Maciel ZORTEA

Pós-doutorado

Formação complementar

Idiomas

Áreas de atuação

Participação em eventos

Participação em bancas

Produções bibliográficas

• HOFFIMANN, JÚLIO ; Zortea, Maciel ; DE CARVALHO, BRENO ; ZADROZNY, BIANCA . Geostatistical Learning: Challenges and Opportunities. Frontiers in Applied Mathematics and Statistics , v. 7, p. 1, 2021.

• ROSA, LAURA ELENA CUE LA ; OLIVEIRA, DARIO A. B. ; Zortea, Maciel ; GEMIGNANI, BRUNO HOLTZ ; FEITOSA, RAUL QUEIROZ . Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images. IEEE Geoscience and Remote Sensing Letters , v. 19, p. 1-5, 2020.

• FLORES, ELIEZER ; Zortea, Maciel ; SCHARCANSKI, JACOB . Dictionaries of deep features for land-use scene classification of very high spatial resolution images. PATTERN RECOGNITION , v. 89, p. 32-44, 2019.

• WAGNER, FABIEN HUBERT ; FERREIRA, MATHEUS PINHEIRO ; SANCHEZ, ALBER ; HIRYE, MAYUMI C.M. ; Zortea, Maciel ; GLOOR, EMANUEL ; PHILLIPS, OLIVER L. ; DE SOUZA FILHO, CARLOS ROBERTO ; SHIMABUKURO, YOSIO EDEMIR ; ARAGÃO, LUIZ E.O.C. . Individual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING , v. 145, p. 362-377, 2018.

• ZANOTTA, DANIEL CAPELLA ; Zortea, Maciel ; FERREIRA, MATHEUS PINHEIRO . A supervised approach for simultaneous segmentation and classification of remote sensing images. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING , v. 142, p. 162-173, 2018.

• Zortea, Maciel ; FLORES, ELIEZER ; SCHARCANSKI, JACOB . A simple weighted thresholding method for the segmentation of pigmented skin lesions in macroscopic images. Pattern Recognition , v. 64, p. 92-104, 2017.

• ANDREOLLI, Ivanilto ; Zortea, Maciel ; BALIO, JORGE LUIS . Modeling offshore steady flow field data using drift-flux and black-oil models. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING , v. 157, p. 14-26, 2017.

• SALGADO, CESAR ; Zortea, Maciel ; SCHARCANSKI, JACOB . Classify-normalize-classify. Earth Science Informatics , v. 1, p. 1-21, 2017.

• MLLERSEN, KAJSA ; Zortea, Maciel ; Schopf, Thomas R. ; KIRCHESCH, HERBERT ; Godtliebsen, Fred . Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images. PLoS One , v. 12, p. e0190112, 2017.

• FERREIRA, MATHEUS PINHEIRO ; Zortea, Maciel ; ZANOTTA, DANIEL CAPELLA ; SHIMABUKURO, YOSIO EDEMIR ; DE SOUZA FILHO, CARLOS ROBERTO . Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data. Remote Sensing of Environment , v. 179, p. 66-78, 2016.

• TRIER, IVIND DUE ; Zortea, Maciel ; TONNING, CHRISTER . Automatic detection of mound structures in airborne laser scanning data. Journal of Archaeological Science: Reports , v. 2, p. 69-79, 2015.

• MLLERSEN, KAJSA ; KIRCHESCH, HERBERT ; Zortea, Maciel ; Schopf, Thomas R. ; HINDBERG, KRISTIAN ; Godtliebsen, Fred . Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images. BIOMED RES INT , v. 2015, p. 1-8, 2015.

• BERNART, ELIEZER EMANUEL ; Zortea, Maciel ; SCHARCANSKI, JACOB ; BAMPI, SERGIO . Unsupervised Segmentation and Categorization of Skin Lesions Using Adaptative Thresholds and Stochastic Features. Vision Letters , v. 1, p. 24-24, 2015.

• Zortea, Maciel ; Schopf, Thomas R. ; THON, KEVIN ; GEILHUFE, MARC ; HINDBERG, KRISTIAN ; KIRCHESCH, HERBERT ; MLLERSEN, KAJSA ; SCHULZ, JÖRN ; Skrvseth, Stein Olav ; Godtliebsen, Fred . Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists. Artificial Intelligence in Medicine (Print) , v. 60, p. 13-26, 2014.

• SOMERS, BEN ; Zortea, Maciel ; Plaza, Antonio ; ASNER, GREGORY P. . Automated Extraction of Image-Based Endmember Bundles for Improved Spectral Unmixing. IEEE J-STARS , v. 5, p. 396-408, 2012.

• Zortea, Maciel ; Skrvseth, Stein Olav ; Schopf, Thomas R. ; Kirchesch, Herbert M. ; Godtliebsen, Fred . Automatic Segmentation of Dermoscopic Images by Iterative Classification. International Journal of Biomedical Imaging , v. 2011, p. 1-19, 2011.

• Dopido, Inmaculada ; Zortea, Maciel ; Villa, Alberto ; Plaza, Antonio ; Gamba, Paolo . Unmixing Prior to Supervised Classification of Remotely Sensed Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters (Print) , v. 8, p. 760-764, 2011.

• Garcia-Vilchez, Fernando ; Munoz-Mari, Jordi ; Zortea, Maciel ; Blanes, Ian ; Gonzalez-Ruiz, Vicente ; Camps-Valls, Gustavo ; Plaza, Antonio ; Serra-Sagrista, Joan . On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing. IEEE Geoscience and Remote Sensing Letters (Print) , v. 8, p. 253-257, 2011.

• ZORTEA, M. ; PLAZA, A. . A Quantitative and Comparative Analysis of Different Implementations of N-FINDR: A Fast Endmember Extraction Algorithm. IEEE Geoscience and Remote Sensing Letters (Print) , v. 6, p. 787-791, 2009.

• ZORTEA, M. ; PLAZA, A. . Spatial Preprocessing for Endmember Extraction. IEEE Transactions on Geoscience and Remote Sensing , v. 47, p. 2679-2693, 2009.

• Zortea, Maciel ; Haertel, Victor ; Clarke, Robin . Feature Extraction in Remote Sensing High-Dimensional Image Data. IEEE Geoscience and Remote Sensing Letters (Print) , v. 4, p. 107-111, 2007.

• Zortea, Maciel ; Vitor Haertel ; Clarke, Robin . Investigação sobre métodos para redução da dimensionalidade dos dados em imagens hiperespectrais. Revista Brasileira de Cartografia (Impresso) , v. 57, p. 36-42, 2005.

• ZANOTTA, D. C. ; FERREIRA, M. P. ; ZORTEA, M. . Processamento de imagens de satélite. 1. ed. São Paulo: Oficina de Textos, 2019. v. 1. 320p .

• MLLERSEN, KAJSA ; Zortea, Maciel ; HINDBERG, KRISTIAN ; Schopf, Thomas ; Skrvseth, Stein ; Godtliebsen, Fred . Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics. Digital Imaging and Computer Vision. 1ed.: CRC Press, 2015, v. 1, p. 247-292.

• Plaza, Antonio ; Martin, G. ; Plaza, Javier ; Zortea, Maciel ; Sánchez, Sergio . Recent Developments in Spectral Unmixing and Endmember Extraction. In: S. Prasad, L. Bruce and J. Chanussot. (Org.). Optical Remote Sensing - Advances in Signal Processing and Exploitation Techniques. : Springer, 2011, v. , p. -.

• Zortea, Maciel ; PAREDES, MIGUEL ; MARTINS, LEONARDO S. A. . Hindcast of Soil Moisture Using SMAP, Land Surface Model Output Data, and Regression Methods. In: IGARSS 2021 2021 IEEE International Geoscience and Remote Sensing Symposium, 2021, Brussels. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021. p. 6100.

• QUINONES, M. P. ; ZORTEA, Maciel ; MARTINS, L. S. . Fast-Slow Streamflow Model Using Mass-Conserving LSTM. In: ICML 2021 Workshop, 2021. Tackling Climate Change with Machine Learning, 2021.

• LA ROSA, L. E. C. ; ZORTEA, M. ; GEMIGNANI, B. H. ; OLIVEIRA, D. A. B. ; FEITOSA, R. Q. . FCRN-Based Multi-Task Learning for Automatic Citrus Tree Detection From UAV Images. In: 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), 2020, Santiago. 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), 2020. p. 403.

• Zortea, Maciel ; ROCHA RODRIGUES, EDUARDO . Crop identification using superpixels and supervised classification of multispectral CBERS-4 wide-field imagery. In: Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 2019, Strasbourg. Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 2019. p. 67.

• ZORTEA, M. ; MACEDO, M. M. G. ; MATTOS, A. B. ; RUGA, B. C. ; GEMIGNANI, B. H. . Automatic Citrus Tree Detection from UAV Images based on Convolutional Neural Networks, 2018.

• Zortea, Maciel ; NERY, MARCELO ; RUGA, BERNARDO ; CARVALHO, LARA B. ; BASTOS, ADRIANO C. . Oil-Palm Tree Detection in Aerial Images Combining Deep Learning Classifiers. In: IGARSS 2018 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, Valencia. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018. p. 657.

• ZORTEA, M. ; SANTOS, M. N. ; ZADROZNY, B. ; SCHOENINGER, E. R. ; STETZ, C. C. . Detecting individual eucalyptus crowns in aerial photographs using template matching and classification.. In: SIMPOSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 2016. SIMPOSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 2016.

• ZANOTTA, DANIEL C. ; FERREIRA, MATHEUS P. ; Zortea, Maciel ; ESPINOZA, JEAN A. ; SHIMABUKURO, YOSIO . A supervised Bayesian approach for simultaneous segmentation and classification. In: IGARSS 2015 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015, Milan. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015. p. 2382.

• SALBERG, A.B. ; ZORTEA, Maciel ; ERIKSTAD, L. ; BLUMENTRATH, S. . Object-based multi-sensor data fusion of satellite and aerial images for modeling mountain nature. In: 5th Geographic Object-Based Image Analysis (GEOBIA), 2014, Thessaloniki. South-Eastern European Journal of Earth Observation and Geomatics, 2014. v. 3. p. 469-472.

• ZORTEA, Maciel ; SALBERG, A.B. ; SOLBERG, R. . Unsupervised change detection in large-size images: exploring edges in multi-temporal remote sensing acquisitions. In: 5th Geographic Object-Based Image Analysis Conference (GEOBIA), 2014, Thessaloniki. South-Eastern European Journal of Earth Observation and Geomatics, 2014. v. 3. p. 713-716.

• FERREIRA, M. P. ; ZANOTTA, D. C. ; ZORTEA, M ; KORTING, T. ; FONCESA, L. ; SHIMABUKURO, Y. E. ; SOUZA FILHO, C. . Automatic tree crown delineation in tropical forest using hyperspectral data. In: IEEE International Geoscience and Remote Sensing Symposium, 2014, Québec. IEEE International Geoscience and Remote Sensing Symposium, 2014.

• ZANOTTA, D. C. ; FERREIRA, M. P. ; ZORTEA, M ; SHIMABUKURO, Y. E. . A statistical approach for simultaneous segmentation and classification. In: IEEE International Geoscience and Remote Sensing Symposium, 2014, Québec. IEEE International Geoscience and Remote Sensing Symposium, 2014.

• SALBERG, A. ; LARSEN, S. . ; ZORTEA, M . Multisource oil spill detection. In: SPIE Image and Signal Processing for Remote Sensing XIX, 2013, Dresden. SPIE Image and Signal Processing for Remote Sensing XIX, 2013. v. 8892.

• SALBERG, A. ; Lars Erikstad ; ZORTEA, M . Fusion of satellite and aerial images for identification and modeling of nature types. In: SPIE Image and Signal Processing for Remote Sensing XIX, 2013, Dresden. SPIE Image and Signal Processing for Remote Sensing XIX, 2013. v. 8892.

• ZORTEA, M ; SALBERG, A. ; SOLBERG, R. . Semi-automatic detection of rainfall-triggered landslides in segmented optical satellite images. In: Joint Urban Remote Sensing Event (JURSE), 2013, Sao Paulo. Joint Urban Remote Sensing Event (JURSE), 2013. p. 254-257.

• DUE TRIER, . ; ZORTEA, Maciel ; LARSEN, S. . . Semi-automatic detection of burial mounds in forested areas. In: 32nd EARSeL Symposium and 36th General Assembly, 2012, Mykonos. 32nd EARSeL Symposium and 36th General Assembly, 2012.

• ZORTEA, Maciel ; SALBERG, A. ; DUE TRIER, . . Object-based cloud and cloud shadow detection in Landsat images for tropical forest monitoring. In: 4th Geographic Object-Based Image Analysis (GEOBIA), 2012, Rio de Janeiro. 4th Geographic Object-Based Image Analysis (GEOBIA), 2012.

• DUE TRIER, . ; ZORTEA, M . Semi-automatic detection of cultural heritage in lidar data. In: 4th Geographic Object-Based Image Analysis (GEOBIA), 2012, Rio de Janeiro. 4th Geographic Object-Based Image Analysis (GEOBIA), 2012.

• MARTIN, GABRIEL ; Plaza, Antonio ; Zortea, Maciel . Noise-robust spatial preprocessing prior to endmember extraction from hyperspectral data. In: IGARSS 2011 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011, Vancouver. 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011. p. 1287.

• Zortea, Maciel ; Plaza, Antonio . Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation. In: IGARSS 2010 2010 IEEE International Geoscience and Remote Sensing Symposium, 2010, Honolulu. 2010 IEEE International Geoscience and Remote Sensing Symposium, 2010. p. 963.

• SKROVSETH, STEIN OLAV ; Schopf, Thomas R. ; THON, KEVIN ; Zortea, Maciel ; GEILHUFE, MARC ; MOLLERSEN, KAJSA ; Kirchesch, Herbert M. ; Godtliebsen, Fred . A computer aided diagnostic system for malignant melanomas. In: 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010), 2010, Roma. 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010), 2010. p. 1.

• ZORTEA, M ; SKROVSETH, S O ; GODTLIEBSEN, F . Automatic learning of spatial patterns for diagnosis of skin lesions. In: 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010), 2010, Buenos Aires. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010. p. 5601.

• Zortea, Maciel ; TUIA, DEVIS ; PACIFICI, FABIO ; Plaza, Antonio . Spectral-textural endmember extraction. In: 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010, Reykjavik. 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010. p. 1.

• Plaza, Antonio ; Martin, G. ; Zortea, Maciel . On the incorporation of spatial information to endmember extraction: Survey and algorithm comparison. In: Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on, 2009, Grenoble. Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on, 2009. p. 1-4.

• Martin, G. ; Zortea, Maciel ; Plaza, Antonio . Analysis of different strategies for incorporating spatial information in the design of endmember extraction algorithms from hyperspectral data. In: IEEE International Geoscience and Remote Sensing Symposium, 2009, Cape Town. IEEE International Geoscience and Remote Sensing Symposium, 2009. v. 4. p. 877-880.

• Zortea, Maciel ; Plaza, Antonio . Improved Spectral Unmixing of Hyperspectral Images Using Spatially Homogeneous Endmembers. In: IEEE International Symposium on Signal Processing and Information Technology, 2008, Sarajevo. IEEE International Symposium on Signal Processing and Information Technology, 2008. p. 258-263.

• Zortea, Maciel ; De Martino, M. ; Serpico, S.B. . A SVM ensemble approach for spectral-contextual classification of optical high spatial resolution imagery. In: IEEE International Geoscience and Remote Sensing Symposium, 2007, Barcelona. IEEE International Geoscience and Remote Sensing Symposium, 2007. p. 1489-1492.

• Zortea, Maciel ; Moser, G. ; Serpico, S.B. . Investigation of an ensemble framework for classification of hyperspectral remote sensing data with nearly equal spectral response classes. In: Image and Signal Processing for Remote Sensing XIII, 2007, Florence. Proceedings of SPIE, the International Society for Optical Engineering, 2007. v. 6748. p. 67480P.1-67480P.12.

• Serpico, S.B. ; De Martino, M. ; Moser, G. ; ZORTEA, Maciel . Land Surface Temperature Estimation from Passive Satellite Images using Support Vector Machines. In: IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006, Denver. IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. p. 2109-2112.

• Zortea, Maciel ; Vitor Haertel . Experiments on feature extraction in remotely sensed hyperspectral image data. In: IEEE International Geoscience and Remote Sensing Symposium, 2004, Anchorage. IEEE International Geoscience and Remote Sensing Symposium, 2004. v. 2. p. 964-967.

• ZORTEA, Maciel ; ANDREOLLI, Ivanilto ; VARGAS, Alexandre Silva de ; GUADAGNIN, Demetrio Luis . Simulação Numérica do Comportamento de Sistema Coletor de Água de Chuva Residencial: Estudo de Caso. In: XV Simpósio Brasileiro de Recursos Hídricos, 2003, Curitiba. -, 2003.

• LIMA, Lílian ; SOARES, Christiane ; WAGNER, Ana Paula ; ZORTEA, Maciel . Análise Visual de Imagens - Uma Experiência Muldisciplinar em Sensoriamento Remoto: Ênfase na Verdade Terrestre. In: Jornada de Jovens Pesquisadores da Associação de Universidades do Grupo Montevidéu, 2002, Florianópolis. Anais do X Jornada de Jovens Pesquisadores da AUGM, 2002.

• ANDREOLLI, Ivanilto ; ZORTEA, Maciel ; MENEZES, Ruy Carlos Ramos de . Determinação da Força Limite Suportada por uma Torre de Transmissão de Evergia Elétrica devida ao Vento.. In: XV Congresso Regional de Iniciação Científica e Tecnológica em Engenharia, 2000, Rio Grande - RS. CRICTE 2000. Rio Grande, 2000. v. 1. p. 8-9.

• ZORTEA, Maciel ; SOUZA, Acir Mércio Loredo . Estudo do Coeficiente de Arrasto em Torres de Linhas de Transmissão de Energia. In: X Salão de Iniciação Científica, 1998, Porto Alegre. Anais. Porto Alegre: Universidade Federal do Rio Grande do Sul, 1998. v. 1. p. 172-172.

• DUE TRIER, . ; KRISTENSEN, S. ; KRISTIANSEN, M. ; LOSKA, A. ; PILO, L. H. ; SAMDAL, M. ; TONNING, C. ; ZORTEA, M . Application of Remote Sensing in Cultural Heritage Management. Oslo: Norwegian Computing Centre, 2014 (Relatório técnico-científico).

• ZORTEA, M . Spectral variability of surface reflectance for monitoring tropical forests in Tanzania. Oslo: Norwegian Computing Centre, 2013 (Relatório técnico-científico).

• ZORTEA, M ; SOLBERG, R. ; SALBERG, A. . Evaluation of SWE retrieved from satellite PMR data for three catchments in Hardangervidda. Oslo: Norwegian Computing Centre, 2013 (Relatório técnico-científico).

• ZORTEA, M ; SOLBERG, R. ; LARSEN, H. E. . E-MAN - Emergency management pilot project. Oslo: Norwegian Computing Centre, 2012 (Relatório técnico-científico).

• ZORTEA, M ; SOLBERG, R. . Atmospheric correction based on SMAC. Oslo: Norwegian Computing Centre, 2012 (Relatório técnico-científico).

• ZORTEA, M ; DUE TRIER, . ; SALBERG, A. . Cloud and cloud shadow detection in Landsat images for monitoring tropical forests in Tanzania. Oslo: Norwegian Computing Centre, 2012 (Relatório técnico-científico).

• SALBERG, A. ; Lars Erikstad ; ZORTEA, M . Satellittbasert kartlegging av Naturtyper i Norge. Oslo: Norwegian Computing Centre, 2012 (Relatório técnico-científico).

• ZORTEA, M ; DUE TRIER, . ; SOLBERG, R. . Evaluation of the Landsat surface reflectance estimated by LEDAPS. Oslo: Norwegian Computing Centre, 2011 (Relatório técnico-científico).

• ZORTEA, Maciel ; ANDREOLLI, Ivanilto ; FEUERHARMEL, Carolina ; GERARD, Raquel . Estudo hidrológico da Bacia do Arroio do Ouro 2000 (Monografia).

Projetos de pesquisa

• 2014 - 2014

  Cost-effective observation methodology to assess seal population sizes using unmanned aerial vehicle and automatic image analysis, Descrição: [EN] The abundance estimation of ice breeding seals (harp and hooded) and coastal seals (grey and harbour) are based on aerial photographic surveys and manual inspection of aerial photographs. Photo surveys in remote areas (the Arctic) are expensive and the logistics have become increasingly difficult during the last years. Manual analysis of the images is extremely time consuming and costly, and involves subjective human interpretation by trained experts. The Norwegian Computing Center (NR) will focus on developing methodology for automating the process of counting seals from aerial images. This will be achieved through the development of new image analysis and pattern recognition techniques tailored to detect seals in digital color images. NR will also investigate the potential of thermal infrared sensors that extract temperature characteristics of the imaged objects. Several partner institutions are involved in the project. Financing: The Research Council of Norway.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Maciel ZORTEA - Integrante / Arnt-Brre Salberg - Coordenador.

• 2014 - 2014

  Monitoring and mapping of environmental gradients using Sentinel data in combination with supplemental data, Descrição: [EN] Traditionally, the aim of using remote sensing in the context of nature conservation and environmental monitoring / ecosystem management has been to classify remotely sensed data into e.g. vegetation or land cover classes. Mapping discrete types of nature however is already challenging when conducted manually due to the fractal characteristic of nature and the very often gradual changes in pattern. For that reason vegetation mapping using satellites like Landsat often results in mapping products with limited benefit when applied to complex and heterogeneous vegetation cover. The main objective of this project is to develop and advance a novel approach to remote sensing, which focuses on monitoring basic environmental gradients and properties (covering physical, chemical and biological components as well as their interactions), rather than discrete mapping of vegetation classes. Partner: Norwegian Institute for Nature Research (NINA). Financing: ESA/Prodex.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Maciel ZORTEA - Integrante / Arnt-Brre Salberg - Coordenador.

• 2007 - 2008

  Hyperspectral imaging Network, Descrição: [EN] HYPER-I-NET was a four-year Marie Curie Research Training Network (RTN) designed to build an interdisciplinary European research community focusing on hyperspectral imaging. The theme of the network is at the confluence of heterogeneous disciplines, such as sensor design including optics and electronics, aerospace engineering, remote sensing, geosciences, computer sciences, signal processing and Earth observation related products. Dr. Zortea was integrated in a research effort led by Prof. Antonio Plaza, oriented towards the definition and implementation of advanced hyperspectral image processing techniques, in the context of remote sensing applications. More information in http://hyperinet.multimediacampus.it. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Maciel ZORTEA - Integrante / Plaza, Antonio - Coordenador.

Projetos de desenvolvimento

• 2012 - 2013

  Multisensor Satellite Technologies for Oil Pollution Monitoring and Source Identification, Descrição: [EN] The overall objective of the this project was to improve the current state-of-the art methodology for satellite based oil spill detection and to demonstrate through deliveries to existing and new users how these improvements can contribute to the development of sustainable downstream service. The improvements of the oil spill detection service were achieved by integrating new geo-information products from the Marine Core Service or MyOcean, and complementary optical images into innovative methods for oil spill detection. Client: European Commission.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Arnt-B rre Salberg - Coordenador / Outros participantes - Integrante.

• 2012 - 2012

  Emergency Management pilot project, Descrição: [EN] This was a pilot project to study the market, organizational conditions, and the technical aspects of providing services based on Earth Observation in support of emergency management (EM). In this project, NR was in partnership with KSAT, which serves daily about 60 satellites. Data from several of these are very relevant to EM. Client: Norwegian Space Centre.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Rune Solberg - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Localization and monitoring of cultural heritage, Descrição: [EN] This project develops semi-automatic methods for detecting and mapping cultural heritage in Norway. The overall goal is to develop a cost-effective method for surveying and monitoring sites on a regional and national scale. In particular we aim at developing algorithms for semi-automatic detection of grave mounds and iron extraction sites in airborne laser scanning data (LiDAR). Client: Norwegian Directorate for Cultural Heritage. . , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / ivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Tropical forest monitoring in Tanzania, Descrição: [EN] Tropical forest monitoring in Tanzania is challenging due to frequent and partial cloud cover. Also, there are large seasonal variations in the spectral response of vegetation, due to the rain seasons and dry periods. This means that detecting forest changes simply by classifying two satellite images taken a few years apart, and compute the difference, will not work well in practice. We are using a Hidden Markov Model approach to address these and other challenges in order to do forest mapping and forest change detection. The method is based on using a large time series of images that are processed automatically. Client: The Government of Norway/Tanzania.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / ivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2012 - 2013

  Multisensor Satellite Technologies for Oil Pollution Monitoring and Source Identification, Descrição: [EN] The overall objective of the this project was to improve the current state-of-the art methodology for satellite based oil spill detection and to demonstrate through deliveries to existing and new users how these improvements can contribute to the development of sustainable downstream service. The improvements of the oil spill detection service were achieved by integrating new geo-information products from the Marine Core Service or MyOcean, and complementary optical images into innovative methods for oil spill detection. Client: European Commission.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Arnt-B rre Salberg - Coordenador / Outros participantes - Integrante.

• 2012 - 2012

  Emergency Management pilot project, Descrição: [EN] This was a pilot project to study the market, organizational conditions, and the technical aspects of providing services based on Earth Observation in support of emergency management (EM). In this project, NR was in partnership with KSAT, which serves daily about 60 satellites. Data from several of these are very relevant to EM. Client: Norwegian Space Centre.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Rune Solberg - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Localization and monitoring of cultural heritage, Descrição: [EN] This project develops semi-automatic methods for detecting and mapping cultural heritage in Norway. The overall goal is to develop a cost-effective method for surveying and monitoring sites on a regional and national scale. In particular we aim at developing algorithms for semi-automatic detection of grave mounds and iron extraction sites in airborne laser scanning data (LiDAR). Client: Norwegian Directorate for Cultural Heritage. . , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / ivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Tropical forest monitoring in Tanzania, Descrição: [EN] Tropical forest monitoring in Tanzania is challenging due to frequent and partial cloud cover. Also, there are large seasonal variations in the spectral response of vegetation, due to the rain seasons and dry periods. This means that detecting forest changes simply by classifying two satellite images taken a few years apart, and compute the difference, will not work well in practice. We are using a Hidden Markov Model approach to address these and other challenges in order to do forest mapping and forest change detection. The method is based on using a large time series of images that are processed automatically. Client: The Government of Norway/Tanzania.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / ivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2012 - 2013

  Multisensor Satellite Technologies for Oil Pollution Monitoring and Source Identification, Descrição: [EN] The overall objective of the this project was to improve the current state-of-the art methodology for satellite based oil spill detection and to demonstrate through deliveries to existing and new users how these improvements can contribute to the development of sustainable downstream service. The improvements of the oil spill detection service were achieved by integrating new geo-information products from the Marine Core Service or MyOcean, and complementary optical images into innovative methods for oil spill detection. Client: European Commission.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Arnt-Børre Salberg - Coordenador / Outros participantes - Integrante.

• 2012 - 2012

  Emergency Management pilot project, Descrição: [EN] This was a pilot project to study the market, organizational conditions, and the technical aspects of providing services based on Earth Observation in support of emergency management (EM). In this project, NR was in partnership with KSAT, which serves daily about 60 satellites. Data from several of these are very relevant to EM. Client: Norwegian Space Centre.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Rune Solberg - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Tropical forest monitoring in Tanzania, Descrição: [EN] Tropical forest monitoring in Tanzania is challenging due to frequent and partial cloud cover. Also, there are large seasonal variations in the spectral response of vegetation, due to the rain seasons and dry periods. This means that detecting forest changes simply by classifying two satellite images taken a few years apart, and compute the difference, will not work well in practice. We are using a Hidden Markov Model approach to address these and other challenges in order to do forest mapping and forest change detection. The method is based on using a large time series of images that are processed automatically. Client: The Government of Norway/Tanzania.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Localization and monitoring of cultural heritage, Descrição: [EN] This project develops semi-automatic methods for detecting and mapping cultural heritage in Norway. The overall goal is to develop a cost-effective method for surveying and monitoring sites on a regional and national scale. In particular we aim at developing algorithms for semi-automatic detection of grave mounds and iron extraction sites in airborne laser scanning data (LiDAR). Client: Norwegian Directorate for Cultural Heritage.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2012 - 2013

  Multisensor Satellite Technologies for Oil Pollution Monitoring and Source Identification, Descrição: [EN] The overall objective of the this project was to improve the current state-of-the art methodology for satellite based oil spill detection and to demonstrate through deliveries to existing and new users how these improvements can contribute to the development of sustainable downstream service. The improvements of the oil spill detection service were achieved by integrating new geo-information products from the Marine Core Service or MyOcean, and complementary optical images into innovative methods for oil spill detection. Client: European Commission.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Arnt-Børre Salberg - Coordenador / Outros participantes - Integrante.

• 2012 - 2012

  Emergency Management pilot project, Descrição: [EN] This was a pilot project to study the market, organizational conditions, and the technical aspects of providing services based on Earth Observation in support of emergency management (EM). In this project, NR was in partnership with KSAT, which serves daily about 60 satellites. Data from several of these are very relevant to EM. Client: Norwegian Space Centre.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Rune Solberg - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Tropical forest monitoring in Tanzania, Descrição: [EN] Tropical forest monitoring in Tanzania is challenging due to frequent and partial cloud cover. Also, there are large seasonal variations in the spectral response of vegetation, due to the rain seasons and dry periods. This means that detecting forest changes simply by classifying two satellite images taken a few years apart, and compute the difference, will not work well in practice. We are using a Hidden Markov Model approach to address these and other challenges in order to do forest mapping and forest change detection. The method is based on using a large time series of images that are processed automatically. Client: The Government of Norway/Tanzania.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Localization and monitoring of cultural heritage, Descrição: [EN] This project develops semi-automatic methods for detecting and mapping cultural heritage in Norway. The overall goal is to develop a cost-effective method for surveying and monitoring sites on a regional and national scale. In particular we aim at developing algorithms for semi-automatic detection of grave mounds and iron extraction sites in airborne laser scanning data (LiDAR). Client: Norwegian Directorate for Cultural Heritage.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2012 - 2013

  Multisensor Satellite Technologies for Oil Pollution Monitoring and Source Identification, Descrição: [EN] The overall objective of the this project was to improve the current state-of-the art methodology for satellite based oil spill detection and to demonstrate through deliveries to existing and new users how these improvements can contribute to the development of sustainable downstream service. The improvements of the oil spill detection service were achieved by integrating new geo-information products from the Marine Core Service or MyOcean, and complementary optical images into innovative methods for oil spill detection. Client: European Commission.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Arnt-Børre Salberg - Coordenador / Outros participantes - Integrante.

• 2012 - 2012

  Emergency Management pilot project, Descrição: [EN] This was a pilot project to study the market, organizational conditions, and the technical aspects of providing services based on Earth Observation in support of emergency management (EM). In this project, NR was in partnership with KSAT, which serves daily about 60 satellites. Data from several of these are very relevant to EM. Client: Norwegian Space Centre.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Rune Solberg - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Tropical forest monitoring in Tanzania, Descrição: [EN] Tropical forest monitoring in Tanzania is challenging due to frequent and partial cloud cover. Also, there are large seasonal variations in the spectral response of vegetation, due to the rain seasons and dry periods. This means that detecting forest changes simply by classifying two satellite images taken a few years apart, and compute the difference, will not work well in practice. We are using a Hidden Markov Model approach to address these and other challenges in order to do forest mapping and forest change detection. The method is based on using a large time series of images that are processed automatically. Client: The Government of Norway/Tanzania.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Localization and monitoring of cultural heritage, Descrição: [EN] This project develops semi-automatic methods for detecting and mapping cultural heritage in Norway. The overall goal is to develop a cost-effective method for surveying and monitoring sites on a regional and national scale. In particular we aim at developing algorithms for semi-automatic detection of grave mounds and iron extraction sites in airborne laser scanning data (LiDAR). Client: Norwegian Directorate for Cultural Heritage.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2012 - 2013

  Multisensor Satellite Technologies for Oil Pollution Monitoring and Source Identification, Descrição: [EN] The overall objective of the this project was to improve the current state-of-the art methodology for satellite based oil spill detection and to demonstrate through deliveries to existing and new users how these improvements can contribute to the development of sustainable downstream service. The improvements of the oil spill detection service were achieved by integrating new geo-information products from the Marine Core Service or MyOcean, and complementary optical images into innovative methods for oil spill detection. Client: European Commission.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Arnt-Børre Salberg - Coordenador / Outros participantes - Integrante.

• 2012 - 2012

  Emergency Management pilot project, Descrição: [EN] This was a pilot project to study the market, organizational conditions, and the technical aspects of providing services based on Earth Observation in support of emergency management (EM). In this project, NR was in partnership with KSAT, which serves daily about 60 satellites. Data from several of these are very relevant to EM. Client: Norwegian Space Centre.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Rune Solberg - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Localization and monitoring of cultural heritage, Descrição: [EN] This project develops semi-automatic methods for detecting and mapping cultural heritage in Norway. The overall goal is to develop a cost-effective method for surveying and monitoring sites on a regional and national scale. In particular we aim at developing algorithms for semi-automatic detection of grave mounds and iron extraction sites in airborne laser scanning data (LiDAR). Client: Norwegian Directorate for Cultural Heritage.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Tropical forest monitoring in Tanzania, Descrição: [EN] Tropical forest monitoring in Tanzania is challenging due to frequent and partial cloud cover. Also, there are large seasonal variations in the spectral response of vegetation, due to the rain seasons and dry periods. This means that detecting forest changes simply by classifying two satellite images taken a few years apart, and compute the difference, will not work well in practice. We are using a Hidden Markov Model approach to address these and other challenges in order to do forest mapping and forest change detection. The method is based on using a large time series of images that are processed automatically. Client: The Government of Norway/Tanzania.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2012 - 2013

  Multisensor Satellite Technologies for Oil Pollution Monitoring and Source Identification, Descrição: [EN] The overall objective of the this project was to improve the current state-of-the art methodology for satellite based oil spill detection and to demonstrate through deliveries to existing and new users how these improvements can contribute to the development of sustainable downstream service. The improvements of the oil spill detection service were achieved by integrating new geo-information products from the Marine Core Service or MyOcean, and complementary optical images into innovative methods for oil spill detection. Client: European Commission.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Arnt-Børre Salberg - Coordenador / Outros participantes - Integrante.

• 2012 - 2012

  Emergency Management pilot project, Descrição: [EN] This was a pilot project to study the market, organizational conditions, and the technical aspects of providing services based on Earth Observation in support of emergency management (EM). In this project, NR was in partnership with KSAT, which serves daily about 60 satellites. Data from several of these are very relevant to EM. Client: Norwegian Space Centre.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Rune Solberg - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Localization and monitoring of cultural heritage, Descrição: [EN] This project develops semi-automatic methods for detecting and mapping cultural heritage in Norway. The overall goal is to develop a cost-effective method for surveying and monitoring sites on a regional and national scale. In particular we aim at developing algorithms for semi-automatic detection of grave mounds and iron extraction sites in airborne laser scanning data (LiDAR). Client: Norwegian Directorate for Cultural Heritage.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Tropical forest monitoring in Tanzania, Descrição: [EN] Tropical forest monitoring in Tanzania is challenging due to frequent and partial cloud cover. Also, there are large seasonal variations in the spectral response of vegetation, due to the rain seasons and dry periods. This means that detecting forest changes simply by classifying two satellite images taken a few years apart, and compute the difference, will not work well in practice. We are using a Hidden Markov Model approach to address these and other challenges in order to do forest mapping and forest change detection. The method is based on using a large time series of images that are processed automatically. Client: The Government of Norway/Tanzania.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Øivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2012 - 2013

  Multisensor Satellite Technologies for Oil Pollution Monitoring and Source Identification, Descrição: [EN] The overall objective of the this project was to improve the current state-of-the art methodology for satellite based oil spill detection and to demonstrate through deliveries to existing and new users how these improvements can contribute to the development of sustainable downstream service. The improvements of the oil spill detection service were achieved by integrating new geo-information products from the Marine Core Service or MyOcean, and complementary optical images into innovative methods for oil spill detection. Client: European Commission.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Arnt-Brre Salberg - Coordenador / Outros participantes - Integrante.

• 2012 - 2012

  Emergency Management pilot project, Descrição: [EN] This was a pilot project to study the market, organizational conditions, and the technical aspects of providing services based on Earth Observation in support of emergency management (EM). In this project, NR was in partnership with KSAT, which serves daily about 60 satellites. Data from several of these are very relevant to EM. Client: Norwegian Space Centre.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / Rune Solberg - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Localization and monitoring of cultural heritage, Descrição: [EN] This project develops semi-automatic methods for detecting and mapping cultural heritage in Norway. The overall goal is to develop a cost-effective method for surveying and monitoring sites on a regional and national scale. In particular we aim at developing algorithms for semi-automatic detection of grave mounds and iron extraction sites in airborne laser scanning data (LiDAR). Client: Norwegian Directorate for Cultural Heritage.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / ivind Due Trier - Coordenador / Outros participantes - Integrante.

• 2011 - 2014

  Tropical forest monitoring in Tanzania, Descrição: [EN] Tropical forest monitoring in Tanzania is challenging due to frequent and partial cloud cover. Also, there are large seasonal variations in the spectral response of vegetation, due to the rain seasons and dry periods. This means that detecting forest changes simply by classifying two satellite images taken a few years apart, and compute the difference, will not work well in practice. We are using a Hidden Markov Model approach to address these and other challenges in order to do forest mapping and forest change detection. The method is based on using a large time series of images that are processed automatically. Client: The Government of Norway/Tanzania.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Maciel ZORTEA - Integrante / ivind Due Trier - Coordenador / Outros participantes - Integrante.

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