Ricardo Dalagnol

According to our database, Ricardo Dalagnol authored at least 30 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Monitoring Cover Crop Biomass in Southern Brazil Using Combined PlanetScope and Sentinel-1 SAR Data.

Fábio Marcelo Breunig, Ricardo Dalagnol, Lênio Soares Galvão, Polyanna da Conceição Bispo, Qing Liu, Elias Fernando Berra, William Gaida, Veraldo Liesenberg, Tony Vinicius Moreira Sampaio

Remote. Sens., August, 2024

Post-Logging Canopy Gap Dynamics and Forest Regeneration Assessed Using Airborne LiDAR Time Series in the Brazilian Amazon with Attribution to Gap Types and Origins.

Philip Winstanley, Ricardo Dalagnol, Sneha Mendiratta, Daniel Braga, Lênio Soares Galvão, Polyanna da Conceição Bispo

Remote. Sens., July, 2024

LUCA: A Sentinel-1 SAR-Based Global Forest Land Use Change Alert.

Adugna G. Mullissa, Sassan Saatchi, Ricardo Dalagnol, Tyler Erickson, Naomi Provost, Fiona Osborn, Aleena Ashary, Violet Moon, Daniel Melling

Remote. Sens., June, 2024

Characterizing Canopy Structure Variability in Amazonian Secondary Successions with Full-Waveform Airborne LiDAR.

Aline D. Jacon, Lênio Soares Galvão, Rorai Pereira Martins-Neto, Pablo Crespo-Peremarch, Luiz E. O. C. Aragão, Jean P. H. B. Ometto, Liana O. Anderson, Laura Barbosa Vedovato, Celso H. L. Silva-Junior, Aline Pontes-Lopes, Vinícius Peripato, Mauro Assis, Francisca Rocha de Souza Pereira, Isadora Haddad, Catherine Torres de Almeida, Henrique Luis Godinho Cassol, Ricardo Dalagnol

Remote. Sens., June, 2024

The Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction.

Fabien Hubert Wagner, Samuel Favrichon, Ricardo Dalagnol, Mayumi C. M. Hirye, Adugna G. Mullissa, Sassan Saatchi

Remote. Sens., March, 2024

Revealing forest structural "fingerprints": An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests.

Nathan Borges Gonçalves, Diogo Martins Rosa, Dalton Freitas do Valle, Marielle N. Smith, Ricardo Dalagnol, Danilo Roberti Alves de Almeida, Bruce W. Nelson, Scott C. Stark

Ecol. Informatics, 2024

2023

Assessing the Magnitude of the Amazonian Forest Blowdowns and Post-Disturbance Recovery Using Landsat-8 and Time Series of PlanetScope Satellite Constellation Data.

Dazhou Ping, Ricardo Dalagnol, Lênio Soares Galvão, Bruce Nelson, Fabien Hubert Wagner, David M. Schultz, Polyanna da Conceição Bispo

Remote. Sens., June, 2023

Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep Learning.

Carine Klauberg, Jason G. Vogel, Ricardo Dalagnol, Matheus Pinheiro Ferreira, Caio Hamamura, Eben Broadbent, Carlos Alberto Silva

Remote. Sens., February, 2023

Mapping Tropical Forest Cover and Deforestation with Planet NICFI Satellite Images and Deep Learning in Mato Grosso State (Brazil) from 2015 to 2021.

Fabien Hubert Wagner, Ricardo Dalagnol, Celso Henrique Leite Silva Junior, Griffin Carter, Alison L. Ritz, Mayumi C. M. Hirye, Jean P. H. B. Ometto, Sassan Saatchi

Remote. Sens., January, 2023

Changes in Carbon Dioxide Balance Associated with Land Use and Land Cover in Brazilian Legal Amazon Based on Remotely Sensed Imagery.

Patrícia Monique Crivelari-Costa, Mendelson Lima, Newton La Scala Jr., Fernando Saragosa Rossi, João Lucas Della-Silva, Ricardo Dalagnol, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Gabriel de Oliveira, José Francisco de Oliveira-Júnior, Carlos Antonio da Silva Junior

Remote. Sens., 2023

Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model.

Fabien Hubert Wagner, Sophia Roberts, Alison L. Ritz, Griffin Carter, Ricardo Dalagnol, Samuel Favrichon, Mayumi C. M. Hirye, Martin Brandt, Philippe Ciais, Sassan Saatchi

CoRR, 2023

A Tool for Prioritizing Deforestation Hotspots in the Brazilian Amazon.

Alber H. Sánchez, Guilherme A. V. Mataveli, Gabriel de Oliveira, Michel E. D. Chaves, Ricardo Dalagnol, Fabien Hubert Wagner, Celso H. L. Silva-Junior, Luiz E. O. C. Aragão

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Performance de Um Modelo Preditivo Para Simulação do Desmatamento em Boca do Acre - Brasil.

Débora Joana Dutra, Igor Ferreira, Beatriz F. Cabral, Aurora Miho Yanai, Philip Martin Fearnside, Paulo Maurício de Lima Alencastro Graça, Ricardo Dalagnol, Daniel Braga, Luiz E. O. C. Aragão, Cláudia Maria de Almeida, Liana O. Anderson

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Quantifying Selective Logging Intensity Through Airborne LiDAR Data In An Amazon Rainforest: Study Case At Jamari National Forest.

Daniel Braga, Luiz E. O. C. Aragão, Liana O. Anderson, Débora Joana Dutra, Beatriz F. Cabral, Ricardo Dalagnol

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

2022

Quantifying Post-Fire Changes in the Aboveground Biomass of an Amazonian Forest Based on Field and Remote Sensing Data.

Aline Pontes-Lopes, Ricardo Dalagnol, Andeise Cerqueira Dutra, Camila Valéria de Jesus Silva, Paulo Maurício Lima de Alencastro Graça, Luiz Eduardo Oliveira e Cruz de Aragão

Remote. Sens., 2022

K-textures, a self supervised hard clustering deep learning algorithm for satellite image segmentation.

Fabien Hubert Wagner, Ricardo Dalagnol, Alber H. Sánchez, Mayumi C. M. Hirye, Samuel Favrichon, Jake H. Lee, Steffen Mauceri, Yan Yang, Sassan Saatchi

CoRR, 2022

Comparison of regional scale burned area products for southwestern Brazilian Amazonia.

Débora Joana Dutra, Liana Oighenstein Anderson, Philip Martin Fearnside, Aurora Miho Yanai, Paulo Maurício de Lima Alencastro Graça, Ricardo Dalagnol, Ana Carolina Moreira Pessôa, Luiz Eduardo Oliveira e Cruz de Aragão

Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

Mapeamento de corte seletivo na Amazônia Brasileira usando imagens Planet de alta resolução espacial e inteligência artificial: estudo de caso na Floresta Nacional do Jamari.

Daniel Braga, Ricardo Dalagnol, Celso B. M. Ribeiro, Liana O. Anderson, Luiz E. O. C. Aragão

Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

2021

Forest Canopy Changes in the Southern Amazon during the 2019 Fire Season Based on Passive Microwave and Optical Satellite Observations.

Huixian Zhang, Daniel Fiifi Tawia Hagan, Ricardo Dalagnol, Yi Liu

Remote. Sens., 2021

Change Detection of Selective Logging in the Brazilian Amazon Using X-Band SAR Data and Pre-Trained Convolutional Neural Networks.

Tahisa Neitzel Kuck, Paulo Fernando Ferreira Silva Filho, Edson Eyji Sano, Polyanna da Conceição Bispo, Elcio Hideiti Shiguemori, Ricardo Dalagnol

Remote. Sens., 2021

Análise da concordância entre dados de degradação florestal DETER e JRC-TMF no município de São Félix do Xingu - PA.

Aline D. Jacon, Maria Isabel Sobral Escada, Ricardo Dalagnol, Lênio S. Galvão

Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021

Mapping irrigated rice using MSI/Sentinel-2 time series of vegetation indices and Random Forest.

Juliana A. Araújo, Allan H. L. Freire, Ricardo Dalagnol, Lênio S. Galvão

Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021

2020

U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images - Case Study in the Joanópolis City, Brazil.

Fabien Hubert Wagner, Ricardo Dalagnol, Yuliya Tarabalka, Tassiana Y. F. Segantine, Rogério Thomé, Mayumi C. M. Hirye

Remote. Sens., 2020

Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images.

Fabien Hubert Wagner, Ricardo Dalagnol, Ximena Tagle Casapia, Annia S. Streher, Oliver L. Phillips, Emanuel Gloor, Luiz E. O. C. Aragão

Remote. Sens., 2020

Carbon Dynamics in a Human-Modified Tropical Forest: A Case Study Using Multi-Temporal LiDAR Data.

Yhasmin Mendes de Moura, Heiko Balzter, Lênio Soares Galvão, Ricardo Dalagnol, Fernando Del Bon Espírito-Santo, Erone G. Santos, Mariano García, Polyanna da Conceição Bispo, Raimundo Cosme de Oliveira Junior, Yosio Shimabukuro

Remote. Sens., 2020

Tree Crown Delineation Algorithm Based on a Convolutional Neural Network.

José R. G. Braga, Vinícius Peripato, Ricardo Dalagnol, Matheus Pinheiro Ferreira, Yuliya Tarabalka, Luiz E. O. C. Aragão, Haroldo F. de Campos Velho, Elcio H. Shiguemori, Fabien Hubert Wagner

Remote. Sens., 2020

Adjustments to SIF Aid the Interpretation of Drought Responses at the Caatinga of Northeast Brazil.

Edgard Bontempo, Ricardo Dalagnol, Flavio Ponzoni, Dalton Valeriano

Remote. Sens., 2020

Delineation of management zones in agricultural fields using cover-crop biomass estimates from PlanetScope data.

Fábio Marcelo Breunig, Lênio Soares Galvão, Ricardo Dalagnol, Carlos Eduardo Dauve, Adriane Parraga, Antônio Luiz Santi, Diandra Pinto Della Flora, Shuisen Chen

Int. J. Appl. Earth Obs. Geoinformation, 2020

2019

Phenology and Seasonal Ecosystem Productivity in an Amazonian Floodplain Forest.

Letícia D. M. Fonseca, Ricardo Dalagnol, Yadvinder Malhi, Sami W. Rifai, Gabriel Brito Costa, Thiago S. F. Silva, Humberto Ribeiro da Rocha, Iane B. Tavares, Laura S. Borma

Remote. Sens., 2019

Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR.

Ricardo Dalagnol, Oliver L. Phillips, Emanuel Gloor, Lênio Soares Galvão, Fabien Hubert Wagner, Charton J. Locks, Luiz E. O. C. Aragão

Remote. Sens., 2019