pala A, Romagnan J-B, Schuchert P, Seydi V, Villasante S, Malde K, Irisson J-O. Machine learning in marine ecology: an overview of techniques and applications [Internet]. ICES Journal of Marine Science (print). 2023 ; 80( 7): 1829-1853.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1093/icesjms/fsad100
Vancouver
Rubbens P, Brodie S, Cordier T, Barcellos DD, Devos P, Fernandes-Salvador JA, Fincham JI, Gomes ACS, Handegard NO, Howell K, Jamet C, Kartveit KH, Moustahfid H, Parcerisas C, Politikos D, Sauzède R, Sokolova M, Uusitalo L, Bulcke LV den, Helmond ATM van, Watson JT, Welch H, Beltran-Perez O, Chaffron S, Greenberg DS, Kühn B, Kiko R, Lo M, Lopes RM, Möller KO, Michaels W, Pala A, Romagnan J-B, Schuchert P, Seydi V, Villasante S, Malde K, Irisson J-O. Machine learning in marine ecology: an overview of techniques and applications [Internet]. ICES Journal of Marine Science (print). 2023 ; 80( 7): 1829-1853.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1093/icesjms/fsad100
Trabalho de evento
Monitoring soil properties using EnMAP spaceborne imaging spectroscopy mission (2023)
Chabrillat, Sabine; Milewski, Robert; Ward, Kathrin; Foerster, Saskia; Guillaso, Stephane; Loy, Christopher; Ben-Dor, Eyal; Tziolas, Nikos; Schmid, Thomas; van Wesemael, Bas; Demattê, Jose Alexandre Melo
Conference titles: IEEE International Geoscience and Remote Sensing Symposium - IGARSS. Unidade: ESALQ
Subjects: ESPECTROSCOPIA, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, MONITORAÇÃO DOS SOLOS, SENSORIAMENTO REMOTO, SOLOS
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ABNT
CHABRILLAT, Sabine et al. Monitoring soil properties using EnMAP spaceborne imaging spectroscopy mission. 2023, Anais.. Pasadena, CA: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, 2023. Disponível em: https://doi.org/10.1109/IGARSS52108.2023.10282165. Acesso em: 10 nov. 2024.
APA
Chabrillat, S., Milewski, R., Ward, K., Foerster, S., Guillaso, S., Loy, C., et al. (2023). Monitoring soil properties using EnMAP spaceborne imaging spectroscopy mission. In . Pasadena, CA: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo. doi:10.1109/IGARSS52108.2023.10282165
NLM
Chabrillat S, Milewski R, Ward K, Foerster S, Guillaso S, Loy C, Ben-Dor E, Tziolas N, Schmid T, van Wesemael B, Demattê JAM. Monitoring soil properties using EnMAP spaceborne imaging spectroscopy mission [Internet]. 2023 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IGARSS52108.2023.10282165
Vancouver
Chabrillat S, Milewski R, Ward K, Foerster S, Guillaso S, Loy C, Ben-Dor E, Tziolas N, Schmid T, van Wesemael B, Demattê JAM. Monitoring soil properties using EnMAP spaceborne imaging spectroscopy mission [Internet]. 2023 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IGARSS52108.2023.10282165
Artigo de periodico
Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem (2023)
Rocha, Kleydson Diego; Silva, Carlos Alberto ; Cosenza, Diogo N ; Mohan, Midhun ; Klauberg, Carine ; Schlickmann, Monique Bohora ; Xia, Jinyi; Leite, Rodrigo V; Almeida, Danilo Roberti Alves de ; Atkins, Jeff W; Cardil, Adrian ; Rowell, Eric; Parsons, Russ ; Sánchez-López, Nuria ; Prichard, Susan J; Hudak, Andrew T
Source: Remote Sensing. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, DOSSEL (BOTÂNICA), ECOSSISTEMAS FLORESTAIS, PINHEIRO, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
ROCHA, Kleydson Diego et al. Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem. Remote Sensing, v. 15, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.3390/rs15041002. Acesso em: 10 nov. 2024.
APA
Rocha, K. D., Silva, C. A., Cosenza, D. N., Mohan, M., Klauberg, C., Schlickmann, M. B., et al. (2023). Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem. Remote Sensing, 15, 1-21. doi:10.3390/rs15041002
NLM
Rocha KD, Silva CA, Cosenza DN, Mohan M, Klauberg C, Schlickmann MB, Xia J, Leite RV, Almeida DRA de, Atkins JW, Cardil A, Rowell E, Parsons R, Sánchez-López N, Prichard SJ, Hudak AT. Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem [Internet]. Remote Sensing. 2023 ; 15 1-21.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs15041002
Vancouver
Rocha KD, Silva CA, Cosenza DN, Mohan M, Klauberg C, Schlickmann MB, Xia J, Leite RV, Almeida DRA de, Atkins JW, Cardil A, Rowell E, Parsons R, Sánchez-López N, Prichard SJ, Hudak AT. Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem [Internet]. Remote Sensing. 2023 ; 15 1-21.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs15041002
Artigo de periodico
Mangrove forests in Ecuador: a two-decade analysis (2022)
Morocho, Ramiro; González, Ivonne; Ferreira, Tiago Osorio ; Otero, Xosé Luis
Source: Forests. Unidade: ESALQ
Subjects: COBERTURA DO SOLO, ECOSSISTEMAS DE MANGUE, FLORESTAS, SENSORIAMENTO REMOTO, SISTEMA DE INFORMAÇÃO GEOGRÁFICA
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ABNT
MOROCHO, Ramiro et al. Mangrove forests in Ecuador: a two-decade analysis. Forests, v. 13, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.3390/f13050656. Acesso em: 10 nov. 2024.
APA
Morocho, R., González, I., Ferreira, T. O., & Otero, X. L. (2022). Mangrove forests in Ecuador: a two-decade analysis. Forests, 13, 1-19. doi:10.3390/f13050656
NLM
Morocho R, González I, Ferreira TO, Otero XL. Mangrove forests in Ecuador: a two-decade analysis [Internet]. Forests. 2022 ; 13 1-19.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/f13050656
Vancouver
Morocho R, González I, Ferreira TO, Otero XL. Mangrove forests in Ecuador: a two-decade analysis [Internet]. Forests. 2022 ; 13 1-19.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/f13050656
Artigo de periodico
Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data (2021)
Costa, Máira Beatriz Teixeira da; Silva, Carlos Alberto; Broadbent, Eben North ; Leite, Rodrigo Vieira; Mohan, Midhun; Liesenberg, Veraldo; Stoddart, Jaz; Amaral, Cibele Hummel do; Almeida, Danilo Roberti Alves de ; Silva, Anne Laura da; Ré Y. Goya, Lucas Ruggeri; Cordeiro, Victor Almeida; Rex, Franciel; Hirsch, Andre; Marcatti, Gustavo Eduardo; Cardil, Adrian; Mendonça, Bruno Araujo Furtado de; Hamamura, Caio; Corte, Ana Paula Dalla; Matricardi, Eraldo Aparecido Trondoli; Hudak, Andrew T; Zambrano, Angelica Maria Almeyda; Valbuena, Ruben; Faria, Bruno Lopes de; Silva Junior, Celso H.L; Aragao, Luiz; Ferreira, Manuel Eduardo; Liang, Jingjing; Carvalho, Samuel de Pádua Chaves e; Klauberg, Carine
Source: Forest Ecology and Management. Unidade: ESALQ
Subjects: ÁRVORES, BIOMASSA, CERRADO, ECOSSISTEMAS SAVÂNICOS, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR, VEGETAÇÃO
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ABNT
COSTA, Máira Beatriz Teixeira da et al. Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data. Forest Ecology and Management, v. 491, p. 1-15, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.foreco.2021.119155. Acesso em: 10 nov. 2024.
APA
Costa, M. B. T. da, Silva, C. A., Broadbent, E. N., Leite, R. V., Mohan, M., Liesenberg, V., et al. (2021). Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data. Forest Ecology and Management, 491, 1-15. doi:10.1016/j.foreco.2021.119155
NLM
Costa MBT da, Silva CA, Broadbent EN, Leite RV, Mohan M, Liesenberg V, Stoddart J, Amaral CH do, Almeida DRA de, Silva AL da, Ré Y. Goya LR, Cordeiro VA, Rex F, Hirsch A, Marcatti GE, Cardil A, Mendonça BAF de, Hamamura C, Corte APD, Matricardi EAT, Hudak AT, Zambrano AMA, Valbuena R, Faria BL de, Silva Junior CHL, Aragao L, Ferreira ME, Liang J, Carvalho S de PC e, Klauberg C. Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data [Internet]. Forest Ecology and Management. 2021 ; 491 1-15.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.foreco.2021.119155
Vancouver
Costa MBT da, Silva CA, Broadbent EN, Leite RV, Mohan M, Liesenberg V, Stoddart J, Amaral CH do, Almeida DRA de, Silva AL da, Ré Y. Goya LR, Cordeiro VA, Rex F, Hirsch A, Marcatti GE, Cardil A, Mendonça BAF de, Hamamura C, Corte APD, Matricardi EAT, Hudak AT, Zambrano AMA, Valbuena R, Faria BL de, Silva Junior CHL, Aragao L, Ferreira ME, Liang J, Carvalho S de PC e, Klauberg C. Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data [Internet]. Forest Ecology and Management. 2021 ; 491 1-15.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.foreco.2021.119155
Artigo de periodico
Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data (2020)
Rex, Franciel Eduardo; Silva, Carlos Alberto; Dalla Corte, Ana Paula; Klauberg, Carine; Mohan, Midhun ; Cardil, Adrian ; Silva, Vanessa Sousa da; Almeida, Danilo Roberti Alves de ; Garcia, Mariano; Broadbent, Eben North ; Valbuena, Ruben; Stoddart, Jaz; Merrick, Trina; Hudak, Andrew Thomas
Source: Remote Sensing. Unidade: ESALQ
Subjects: BIOMASSA, FLORESTAS TROPICAIS, MADEIRA, MODELAGEM DE DADOS, SENSORIAMENTO REMOTO, SEQUESTRO DE CARBONO, TECNOLOGIA LIDAR
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ABNT
REX, Franciel Eduardo et al. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data. Remote Sensing, v. 12, n. 1498, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12091498. Acesso em: 10 nov. 2024.
APA
Rex, F. E., Silva, C. A., Dalla Corte, A. P., Klauberg, C., Mohan, M., Cardil, A., et al. (2020). Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data. Remote Sensing, 12( 1498), 1-20. doi:10.3390/rs12091498
NLM
Rex FE, Silva CA, Dalla Corte AP, Klauberg C, Mohan M, Cardil A, Silva VS da, Almeida DRA de, Garcia M, Broadbent EN, Valbuena R, Stoddart J, Merrick T, Hudak AT. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data [Internet]. Remote Sensing. 2020 ; 12( 1498): 1-20.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs12091498
Vancouver
Rex FE, Silva CA, Dalla Corte AP, Klauberg C, Mohan M, Cardil A, Silva VS da, Almeida DRA de, Garcia M, Broadbent EN, Valbuena R, Stoddart J, Merrick T, Hudak AT. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data [Internet]. Remote Sensing. 2020 ; 12( 1498): 1-20.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs12091498
Artigo de periodico
Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand (2020)
Viedma, Olga; Almeida, Danilo Roberti Alves de ; Moreno, Jose Manuel
Source: Remote Sensing. Unidade: ESALQ
Subjects: AERONAVES NÃO TRIPULADAS, BIOINDICADORES, IMAGEAMENTO DE SATÉLITE, INCÊNDIOS FLORESTAIS, PINHEIRO, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
VIEDMA, Olga e ALMEIDA, Danilo Roberti Alves de e MORENO, Jose Manuel. Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand. Remote Sensing, v. 12, n. 21, p. 1-21, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12213554. Acesso em: 10 nov. 2024.
APA
Viedma, O., Almeida, D. R. A. de, & Moreno, J. M. (2020). Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand. Remote Sensing, 12( 21), 1-21. doi:10.3390/rs12213554
NLM
Viedma O, Almeida DRA de, Moreno JM. Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand [Internet]. Remote Sensing. 2020 ; 12( 21): 1-21.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs12213554
Vancouver
Viedma O, Almeida DRA de, Moreno JM. Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand [Internet]. Remote Sensing. 2020 ; 12( 21): 1-21.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs12213554
Artigo de periodico
Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models (2020)
Leite, R. V; Silva, C. A; Mohan, M; Cardil, A; Almeida, Danilo Roberti Alves de ; Carvalho, S. P. C. de
Source: Remote Sensing. Unidade: ESALQ
Subjects: CARBONO, DENDROMETRIA, EUCALIPTO, INVENTÁRIO FLORESTAL, MODELOS MATEMÁTICOS, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
LEITE, R. V et al. Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models. Remote Sensing, v. 12, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12213599. Acesso em: 10 nov. 2024.
APA
Leite, R. V., Silva, C. A., Mohan, M., Cardil, A., Almeida, D. R. A. de, & Carvalho, S. P. C. de. (2020). Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models. Remote Sensing, 12, 1-20. doi:10.3390/rs12213599
NLM
Leite RV, Silva CA, Mohan M, Cardil A, Almeida DRA de, Carvalho SPC de. Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models [Internet]. Remote Sensing. 2020 ; 12 1-20.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs12213599
Vancouver
Leite RV, Silva CA, Mohan M, Cardil A, Almeida DRA de, Carvalho SPC de. Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models [Internet]. Remote Sensing. 2020 ; 12 1-20.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs12213599
Artigo de periodico
Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery (2020)
Cisneros, Amparo ; Fiorio, Peterson ; Menezes, Patricia; Pasqualotto, Nieves; Van Wittenberghe, Shari; Bayma, Gustavo; Furlan Nogueira, Sandra
Source: Agronomy. Unidade: ESALQ
Subjects: SENSORIAMENTO REMOTO, BIOMASSA, BRACHIARIA, CAPIM COLONIÃO, IMAGEAMENTO DE SATÉLITE, ÍNDICE DE ÁREA FOLIAR, NITROGÊNIO, PASTAGENS
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ABNT
CISNEROS, Amparo et al. Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery. Agronomy, v. 10, p. 1-24, 2020Tradução . . Disponível em: https://doi.org/10.3390/agronomy10050711. Acesso em: 10 nov. 2024.
APA
Cisneros, A., Fiorio, P., Menezes, P., Pasqualotto, N., Van Wittenberghe, S., Bayma, G., & Furlan Nogueira, S. (2020). Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery. Agronomy, 10, 1-24. doi:10.3390/agronomy10050711
NLM
Cisneros A, Fiorio P, Menezes P, Pasqualotto N, Van Wittenberghe S, Bayma G, Furlan Nogueira S. Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery [Internet]. Agronomy. 2020 ; 10 1-24.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/agronomy10050711
Vancouver
Cisneros A, Fiorio P, Menezes P, Pasqualotto N, Van Wittenberghe S, Bayma G, Furlan Nogueira S. Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery [Internet]. Agronomy. 2020 ; 10 1-24.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/agronomy10050711
Artigo de periodico
A new era in forest restoration monitoring (2019)
Almeida, Danilo Roberti Alves de ; Stark, Scott C; Valbuena, Ruben; Broadbent, Eben North ; Silva, Thiago S. F; Resende, Angelica F. de; Ferreira, Matheus P; Cardil, Adrian; Silva, Carlos A; Amazonas, Nino Tavares ; Zambrano, Angelica M. A; Brancalion, Pedro Henrique Santin
Source: Restoration Ecology. Unidade: ESALQ
Subjects: ECOLOGIA DA RESTAURAÇÃO, FLORESTAS, MONITORAMENTO AMBIENTAL, SENSORIAMENTO REMOTO
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ABNT
ALMEIDA, Danilo Roberti Alves de et al. A new era in forest restoration monitoring. Restoration Ecology, p. 1-4, 2019Tradução . . Disponível em: https://doi.org/10.1111/rec.13067. Acesso em: 10 nov. 2024.
APA
Almeida, D. R. A. de, Stark, S. C., Valbuena, R., Broadbent, E. N., Silva, T. S. F., Resende, A. F. de, et al. (2019). A new era in forest restoration monitoring. Restoration Ecology, 1-4. doi:10.1111/rec.13067
NLM
Almeida DRA de, Stark SC, Valbuena R, Broadbent EN, Silva TSF, Resende AF de, Ferreira MP, Cardil A, Silva CA, Amazonas NT, Zambrano AMA, Brancalion PHS. A new era in forest restoration monitoring [Internet]. Restoration Ecology. 2019 ; 1-4.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1111/rec.13067
Vancouver
Almeida DRA de, Stark SC, Valbuena R, Broadbent EN, Silva TSF, Resende AF de, Ferreira MP, Cardil A, Silva CA, Amazonas NT, Zambrano AMA, Brancalion PHS. A new era in forest restoration monitoring [Internet]. Restoration Ecology. 2019 ; 1-4.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1111/rec.13067
Artigo de periodico
Global perspectives on observing ocean boundary current systems (2019)
Todd, Robert E.; Chavez, Francisco P.; Clayton, Sophie; Cravatte, Sophie; Goes, Marlos; Graco, Michelle; Lin, Xiaopei; Sprintall, Janet; Zilberman, Nathalie V.; Archer, Matthew; Arístegui, Javier; Balmaseda, Magdalena; Bane, John M.; Baringer, Molly O'Neil; Barth, John A.; Beal, Lisa M.; Brandt, Peter; Calil, Paulo H. R.; Campos, Edmo José Dias ; Centurioni, Luca R.; Chidichimo, Maria Paz; Cirano, Mauro; Meghan F. Cronin; Curchitser, Enrique N.; Davis, Russ E.; Dengler, Marcus; DeYoung, Brad; Dong, Shenfu; Escribano, Ruben; Fassbender, Andrea J.; Fawcett, Sarah E.; Feng, Ming; Goni, Gustavo J.; Gray, Alison R.; Gutiérrez, Dimitri; Hebert, Dave; Hummels, Rebecca; Ito, Shin-ichi; Krug, Marjorlaine; Lacan, François; Laurindo, Lucas; Lazar, Alban; Lee, Craig M.; Lengaigne, Matthieu; Levine, Naomi M.; Middleton, John; Montes, Ivonne; Mike Muglia13,37; Nagai, Takeyoshi; Palevsky, Hilary I.; Jaime B. Palter40,; Phillips, Helen E.; Piola, Alberto; Plueddemann, Albert J.; Qiu, Bo; Rodrigues, Regina R.; Roughan, Moninya; Rudnick, Daniel L.; Rykaczewski, Ryan R.; Saraceno, Martin; Seim, Harvey; Gupta, Alex Sen; Shannon, Lynne; Sloyan, Bernadette M.; Sutton, Adrienne J.; Thompson, LuAnne; Plas, Anja K. van der; Volkov, Denis; Wilkin, John; Zhang, Dongxiao; Zhang, Linlin
Source: Frontiers in Marine Science. Unidade: IO
Subjects: OCEANOGRAFIA, SENSORIAMENTO REMOTO, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
TODD, Robert E. et al. Global perspectives on observing ocean boundary current systems. Frontiers in Marine Science, v. 6, p. 1-38 artigo 423, 2019Tradução . . Disponível em: https://doi.org/10.3389/fmars.2019.00423. Acesso em: 10 nov. 2024.
APA
Todd, R. E., Chavez, F. P., Clayton, S., Cravatte, S., Goes, M., Graco, M., et al. (2019). Global perspectives on observing ocean boundary current systems. Frontiers in Marine Science, 6, 1-38 artigo 423. doi:10.3389/fmars.2019.00423
NLM
Todd RE, Chavez FP, Clayton S, Cravatte S, Goes M, Graco M, Lin X, Sprintall J, Zilberman NV, Archer M, Arístegui J, Balmaseda M, Bane JM, Baringer MO'N, Barth JA, Beal LM, Brandt P, Calil PHR, Campos EJD, Centurioni LR, Chidichimo MP, Cirano M, Meghan F. Cronin, Curchitser EN, Davis RE, Dengler M, DeYoung B, Dong S, Escribano R, Fassbender AJ, Fawcett SE, Feng M, Goni GJ, Gray AR, Gutiérrez D, Hebert D, Hummels R, Ito S-ichi, Krug M, Lacan F, Laurindo L, Lazar A, Lee CM, Lengaigne M, Levine NM, Middleton J, Montes I, Mike Muglia13 37, Nagai T, Palevsky HI, Jaime B. Palter40, Phillips HE, Piola A, Plueddemann AJ, Qiu B, Rodrigues RR, Roughan M, Rudnick DL, Rykaczewski RR, Saraceno M, Seim H, Gupta AS, Shannon L, Sloyan BM, Sutton AJ, Thompson LA, Plas AK van der, Volkov D, Wilkin J, Zhang D, Zhang L. Global perspectives on observing ocean boundary current systems [Internet]. Frontiers in Marine Science. 2019 ; 6 1-38 artigo 423.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3389/fmars.2019.00423
Vancouver
Todd RE, Chavez FP, Clayton S, Cravatte S, Goes M, Graco M, Lin X, Sprintall J, Zilberman NV, Archer M, Arístegui J, Balmaseda M, Bane JM, Baringer MO'N, Barth JA, Beal LM, Brandt P, Calil PHR, Campos EJD, Centurioni LR, Chidichimo MP, Cirano M, Meghan F. Cronin, Curchitser EN, Davis RE, Dengler M, DeYoung B, Dong S, Escribano R, Fassbender AJ, Fawcett SE, Feng M, Goni GJ, Gray AR, Gutiérrez D, Hebert D, Hummels R, Ito S-ichi, Krug M, Lacan F, Laurindo L, Lazar A, Lee CM, Lengaigne M, Levine NM, Middleton J, Montes I, Mike Muglia13 37, Nagai T, Palevsky HI, Jaime B. Palter40, Phillips HE, Piola A, Plueddemann AJ, Qiu B, Rodrigues RR, Roughan M, Rudnick DL, Rykaczewski RR, Saraceno M, Seim H, Gupta AS, Shannon L, Sloyan BM, Sutton AJ, Thompson LA, Plas AK van der, Volkov D, Wilkin J, Zhang D, Zhang L. Global perspectives on observing ocean boundary current systems [Internet]. Frontiers in Marine Science. 2019 ; 6 1-38 artigo 423.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3389/fmars.2019.00423
Artigo de periodico
ForestGapR: An r Package for forest gap analysis from canopy height models (2019)
Silva, Carlos A; Valbuena, Ruben; Pinage, Ekena R; Mohan, Midhun; Almeida, Danilo Roberti Alves de ; North, Eben; Jaafar, Wan Shafrina Wan Mohd; Papa, Daniel de Almeida; Cardil, Adrian; Klauberg, Carine
Source: Methods in Ecology and Evolution. Unidade: ESALQ
Subjects: DISTRIBUIÇÃO ESPACIAL, DOSSEL (BOTÂNICA), FLORESTAS TROPICAIS, FRAGMENTAÇÃO FLORESTAL, R (SOFTWARE ESTATÍSTICO), SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
SILVA, Carlos A et al. ForestGapR: An r Package for forest gap analysis from canopy height models. Methods in Ecology and Evolution, v. 10, p. 1347–1356, 2019Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.13211. Acesso em: 10 nov. 2024.
APA
Silva, C. A., Valbuena, R., Pinage, E. R., Mohan, M., Almeida, D. R. A. de, North, E., et al. (2019). ForestGapR: An r Package for forest gap analysis from canopy height models. Methods in Ecology and Evolution, 10, 1347–1356. doi:10.1111/2041-210X.13211
NLM
Silva CA, Valbuena R, Pinage ER, Mohan M, Almeida DRA de, North E, Jaafar WSWM, Papa D de A, Cardil A, Klauberg C. ForestGapR: An r Package for forest gap analysis from canopy height models [Internet]. Methods in Ecology and Evolution. 2019 ; 10 1347–1356.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1111/2041-210X.13211
Vancouver
Silva CA, Valbuena R, Pinage ER, Mohan M, Almeida DRA de, North E, Jaafar WSWM, Papa D de A, Cardil A, Klauberg C. ForestGapR: An r Package for forest gap analysis from canopy height models [Internet]. Methods in Ecology and Evolution. 2019 ; 10 1347–1356.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1111/2041-210X.13211
Artigo de periodico
Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations (2018)
Guerra-Hernández, Juan; Cosenza, Diogo N; Rodriguez, Luiz Carlos Estraviz; Silva, Margarida; Tomé, Margarida; Díaz-Varela, Ramón A; González-Ferreiro, Eduardo
Source: International Journal of Remote Sensing. Unidade: ESALQ
Subjects: EUCALIPTO, INVENTÁRIO FLORESTAL, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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ABNT
GUERRA-HERNÁNDEZ, Juan et al. Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations. International Journal of Remote Sensing, v. 39, n. 15-16, p. 5211-5235, 2018Tradução . . Disponível em: https://doi.org/10.1080/01431161.2018.1486519. Acesso em: 10 nov. 2024.
APA
Guerra-Hernández, J., Cosenza, D. N., Rodriguez, L. C. E., Silva, M., Tomé, M., Díaz-Varela, R. A., & González-Ferreiro, E. (2018). Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations. International Journal of Remote Sensing, 39( 15-16), 5211-5235. doi:10.1080/01431161.2018.1486519
NLM
Guerra-Hernández J, Cosenza DN, Rodriguez LCE, Silva M, Tomé M, Díaz-Varela RA, González-Ferreiro E. Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations [Internet]. International Journal of Remote Sensing. 2018 ; 39( 15-16): 5211-5235.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1080/01431161.2018.1486519
Vancouver
Guerra-Hernández J, Cosenza DN, Rodriguez LCE, Silva M, Tomé M, Díaz-Varela RA, González-Ferreiro E. Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations [Internet]. International Journal of Remote Sensing. 2018 ; 39( 15-16): 5211-5235.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1080/01431161.2018.1486519
Artigo de periodico
A method to obtain orange crop geometry information using a mobile terrestrial laser scanner and 3D modeling (2017)
Colaço, André; Trevisan, Rodrigo G; Molin, Jose Paulo; Rosell-Polo, Joan; Escolà, Alexandre
Source: Remote Sensing. Unidade: ESALQ
Subjects: DOSSEL (BOTÂNICA), LARANJA, LASER, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLAÇO, André et al. A method to obtain orange crop geometry information using a mobile terrestrial laser scanner and 3D modeling. Remote Sensing, v. 9, n. 8, p. 763-783, 2017Tradução . . Disponível em: https://doi.org/10.3390/rs9080763. Acesso em: 10 nov. 2024.
APA
Colaço, A., Trevisan, R. G., Molin, J. P., Rosell-Polo, J., & Escolà, A. (2017). A method to obtain orange crop geometry information using a mobile terrestrial laser scanner and 3D modeling. Remote Sensing, 9( 8), 763-783. doi:10.3390/rs9080763
NLM
Colaço A, Trevisan RG, Molin JP, Rosell-Polo J, Escolà A. A method to obtain orange crop geometry information using a mobile terrestrial laser scanner and 3D modeling [Internet]. Remote Sensing. 2017 ; 9( 8): 763-783.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs9080763
Vancouver
Colaço A, Trevisan RG, Molin JP, Rosell-Polo J, Escolà A. A method to obtain orange crop geometry information using a mobile terrestrial laser scanner and 3D modeling [Internet]. Remote Sensing. 2017 ; 9( 8): 763-783.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/rs9080763
Artigo de periodico
Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest (2017)
Guerra-Hernández, Juan; Görgens, Eric Bastos; García-Gutiérrez, Jorge; Rodriguez, Luiz Carlos Estraviz ; Tomé, Margarida; González-Ferreiro, Eduardo
Source: European Journal of Remote Sensing. Unidade: ESALQ
Subjects: BIOMASSA, CARVALHO, FLORESTAS, MODELOS MATEMÁTICOS, PINHEIRO, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUERRA-HERNÁNDEZ, Juan et al. Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest. European Journal of Remote Sensing, n. , p. 185-204-, 2017Tradução . . Disponível em: https://doi.org/10.5721/EuJRS20164911. Acesso em: 10 nov. 2024.
APA
Guerra-Hernández, J., Görgens, E. B., García-Gutiérrez, J., Rodriguez, L. C. E., Tomé, M., & González-Ferreiro, E. (2017). Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest. European Journal of Remote Sensing, ( ), 185-204-. doi:10.5721/EuJRS20164911
NLM
Guerra-Hernández J, Görgens EB, García-Gutiérrez J, Rodriguez LCE, Tomé M, González-Ferreiro E. Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest [Internet]. European Journal of Remote Sensing. 2017 ;( ): 185-204-.[citado 2024 nov. 10 ] Available from: https://doi.org/10.5721/EuJRS20164911
Vancouver
Guerra-Hernández J, Görgens EB, García-Gutiérrez J, Rodriguez LCE, Tomé M, González-Ferreiro E. Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest [Internet]. European Journal of Remote Sensing. 2017 ;( ): 185-204-.[citado 2024 nov. 10 ] Available from: https://doi.org/10.5721/EuJRS20164911

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