Combining new technologies to monitor phenology from leaves to ecosystems

• Processo: 13/50155-0
• Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - PITE
• Vigência: 01 de fevereiro de 2014 - 31 de julho de 2019
• Área do conhecimento: Ciências Biológicas - Ecologia - Ecologia de Ecossistemas
• Convênio/Acordo: Microsoft Research
• Pesquisador responsável: Leonor Patricia Cerdeira Morellato
• Beneficiário: Leonor Patricia Cerdeira Morellato
• Instituição Sede: Instituto de Biociências (IB). Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Rio Claro , SP, Brasil
• Município: Rio Claro
• Instituição parceira: Microsoft
• Pesquisadores principais: Ricardo da Silva Torres ; Thiago Sanna Freire Silva
• Bolsa(s) vinculada(s): 16/23751-0 - Implementação e gerenciamento do banco de dados do projeto e-Phenology, BP.TT; 17/00597-8 - Padrões sazonais de troca foliar em espécies de diferentes grupos funcionais usando câmeras (fenocâmeras), BP.IC; 15/17534-3 - Controles bióticos e abióticos sobre a diversidade de espécies em um gradiente altitudinal: testando teorias ecológicas através de atributos óticos, BP.DR; + mais bolsas vinculadas 14/13354-8 - Fenologia na escala da paisagem: coleta e processamento de imagens com o uso de veículo aéreo não tripulado (VANT), BP.TT; 14/07700-0 - Combinando tecnologias novas para monitorar a fenologia das folhas aos ecossistemas, BP.MS; 14/09283-8 - E-phenology: combinando tecnologias novas para monitorar a fenologia das folhas aos ecossistemas, BP.TT - menos bolsas vinculadas
• Assunto(s): Mudança climática Imagem digital Fenologia Reprodução vegetal
• Palavra(s)-Chave do Pesquisador: Climate Chamge | Digital Images | Hyperspectral Images | Leafing | Phenology | Plant Reproduction

Resumo

The e-phenology is a multidisciplinary project that explores innovative solutions for plant monitoring in the tropics, combining research in Computer Science, Phenology, and Ecology. On-the-ground phenological observations preclude large areas of study and are laborious and time consuming. Near-surface remote phenology with digital cameras is still area-limited but reduces considerably manpower. Furthermore, it has proven to be an important tool for monitoring several species and accurately accessing leaf changes. In this project, we aim to apply new technologies to enhance the capabilities of near-surface remote phenological observation to detect changes on various scales, from leaves to ecosystems. Our goal is to address theoretical and practical problems involving the combination of two remote phenology monitoring systems: digital and hyperspectral cameras at three scales: on-the-ground, phenology tower, and near-space using Unmanned Aerial Vehicle (UAV). It is geared towards four innovative objectives: (a) to develop a protocol for extracting spectral data from the RGB color channels, improving the information that can be derived from low-cost digital monitoring systems; (b) to apply those technologies to extract plant ecophysiological data advancing our knowledge of plant seasonal responses to environmental drivers in the tropics to climate change; (c) to develop near-surface monitoring system for reproductive phenophases i.e., flowering and fruiting, based on digital and hyperspectral images truth-grounded by species-specific spectral data; and (d) to advance and to apply novel database, image processing, machine learning, and visualization models, methods, and algorithms to support acquisition, management, integration, and analysis of phenology data systems from various scales. The research team is composed of Computer Scientists and researchers in Plant Ecology and Phenology. (AU)

Publicações científicas

(118)

(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)

SOARES, NATALIA COSTA; CERDEIRA MORELLATO, LEONOR PATRICIA. Crepuscular pollination and reproductive ecology of Trembleya laniflora (Melastomataceae), an endemic species in mountain rupestrian grasslands. FLORA, v. 238, n. SI, p. 138-147, JAN 2018. (09/54208-6, 10/51307-0, 13/50155-0)

CALUMBY, RODRIGO TRIPODI; GONCALVES, MARCOS ANDRE; TORRES, RICARDO DA SILVA. Diversity-based interactive learning meets multimodality. Neurocomputing, v. 259, n. SI, p. 159-175, OCT 11 2017. (13/50155-0, 13/50169-1)

DOS SANTOS, JEFERSSON A.; PENATTI, OTAVIO A. B.; GOSSELIN, PHILIPPE-HENRI; FALCAO, ALEXANDRE X.; PHILIPP-FOLIGUET, SYLVIE; TORRES, RICARDO DA S.. Efficient and Effective Hierarchical Feature Propagation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 7, n. 12, SI, p. 4632-4643, DEC 2014. (08/58528-2, 13/50155-0, 12/18768-0, 09/10554-8, 13/50169-1)

FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; ROCHA, ANDERSON; TORRES, RICARDO DA S.. Time series-based classifier fusion for fine-grained plant species recognition. PATTERN RECOGNITION LETTERS, v. 81, n. SI, p. 101-109, OCT 1 2016. (10/51307-0, 14/00215-0, 10/14910-0, 10/52113-5, 13/50155-0, 07/59779-6, 10/05647-4, 07/52015-0, 09/18438-7, 11/51523-8)

WERNECK, RAFAEL DE OLIVEIRA; DE ALMEIDA, WALDIR RODRIGUES; STEIN, BERNARDO VECCHIA; PAZINATO, DANIEL VATANABE; MENDES JUNIOR, PEDRO RIBEIRO; BIZETTO PENATTI, OTAVIO AUGUSTO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 78, n. 1, p. 59-76, JAN 2018. (16/18429-1, 15/19222-9, 13/50155-0, 14/12236-1, 13/50169-1)

OLLERTON, JEFF; LIEDE-SCHUMANN, SIGRID; ENDRESS, MARY E.; MEVE, ULRICH; RECH, ANDRE RODRIGO; SHUTTLEWORTH, ADAM; KELLER, HECTOR A.; FISHBEIN, MARK; ALVARADO-CARDENAS, LEONARDO O.; AMORIM, FELIPE W.; et al. The diversity and evolution of pollination systems in large plant clades: Apocynaceae as a case study. ANNALS OF BOTANY, v. 123, n. 2, SI, p. 311-325, JAN 23 2019. (10/51307-0, 13/50155-0)

PEREIRA, LUIS A. M.; TORRES, RICARDO DA SILVA. Semi-supervised transfer subspace for domain adaptation. PATTERN RECOGNITION, v. 75, n. SI, p. 235-249, MAR 2018. (13/50155-0, 15/09169-3, 13/50169-1)

ROTHER, DEBORA C.; SOUSA, IGOR L. F.; GRESSLER, ELIANA; LIBONI, ANA P.; SOUZA, VINICIUS C.; RODRIGUES, RICARDO R.; MORELLATO, L. PATRICIA. Comparing the potential reproductive phenology between restored areas and native tropical forest fragments in Southeastern Brazil. RESTORATION ECOLOGY, SEP 2021. (13/50718-5, 12/24118-8, 09/54208-6, 13/50155-0)

GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; TORRES, RICARDO DA S.. A BFS-Tree of ranking references for unsupervised manifold learning. PATTERN RECOGNITION, v. 111, MAR 2021. (16/50250-1, 15/24494-8, 13/50155-0, 18/15597-6, 13/50169-1, 17/20945-0, 14/12236-1, 17/25908-6, 14/50715-9)

FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LUCIO. On the prediction of long-lived bugs: An analysis and comparative study using FLOSS projects. INFORMATION AND SOFTWARE TECHNOLOGY, v. 132, APR 2021. (14/50715-9, 16/50250-1, 14/12236-1, 15/24494-8, 17/20945-0, 13/50155-0)

CAMPANA, JOSE L. FLORES; PINTO, ALLAN; CORDOVA NEIRA, MANUEL ALBERTO; LORGUS DECKER, LUIS GUSTAVO; SANTOS, ANDREZA; CONCEICAO, JHONATAS S.; TORRES, RICARDO DA SILVA. On the Fusion of Text Detection Results: A Genetic Programming Approach. IEEE ACCESS, v. 8, p. 81257-81270, 2020. (19/16253-1, 16/50250-1, 14/50715-9, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8)

DIAS, DANIELLE; DIAS, ULISSES; MENINI, NATHALIA; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO DA S.. Image-Based Time Series Representations for Pixelwise Eucalyptus Region Classification: A Comparative Study. IEEE Geoscience and Remote Sensing Letters, v. 17, n. 8, p. 1450-1454, AUG 2020. (14/50715-9, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1)

FADEL, SAMUEL G.; TORRES, RICARDO DA S.. Neural relational inference for disaster multimedia retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 79, n. 35-36, JUL 2020. (14/50715-9, 16/50250-1, 17/24005-2, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)

ALBARRACIN, JUAN F. H.; OLIVEIRA, RAFAEL S.; HIROTA, MARINA; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S.. A Soft Computing Approach for Selecting and Combining Spectral Bands. REMOTE SENSING, v. 12, n. 14, JUL 2020. (15/02105-0, 14/50715-9, 13/50169-1, 16/08085-3, 14/12236-1, 17/12646-3, 16/26170-8, 13/50155-0, 18/06918-3)

WERNECK, RAFAEL DE O.; RAVEAUX, ROMAIN; TABBONE, SALVATORE; TORRES, RICARDO DA S.; BAI, X; HANCOCK, ER; HO, TK; WILSON, RC; BIGGIO, B; ROBLESKELLY, A. Learning Cost Functions for Graph Matching. STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, S+SSPR 2018, v. 11004, p. 10-pg., 2018-01-01. (14/50715-9, 17/20945-0, 14/12236-1, 16/18429-1, 16/50250-1, 13/50169-1, 13/50155-0, 15/24494-8)

GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; ALMEIDA, JURANDY; TONES, RICARDO DA S.. Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. IEEE Transactions on Image Processing, v. 28, n. 12, p. 5824-5838, DEC 2019. (14/50715-9, 16/50250-1, 17/25908-6, 17/20945-0, 14/12236-1, 16/06441-7, 18/15597-6, 13/50155-0, 17/02091-4, 15/24494-8)

FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LTICIO. Bug report severity level prediction in open source software: A survey and research opportunities. INFORMATION AND SOFTWARE TECHNOLOGY, v. 115, p. 58-78, NOV 2019. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

STAGGEMEIER, VANESSA GRAZIELE; GUTIERREZ CAMARGO, MARIA GABRIELA; FELIZOLA DINIZ-FILHO, JOSE ALEXANDRE; FRECKLETON, ROBERT; JARDIM, LUCAS; CERDEIRA MORELLATO, LEONOR PATRICIA. The circular nature of recurrent life cycle events: a test comparing tropical and temperate phenology. JOURNAL OF ECOLOGY, v. 108, n. 2, p. 393-404, MAR 2020. (16/02312-8, 14/13899-4, 15/10754-8, 18/14118-7, 13/50155-0)

ALBERTON, BRUNA; TORRES, RICARDO DA SILVA; SANNA FREIRE SILVA, THIAGO; DA ROCHA, HUMBERTO R.; MOURA, MAGNA S. B.; MORELLATO, LEONOR PATRICIA CERDEIRA. Leafing Patterns and Drivers across Seasonally Dry Tropical Communities. REMOTE SENSING, v. 11, n. 19, OCT 2019. (14/00215-0, 09/54208-6, 15/50682-6, 13/50155-0, 10/52113-5, 16/01413-5)

VARGAS MUNOZ, JAVIER A.; DIAS, ZANONI; TORRES, RICARDO DA SILVA. A genetic programming approach for searching on nearest neighbors graphs. MULTIMEDIA TOOLS AND APPLICATIONS, v. 81, n. 16, p. 24-pg., 2022-03-18. (14/12236-1, 17/20945-0, 13/50155-0, 13/50169-1, 17/12646-3, 15/11937-9, 16/50250-1, 15/24494-8, 17/16246-0, 14/50715-9)

NOGUEIRA, KEILLER; DOS SANTOS, JEFERSSON A.; MENINI, NATHALIA; SILVA, THIAGO S. F.; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 10, p. 1665-1669, OCT 2019. (16/26170-8, 13/50155-0, 09/54208-6, 13/50169-1, 18/06918-3)

DOURADO, ICARO CAVALCANTE; TABBONE, SALVATORE; TORRES, RICARDO DA SILVA; CONTE, D; RAMEL, JY; FOGGIA, P. Event Prediction Based on Unsupervised Graph-Based Rank-Fusion Models. GRAPH-BASED REPRESENTATIONS IN PATTERN RECOGNITION, GBRPR 2019, v. 11510, p. 11-pg., 2019-01-01. (17/20945-0, 14/50715-9, 14/12236-1, 16/50250-1, 13/50155-0, 15/24494-8)

PEREIRA, ERICO M.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A.. A genetic algorithm approach for image representation learning through color quantization. MULTIMEDIA TOOLS AND APPLICATIONS, v. 80, n. 10, p. 15315-15350, APR 2021. (13/50169-1, 16/50250-1, 15/24494-8, 17/20945-0, 13/50155-0, 14/50715-9, 14/12236-1)

ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Phenological visual rhythms: Compact representations for fine-grained plant species identification. PATTERN RECOGNITION LETTERS, v. 81, p. 11-pg., 2016-10-01. (14/00215-0, 09/18438-7, 10/51307-0, 07/52015-0, 13/50155-0, 13/50169-1, 07/59779-6, 10/52113-5)

PEREIRA, LUIS A. M.; TORRES, RICARDO DA SILVA. Semi-supervised transfer subspace for domain adaptation. PATTERN RECOGNITION, v. 75, p. 15-pg., 2018-03-01. (13/50169-1, 15/09169-3, 13/50155-0)

CIRNE, MARCOS; ANDALO, FERNANDA; DIAS, RAFAEL; RESEK, THIAGO; BERTOCCO, GABRIEL; TORRES, RICARDO DA S.; ROCHA, ANDERSON; IEEE. DEEP FACE VERIFICATION FOR SPHERICAL IMAGES. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), v. N/A, p. 5-pg., 2019-01-01. (13/50155-0, 14/12236-1, 17/12646-3, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

NOGUEIRA, KEILLER; DOS SANTOS, JEFERSSON A.; FORNAZARI, TAMIRES; FREIRE SILVA, THIAGO SANNA; MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S.; IEEE. Towards vegetation species discrimination by using data-driven descriptors. 2016 9TH IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE SENSING (PRRS), v. N/A, p. 6-pg., 2016-01-01. (13/50169-1, 13/50155-0)

FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; ROCHA, ANDERSON; TORRES, RICARDO DA S.. Time series-based classifier fusion for fine-grained plant species recognition. PATTERN RECOGNITION LETTERS, v. 81, p. 9-pg., 2016-10-01. (10/05647-4, 10/14910-0, 14/00215-0, 10/51307-0, 11/51523-8, 07/52015-0, 10/52113-5, 07/59779-6, 13/50155-0, 09/18438-7)

FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Fusion of time series representations for plant recognition in phenology studies. PATTERN RECOGNITION LETTERS, v. 83, p. 10-pg., 2016-11-01. (14/00215-0, 10/51307-0, 13/50169-1, 10/52113-5, 13/50155-0, 09/18438-7)

CALUMBY, RODRIGO TRIPODI; GONCALVES, MARCOS ANDRE; TORRES, RICARDO DA SILVA. Diversity-based interactive learning meets multimodality. Neurocomputing, v. 259, p. 17-pg., 2017-10-11. (13/50169-1, 13/50155-0)

GUTIERREZ-CASTILLA, NICOLAS; TORRES, RICARDO DA S.; FALCAO, ALEXANDRE X.; KOZERKE, SEBASTIAN; SCHWITTER, JURG; MASCI, PIER-GIORGIO; MONTOYA-ZEGARRA, JAVIER A.; IEEE. Long-Range Decoder Skip Connections: Exploiting Multi-Context Information for Cardiac Image Segmentation. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2019-01-01. (14/12236-1, 16/50250-1, 17/20945-0, 15/24494-8, 13/50155-0)

PISANI, FLAVIA; PASCOTTI VALEM, LUCAS; GUIMARAES PEDRONETTE, DANIEL CARLOS; DA S. TORRES, RICARDO; BORIN, EDSON; BRETERNITZ, MAURICIO. A unified model for accelerating unsupervised iterative re-ranking algorithms. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 32, n. 14, MAR 2020. (14/50715-9, 13/50169-1, 14/12236-1, 13/08645-0, 13/50155-0, 15/24494-8)

SOARES, NATALIA COSTA; MARUYAMA, PIETRO KIYOSHI; STAGGEMEIER, VANESSA GRAZIELE; CERDEIRA MORELLATO, LEONOR PATRICIA; ARAUJO, MARCIO SILVA. The role of individual variation in flowering and pollination in the reproductive success of a crepuscular buzz-pollinated plant. ANNALS OF BOTANY, v. 127, n. 2, p. 213-222, FEB 1 2021. (14/13899-4, 09/54208-6, 10/51307-0, 13/50155-0, 16/02312-8)

MONTEIRO, BEATRIZ LOPES; GUTIERREZ CAMARGO, MARIA GABRIELA; LOIOLA, PRISCILLA DE PAULA; CARSTENSEN, DANIEL WISBECH; GUSTAFSSON, SIMONE; CERDEIRA MORELLATO, LEONOR PATRICIA. Pollination in the campo rupestre: a test of hypothesis for an ancient tropical mountain vegetation. Biological Journal of the Linnean Society, v. 133, n. 2, p. 512-530, JUN 2021. (10/51307-0, 15/10754-8, 18/21646-0, 13/50155-0, 09/54208-6)

ESMAEL, AGNALDO APARECIDO; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA SILVA. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, n. 19, p. 24565-24592, OCT 2018. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

ESCOBAR, DIEGO F. E.; SILVEIRA, FERNANDO A. O.; MORELLATO, LEONOR PATRICIA C.. Do regeneration traits vary according to vegetation structure? A case study for savannas. JOURNAL OF VEGETATION SCIENCE, v. 32, n. 1, SEP 2020. (14/21430-6, 13/50155-0, 10/51307-0, 17/27100-6)

SILVEIRA, FERNANDO A. O.; BARBOSA, MILTON; BEIROZ, WALLACE; CALLISTO, MARCOS; MACEDO, DIEGO R.; CERDEIRA MORELLATO, LEONOR PATRICIA; NEVES, FREDERICO S.; NUNES, YULE R. F.; SOLAR, RICARDO R.; WILSON FERNANDES, G.. Tropical mountains as natural laboratories to study global changes: A long-term ecological research project in a megadiverse biodiversity hotspot. PERSPECTIVES IN PLANT ECOLOGY EVOLUTION AND SYSTEMATICS, v. 38, p. 64-73, JUN 2019. (09/54208-6, 13/50155-0, 10/51307-0, 10/52113-5)

OLIVEIRA, ALBERTO; OAKLEY, ERIC; TORRES, RICARDO DA SILVA; ROCHA, ANDERSON. Relevance prediction in similarity-search systems using extreme value theory. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 60, p. 236-249, APR 2019. (14/50715-9, 16/50250-1, 17/20945-0, 14/12236-1, 17/12646-3, 13/50155-0, 15/24494-8)

GUTIERREZ DE CAMARGO, MARIA GABRIELA; LUNAU, KLAUS; BATALHA, MARCO ANTONIO; BRINGS, SEBASTIAN; GARCIA DE BRITO, VINICIUS LOURENCO; CERDEIRA MORELLATO, LEONOR PATRICIA. How flower colour signals allure bees and hummingbirds: a community-level test of the bee avoidance hypothesis. NEW PHYTOLOGIST, v. 222, n. 2, p. 1112-1122, APR 2019. (10/51307-0, 17/01663-4, 15/10754-8, 13/50155-0, 09/54208-6)

FERNANDES, G. WILSON; BARBOSA, N. P. U.; ALBERTON, B.; BARBIERI, A.; DIRZO, R.; GOULART, F.; GUERRA, T. J.; MORELLATO, L. P. C.; SOLAR, R. R. C.. The deadly route to collapse and the uncertain fate of Brazilian rupestrian grasslands. BIODIVERSITY AND CONSERVATION, v. 27, n. 10, p. 2587-2603, AUG 2018. (13/50155-0)

MELO DE OLIVEIRA SANTOS, CECILIA LIRA; CAMARGO LAMPARELLI, RUBENS AUGUSTO; DANTAS ARAUJO FIGUEIREDO, GLEYCE KELLY; DUPUY, STEPHANE; BOURY, JULIE; DOS SANTOS LUCIANO, ANA CLAUDIA; TORRES, RICARDO DA SILVA; LE MAIRE, GUERRIC. Classification of Crops, Pastures, and Tree Plantations along the Season with Multi-Sensor Image Time Series in a Subtropical Agricultural Region. REMOTE SENSING, v. 11, n. 3, FEB 1 2019. (15/24494-8, 14/50715-9, 14/12236-1, 13/50155-0)

WANG, JING; SONG, GUANGQIN; LIDDELL, MICHAEL; MORELLATO, PATRICIA; LEE, CALVIN K. F.; YANG, DEDI; ALBERTON, BRUNA; DETTO, MATTEO; MA, XUANLONG; ZHAO, YINGYI; et al. An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites. REMOTE SENSING OF ENVIRONMENT, v. 286, p. 16-pg., 2023-01-06. (14/00215-0, 13/50155-0, 19/16191-6, 16/01413-5, 19/11835-2)

COELHO, MARCEL S.; NEVES, FREDERICO DE SIQUEIRA; PERILLO, LUCAS NEVES; CERDEIRA MORELLATO, LEONOR PATRICIA; WILSON FERNANDES, G.. Forest archipelagos: A natural model of metacommunity under the threat of fire. FLORA, v. 238, p. 6-pg., 2018-01-01. (13/50155-0)

NOGUEIRA, KEILLER; DOS SANTOS, JEFERSSON A.; CANCIAN, LEONARDO; BORGES, BRUNO D.; SILVA, THIAGO S. F.; MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S.; IEEE. SEMANTIC SEGMENTATION OF VEGETATION IMAGES ACQUIRED BY UNMANNED AERIAL VEHICLES USING AN ENSEMBLE OF CONVNETS. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), v. N/A, p. 4-pg., 2017-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 14/50715-9)

SOARES, NATALIA COSTA; CERDEIRA MORELLATO, LEONOR PATRICIA. Crepuscular pollination and reproductive ecology of Trembleya laniflora (Melastomataceae), an endemic species in mountain rupestrian grasslands. FLORA, v. 238, p. 10-pg., 2018-01-01. (13/50155-0, 09/54208-6, 10/51307-0)

DIAS, DANIELLE; DIAS, ULISSES; MENINI, NATHALIA; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO; IEEE. PIXELWISE REMOTE SENSING IMAGE CLASSIFICATION BASED ON RECURRENCE PLOT DEEP FEATURES. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), v. N/A, p. 4-pg., 2019-01-01. (13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

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