Publicações

2026

1. For. syst.

   Ratio estimators and simultaneous regression estimators for biomass in mixed plantation of Pinus elliottii Engelm. and Pinus taeda L.

   Ornélio P. E. Nhaduco, Alexandre Behling, Sylvio Péllico-Netto, and 4 more authors

   Forest Systems, Jan 2026

   DOI
2. IEEE Geosci. Remote Sens

   Beyond Ice: NASA’s ICESat-2 spaceborne lidar mission for land and vegetation applications

   Carlos Alberto Silva, Amy Neuenschwander, Caio Hamamura, and 22 more authors

   IEEE Geoscience and Remote Sensing Magazine, Jun 2026

   DOI
3. BIOFIX SCIENTIFIC JOURNA

   DISCRIMINAÇÃO E CLASSIFICAÇÃO DE Pinus sp. EM REGENERAÇÃO NATURAL COM IMAGENS MULTIESPECTRAIS DE UAS

   BIOFIX SCIENTIFIC JOURNAL (ONLINE), Jun 2026
4. Forests

   Quantitative Structure Modeling of Excavated Stump-Root Systems from Terrestrial Laser Scanning Point Clouds: Formulation and Destructive Validation in Pinus taeda

   Ana Paula Dalla Corte, Natiele Caumo Mezacasa, Mateus dos Santos Neves, and 18 more authors

   Forests, Sep 2026

   DOI

2025

1. Sensors

   Spatial Characterization of Woody Species Diversity in Tropical Savannas Using GEDI and Optical Data

   Franciel Eduardo Rex, Carlos Alberto Silva, Eben North Broadbent, and 15 more authors

   Sensors, Jan 2025

   DOI
2. Cad. Pedagógico

   Effect of dioecy on the etructure of a population of Araucaria angustifolia (Bert.) O. Kuntze

   Maurício Oliveira Janzen, Sylvio Péllico Netto, Alexandre Behling, and 3 more authors

   Caderno Pedagógico, Jan 2025

   DOI
3. Remote Sensing

   Automated Detection of Araucaria angustifolia (Bertol.) Kuntze in Urban Areas Using Google Earth Images and YOLOv7x

   Mauro Karasinski, Ramon Leite, Emmanoella Guaraná, and 6 more authors

   Remote Sensing, Feb 2025

   DOI
4. NZJFS

   Uniformity measures for young Eucalyptus sp. plantations using attributes extracted from UAV flights

   Adriane Avelhaneda Mallmann, Ana Paula Dalla Corte, Alexandre Behling, and 7 more authors

   New Zealand Journal of Forestry Science, May 2025

   DOI
5. Remote Sensing

   Upscaling Frameworks Drive Prediction Accuracy and Uncertainty When Mapping Aboveground Biomass Density from the Synergism of Spaceborne LiDAR, SAR, and Passive Optical Data

   Inacio T. Bueno, Carlos A. Silva, Monique B. Schlickmann, and 12 more authors

   Remote Sensing, Jul 2025

   DOI
6. Sci Rep

   Combined impact of semantic segmentation and quantitative structure modelling of Southern pine trees using terrestrial laser scanning

   Jinyi Xia, Timothy A. Martin, Gary F. Peter, and 12 more authors

   Scientific Reports, Jul 2025

   DOI
7. Remote Sensing

   Comparing Terrestrial and Mobile Laser Scanning Approaches for Multi-Layer Fuel Load Prediction in the Western United States

   Eugênia Kelly Luciano Batista, Andrew T. Hudak, Jeff W. Atkins, and 21 more authors

   Remote Sensing, Aug 2025

   DOI
8. Wood Material Science &

   Density, chemistry and energy potential of wood waste from five least explored Amazonian species: contribution to a circular bioeconomy

   Washington Duarte Silva Da Silva, Joielan Xipaia dos Santos, Silvana Nisgoski, and 6 more authors

   Wood Material Science & Engineering, Sep 2025

   DOI
9. International Journal of

   Biomass and Carbon of Eucalyptus spp. Genotypes Estimated With UAV‐LIDAR Using Area‐Based Approach and Machine Learning

   Carla Talita Pertille, Alexandre Behling, Carlos Roberto Sanquetta, and 6 more authors

   International Journal of Forestry Research, Jan 2025

   DOI
10. Forests

    Optimizing UAV-LiDAR Point Density for Eucalyptus Height Estimation in Agroforestry

    Ernandes Macedo da Cunha Neto, Emmanoella Guaraná, Marks Melo Moura, and 8 more authors

    Forests, Nov 2025

    DOI
11. Pesq. flor. bras.

    Crescimento de Astronium fraxinifolium, Hymenaea stigonocarpa e Simarouba versicolor na região do Pantanal

    Luciellen Pereira Martins, Andréia Taborda dos Santos, Patrícia Póvoa de Mattos, and 3 more authors

    Pesquisa Florestal Brasileira, Nov 2025

    DOI
12. New Forests

    Predicting the below-ground biomass of trees in young mixed-species stands in Brazilian Amazon

    Carlos Roberto Sanquetta, Iara Magalhães Barberena, Mateus Niroh Inoue Sanquetta, and 5 more authors

    New Forests, Sep 2025

    DOI
13. Ecol Indic

    Aboveground biomass and carbon stocks in subtropical forests

    Hiago Adamosky Machado, Adriane Avelhaneda Mallmann, Kauana Engel, and 8 more authors

    Ecological Indicators, Mar 2025

    Abs DOI

    Quantifying plant biomass in native forests is essential to understanding ecosystem health, primary productivity, biodiversity, and the carbon cycle, contributing to climate regulation. Therefore, the objective of this study was to establish biomass estimators and quantify biomass and carbon stocks in subtropical forests in Brazil. The study area can be considered one of the largest preserved areas of the Atlantic Forest biome, covering approximately 6,000 km2. Two procedures were used to quantify biomass and carbon: i) for trees with less than 50 cm of dbh, equations were established using allometric data collected; ii) for trees with more than 50 cm of dbh, the equations established by Trautenmüller et al. (2021) were used. These equations were biologically consistent and were corrected for heteroscedasticity, using the WNSUR procedure. These equations were later used to estimate the biomass of everyone in an inventory of subtropical forests in the state of Paraná, Brazil. A total of 456,302.00 ha of area with vegetation cover were found, with an average biomass stock of 117.26 Mg.ha−1. The total biomass stock for the entire area was 53,505.97 Gg, and the carbon equivalent was 92,208.63 Gg, highlighting the need to preserve this area with vegetation cover. One of the most immediate actions to mitigate the effects of climate change is to reduce deforestation, which can be the result of human activities or caused by mass movement. New studies should be carried out to assess the effects of climate extremes on carbon stocks and how these can affect the lives involved.

14. Forest Systems

    Carbon stock in the biomass of native urban fragments: A case study in an Atlantic Forest remnant in Brazil

    Carla T. Pertille, Ernandes Da Cunha-Neto, Carlos R. Sanquetta, and 2 more authors

    Forest Systems, Apr 2025

    Abs DOI

    Aim of study: In the face of global concern about climate change, urban forests have great potential in the scenario of mitigating climate change and reducing emissions by carbon dioxide. Thus, the objective of this work was to evaluate the potential for carbon and carbon dioxide (CO2) removal of a forest fragment. Area of study: A native urban Atlantic Forest fragment located in Curitiba, State of Paraná, Brazil. Material and methods: To do so, dendrometric data measured in the years 2006, 2009, 2012, 2015, 2018 and 2021 were used, totalling 77,016 individuals. From these data, the height, shoot and underground biomass were estimated based on allometric equations available in the literature. The growth dynamics and carbon stock were quantified by the difference in carbon stock at the beginning (2006) and at the end of the assessment (2021) in general, by genus and by diameter class. Main results: The results showed that around 156.56 t.ha-1 of biomass were accumulated in 15 years,resulting in 64.23 t.ha-1 of carbon, 235.51 t.ha-1 of carbon dioxide equivalent (CO2eq) and annual removal of4.06 t.ha-1.year-1. The genus Araucaria was predominant throughout the period in relation to the generafound, followed by Ocotea, Luehea and Casearia, while Gymmanthes, Clethra and Citronella were laterincluded in the evaluations. Araucaria individuals with a diameter class of 60 and 70 cm were responsiblefor the largest amount of carbon stored. The carbon stock concentration for the other genera was higher fordiameter classes smaller than 40 cm. Research highlights: Given the numbers found of annual carbon removal and biomass accumulation, it can be concluded that this native urban fragment positively contributed to the absorption and fixation of atmospheric carbon in forest biomass.

2024

1. Challenges in natural re

   DIAGNOSIS OF THE MAIN FOREST HUBS IN PARANÁ TO MITIGATE CLIMATE CHANGE

   Darcy Maria da Conceição Laura dos Santos, Carlos Roberto Sanquetta, Ana Paula Dalla Corte, and 3 more authors

   Challenges in natural resource management, Apr 2024

   DOI
2. Remote Sensing

   Incorporating Forest Mapping-Related Uncertainty into the Error Propagation of Wall-to-Wall Biomass Maps: A General Approach for Large and Small Areas

   Hassan C. David, Alexander C. Vibrans, Rorai P. Martins-Neto, and 2 more authors

   Remote Sensing, Nov 2024

   DOI
3. CERNE

   Effects of flight and smoothing parameters of number of trees with aerial imagery in a native Brazilian atlantic forest remnant

   Carla Talita Pertille, Karla Mayara Almada Gomes, Darcy Maria da Conceição Laura dos Santos, and 5 more authors

   CERNE, Sep 2024

   Publisher: UFLA - Universidade Federal de Lavras

   Abs DOI

   Background:  The objective of this study was to detect native trees from different flight configurations and smoothing techniques in Canopy Height Models (CHMs) in a native remnant in the municipality of Curitiba, State of Paraná, Brazil. To do so, eight flights were carried out with a Phantom 4, with two flight planning applications (Litchi and Pix4Dcapture) and two flight arrangements (single and double), totaling four flights for each application. All flights were processed using the Pix4Dmapper program. The LiDAR database was obtained with a DJI Matrice 300 system and from this data, the Digital Terrain Model (DTM) of the area was extracted. From the UAV data, the Digital Surface Model (DSM) of each flight was obtained. Subtracting each DSM from the DTM resulted in the CHMs for each UAV flight flown. The CHMs were smoothed with the CHMsmoothing function and three search window sizes were tested (6.5 x 6.5, 8 x 8, and 10 x 10). Results:  The results of the ITD approach revealed that in unsmoothed and smoothed CHMs, the search window of size 8 resulted in the best precision metrics, with the highest recall, precision, and F-score values. In the smallest window size, there was the highest number of false positives while in the largest window size, the omitted trees were more representative. Conclusion:  The best combination between flight parameters and smoothing techniques was with the Litchi application, with a single flight and 80% lateral and longitudinal overlap, resulting in individuals detected with an F-score of 0.94. Keywords:Remote sensing; LM algorithm; canopy height model.

2023

1. Journal of Environmental

   Global review and state-of-the-art of biomass and carbon stock in the Amazon

   Emmanoella Costa Guaraná Araujo, Carlos Roberto Sanquetta, Ana Paula Dalla Corte, and 3 more authors

   Journal of Environmental Management, Apr 2023

   DOI
2. Remote Sensing

   Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics

   Ewane Basil Ewane, Midhun Mohan, Shaurya Bajaj, and 19 more authors

   Remote Sensing, May 2023

   DOI
3. Ecological Indicators

   Ratio estimators for aboveground biomass and its parts in subtropical forests of Brazil

   Jonathan William Trautenmüller, Sylvio Péllico Netto, Rafaelo Balbinot, and 7 more authors

   Ecological Indicators, Oct 2023

   DOI
4. Urban Forestry & Urban G

   A methodological framework to create an urban greenway network promoting avian connectivity: A case study of Curitiba City

   Iran J.C. Lopes, Daniela Biondi, Ana P.D. Corte, and 2 more authors

   Urban Forestry & Urban Greening, Sep 2023

   DOI
5. Heliyon

   Influence of urban forests on residential property values: A systematic review of remote sensing-based studies

   Ewane Basil Ewane, Shaurya Bajaj, Luisa Velasquez-Camacho, and 14 more authors

   Heliyon, Oct 2023

   DOI
6. RGSA

   A Categorical Modelling Approach to Site and Growth of Eucalyptus Stands in Brazilian Eastern Amazon

   Ernandes Macedo Da Cunha Neto, Emmanoella Costa Guaraná Araujo, Hudson Franklin Pessoa Veras, and 4 more authors

   Revista de Gestão Social e Ambiental, Sep 2023

   DOI
7. ADV. FOR. SCI.

   Correlations between dendrometric and allometric variables of Eucalyptus benthamii under agroforestry systems in the subtropic of Brazil

   Jonathan William Trautenmüller, Silvano Kruchelski, Rafaelo Balbinot, and 4 more authors

   Advances in Forestry Science, Oct 2023

   DOI
8. Sci. Electronic Arch

   Estimating tree volume based on crown mapping by UAV pictures in the Amazon Forest

   Hudson Franklin Pessoa Veras, Ernandes Macedo da Cunha Neto, Iací Dandara Santos Brasil, and 8 more authors

   Scientific Electronic Archives, Jul 2023

   DOI

2022

1. Remote Sensing of Enviro

   Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data

   Rodrigo Vieira Leite, Carlos Alberto Silva, Eben North Broadbent, and 32 more authors

   Remote Sensing of Environment, Jan 2022

   DOI
2. AGRO@MBIENTE ON-LINE

   Carbon stock assessment and comparison in soybean plantations in Southwest Brazilian Amazon

   Emmanoella Costa Guaraná Araujo, Allan Libanio Pelissari, Ana Paula Dalla Corte, and 1 more author

   REVISTA AGRO@MBIENTE ON-LINE, Jan 2022

   DOI
3. Drones

   High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD)

   Ana Corte, Ernandes Cunha Neto, Franciel Rex, and 15 more authors

   Drones, Feb 2022

   DOI
4. AgricultForest

   DYNAMICS OF BIOMASS STOCKS IN AREAS OF SECONDARY FOREST LOCATED IN WESTERN AMAZON BETWEEN 2016 AND 2020

   Marks MOURA, Mateus SANQUETTA, Carlos SANQUETTA, and 2 more authors

   The Journal "Agriculture and Forestry", Mar 2022

   DOI
5. An. Acad. Bras. Ciênc.

   Assessing the carbon stock of cultivated pastures in Rondônia, southwestern Brazilian Amazon

   CARLOS R. SANQUETTA, ALEXIS DE S. BASTOS, MATEUS N.I. SANQUETTA, and 4 more authors

   Anais da Academia Brasileira de Ciências, Mar 2022

   DOI
6. RFMK

   Geostatistical modeling and remotely sensed data to improve dendrometric variables prediction in Tectona grandis L. f. stand

   Iasmin Fernanda Portela Pfutz, Allan Libanio Pelissari, Ana Paula Dalla Corte, and 3 more authors

   Revista Forestal Mesoamericana Kurú, Jul 2022

   DOI
7. DOCUMENTOS 220

   Câmeras modificadas e multiespectrais embarcadas em drones: enfoque para estudos da vegetação

   DOCUMENTOS 220, Jul 2022
8. Ecological Modelling

   The tropical biomass & carbon project–An application for forest biomass and carbon estimates

   Hassan C. David, Reinaldo I. Barbosa, Alexander C. Vibrans, and 10 more authors

   Ecological Modelling, Oct 2022

   DOI
9. Forest Science

   Contributions of Forest Regeneration After Intense Fragmentation in the Amazon through Morphological Spatial Pattern Analysis

   Iací Dandara Santos Brasil, Ana Paula Dalla Corte, Marks Melo Moura, and 4 more authors

   Forest Science, Dec 2022

   DOI
10. Desenvolv. Meio Ambiente

    Methane emissions and carbon storage from household paper disposal in Brazil during 1901-2016

    Carlos Roberto Sanquetta, Ana Paula Dalla Corte, Mateus Niroh Inoue Sanquetta, and 2 more authors

    Desenvolvimento e Meio Ambiente, Sep 2022

    DOI
11. G. Sci.

    Assessing the success of forest restoration based on landscape analysis

    Allan Reis, Daniela Biondi, Ana Paula Dalla Corte, and 5 more authors

    Gaia Scientia, Sep 2022

    DOI
12. Ecological Informatics

    Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests

    Hudson Franklin Pessoa Veras, Matheus Pinheiro Ferreira, Ernandes Macedo Cunha Neto, and 3 more authors

    Ecological Informatics, Nov 2022

    DOI
13. Sci. For.

    Sampling method with proportional probability to variable areas in stands of Eucalyptus dunnii Maiden in Brazil

    Ataídes Marinheski Filho, Sylvio Péllico Netto, Sebastião do Amaral Machado, and 2 more authors

    Scientia Forestalis, Jul 2022

    DOI
14. Land

    Applying High-Resolution UAV-LiDAR and Quantitative Structure Modelling for Estimating Tree Attributes in a Crop-Livestock-Forest System

    Ana Paula Dalla Corte, Bruna Nascimento Vasconcellos, Franciel Eduardo Rex, and 15 more authors

    Land, Apr 2022

    Number: 4 Publisher: Multidisciplinary Digital Publishing Institute

    Abs DOI

    Individual tree attributes, such as stem volume and biomass, are usually predicted by using traditional field-derived allometric models. However, these models are derived from data collected from small areas and lack a level of detail of tree components (e.g., stem, branches, and leaves). Remote sensing techniques such as the Quantitative Structure Modelling (QSM) applied on high-density LiDAR data emerge as a promising solution for obtaining extensive and detailed tree attribute estimates. We used a high-density LiDAR data on board of a Unmanned Aerial Vehicle (UAV) to evaluate the performance of the QSM approach in estimating field-derived individual tree attributes such as the diameter at breast height (dbh), tree height (ht), and volume (v), as well as the stem (SAGB), branch (BAGB), and total (TAGB) aboveground biomass of eucalyptus trees. QSM was used in two different approaches: (i) using dbh and h derived from QSM and then applied into the field-based equations for estimation of volume and (ii) deriving tree volume directly from QSM. In general, all fitted models using the QSM approach were satisfactory, but with a slight tendency of over-estimation of dbh (9.33%), ht (12.40%), v-QSM1 (26.35%), v-QSM2 (26.66%), TAGB (27.08%), SAGB (25.57%), and BAGB (20.08%). Non-significant differences were noticed when estimating the dbh, tree volume, stem, and aboveground biomass. Despite the overestimation, this study indicates that using the QSM approach to estimate individual tree attributes from UAV-LiDAR is a promising alternative to support the decision-making process regarding forest management activities, especially when considering tree architecture and biomass components.

2021

1. Floresta Ambient.

   Diameter Structure, Spatial Pattern, and Management Scenarios of Acapu Trees: A Case Study

   Deivison Venicio Souza, Linamara Smaniotto Ferrari, Vinícius Morais Coutinho, and 4 more authors

   Floresta e Ambiente, Apr 2021

   DOI
2. RF

   HOW TO ESTIMATE BLACK WATTLE ABOVEGROUND BIOMASS FROM HETEROSCEDASTIC DATA?

   Thiago Wendling Oliveira, Vinícius Morais Coutinho, Luan Demarco Fiorentin, and 3 more authors

   FLORESTA, Dec 2021

   DOI
3. BIOFIX

   APRENDIZADO DE MÁQUINA E REGRESSÃO LINEAR NA ESTIMATIVA DO VOLUME DE Eucalyptus NA AMAZÔNIA ORIENTAL

   Ernandes Macedo da Cunha Neto, Marks Melo Moura, Emmanoella Costa Guaraná Araujo, and 3 more authors

   BIOFIX Scientific Journal, Jan 2021

   DOI
4. Ciênc. Florest.

   Distribuição diamétrica de três espécies de Lecythidaceae após exploração de impacto reduzido na Amazônia Oriental

   Loarena Leal Cruz, Nelson Yoshihiro Nakajima, Renildo Medeiros da Silva, and 3 more authors

   Ciência Florestal, Mar 2021

   DOI
5. RF

   TERRESTRIAL LASER SCANNER FOR METRIC EXTRACTION IN EUCALYPTUS UNDER DIFFERENT IMPLANTATION SYSTEMS

   Marieli Sabrina Ruza, Ana Paula Dalla Corte, Alessandro Camargo Angelo, and 2 more authors

   FLORESTA, Mar 2021

   DOI
6. J. Biotechnol. Biodivers

   Cambio de uso de la tierra en la amazonía peruana mediante algoritmos de inteligencia artificial

   Ethel Celis, Zoila Aurora Cruz Burga, Nelson Carlos Rosot, and 2 more authors

   Journal of Biotechnology and Biodiversity, Mar 2021

   DOI
7. Sci. For.

   Sistema de equações de biomassa de Pinus spp. no sul do Paraná

   Ornélio Paulino Estevão Nhaduco, Ana Paula Dalla Corte, Alexandre Behling, and 1 more author

   Scientia Forestalis, Mar 2021

   DOI
8. Forest Ecology and Manag

   Beyond trees: Mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data

   Máira Beatriz Teixeira Costa, Carlos Alberto Silva, Eben North Broadbent, and 27 more authors

   Forest Ecology and Management, Jul 2021

   DOI
9. Forest Ecology and Manag

   Global review on forest road optimization planning: Support for sustainable forest management in Amazonia

   Verônica Satomi Kazama, Ana Paula Dalla Corte, Renato Cesar Gonçalves Robert, and 4 more authors

   Forest Ecology and Management, Jul 2021

   DOI
10. Ciênc. Florest.

    Amazon plinthosols: carbon stocks and physical properties under different land uses

    Alexis de Sousa Bastos, Carlos Sanquetta, Vanderlei Maniesi, and 2 more authors

    Ciência Florestal, Jun 2021

    DOI
11. Urban Forestry & Urban G

    Using high-density UAV-Lidar for deriving tree height of Araucaria Angustifolia in an Urban Atlantic Rain Forest

    Ernandes Macedo Cunha Neto, Franciel Eduardo Rex, Hudson Franklin Pessoa Veras, and 7 more authors

    Urban Forestry & Urban Greening, Aug 2021

    DOI
12. Computers and Electronic

    Does using soil chemical variables in cokriging improve the spatial modelling of the commercial wood volume of Brazilian mahogany in an Amazonian agroforestry system?

    Cícero Jorge Fonseca Dolácio, Verônica Satomi Kazama, Rafael Schmitz, and 3 more authors

    Computers and Electronics in Agriculture, Jan 2021

    DOI
13. JTFS

    GEOSTATISTICAL MODELLING OF BELOW- AND ABOVEGROUND CARBON STOCKS OF TEAK STANDS AT DIFFERENT AGES

    IFP Pfutz, AL Pelissari, CK Rodrigues, and 2 more authors

    JOURNAL OF TROPICAL FOREST SCIENCE, May 2021

    DOI
14. Remote Sensing

    UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications

    Midhun Mohan, Gabriella Richardson, Gopika Gopan, and 14 more authors

    Remote Sensing, Jul 2021

    DOI
15. Remote Sensing

    Towards Amazon Forest Restoration: Automatic Detection of Species from UAV Imagery

    Marks Melo Moura, Luiz Eduardo Soares Oliveira, Carlos Roberto Sanquetta, and 3 more authors

    Remote Sensing, Jul 2021

    DOI
16. Acta Sci. Agron.

    Simultaneous estimation as an alternative to young eucalyptus aboveground biomass modeling in ecophysiological experiments

    Thiago Wendling Gonçalves de Oliveira, Rafael Rubilar, Carlos Roberto Sanquetta, and 2 more authors

    Acta Scientiarum. Agronomy, Jul 2021

    DOI
17. Ecological Indicators

    Regression estimators for aboveground biomass and its constituent parts of trees in native southern Brazilian forests

    Jonathan William Trautenmüller, Sylvio Péllico Netto, Rafaelo Balbinot, and 4 more authors

    Ecological Indicators, Nov 2021

    DOI
18. Remote Sensing of Enviro

    Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion

    Danilo Roberti Alves de Almeida, Eben North Broadbent, Matheus Pinheiro Ferreira, and 18 more authors

    Remote Sensing of Environment, Oct 2021

    DOI
19. Southern Forests: a Jour

    Carbon production from seasonal litterfall in the Brazilian Atlantic Forest

    Greyce CB Maas, Carlos R Sanquetta, Renato Marques, and 4 more authors

    Southern Forests: a Journal of Forest Science, Apr 2021

    DOI
20. Open Geosciences

    Individual tree detection using UAV-lidar and UAV-SfM data: A tutorial for beginners

    Midhun Mohan, Rodrigo Vieira Leite, Eben North Broadbent, and 15 more authors

    Open Geosciences, Sep 2021

    DOI
21. RF

    SPATIAL STATISTICS ON AMAZON RAINFOREST ASSESSMENT: SPATIALLY STRATIFIED INVENTORY PROCESSING

    Felipe Kauai, Ana Paula Dalla Corte, Allan Libanio Pelissari, and 1 more author

    FLORESTA, Sep 2021

    DOI
22. Forests

    Predicting Stand Volume by Number of Trees Automatically Detected in UAV Images: An Alternative Method for Forest Inventory

    Lorena Stolle, Ana Paula Dalla Corte, Carlos Roberto Sanquetta, and 3 more authors

    Forests, Oct 2021

    DOI
23. New Forests

    Differences in early seasonal growth efficiency and productivity of eucalyptus genotypes

    Thiago Wendling Gonçalves Oliveira, Rafael Rubilar, Carlos Roberto Sanquetta, and 7 more authors

    New Forests, Sep 2021

    DOI
24. Rev. Sci. Agr. Paranaens

    Geostatistics as a tool to reduce the sampling effort in forest inventories

    Myrcia Minatti, Carlos Roberto Sanquetta, Sylvio Péllico Neto, and 2 more authors

    Scientia Agraria Paranaensis, Jun 2021

    DOI
25. Land

    Detectability of the Critically Endangered Araucaria angustifolia Tree Using Worldview-2 Images, Google Earth Engine and UAV-LiDAR

    Felipe Saad, Sumalika Biswas, Qiongyu Huang, and 5 more authors

    Land, Nov 2021

    DOI
26. Sci. For.

    Relationship between spectral variables with RapidEye images and dendrometric variables in teak plantations using principal component analysis

    Lucas Henderson de Oliveira Santos, João Paulo Sardo Madi, Lila Mabel Gamarra Ruiz Díaz, and 7 more authors

    Scientia Forestalis, Dec 2021

    DOI
27. Rev. Agro. Amb.

    Estoques de biomassa e carbono na Amazônia brasileira: uma nova abordagem

    Luani Rosa de Oliveira Piva, Carlos Roberto Sanquetta, Jaime Wojciechowski, and 1 more author

    Revista em Agronegócio e Meio Ambiente, Dec 2021

    DOI

2020

1. BIOFIX

   PRODUÇÃO, IMPORTAÇÃO, EXPORTAÇÃO E CONSUMO APARENTE DE PAINÉIS DE MADEIRA NO BRASIL ENTRE 1961 E 2016

   Carlos Roberto Sanquetta, Gabriel Mendes Santana, Mateus Niroh Inoue Sanquetta, and 2 more authors

   BIOFIX Scientific Journal, Aug 2020

   DOI
2. BIOFIX

   ESTOQUE DE BIOMASSA E CARBONO EM PASTAGENS CULTIVADAS NO NORTE DE RONDÔNIA

   Carlos Roberto Sanquetta, Alexis De Sousa Bastos, Mateus Niroh Inoue Sanquetta, and 3 more authors

   BIOFIX Scientific Journal, Oct 2020

   DOI
3. RF

   CARBON STOCK AND REMOVAL OF CO2 IN YOUNG STANDS OF FOREST RESTORING IN RONDÔNIA

   Alexandre Queiroz, Mateus Niroh Inoue Sanquetta, Alexis Bastos, and 2 more authors

   FLORESTA, Dec 2020

   DOI
4. RF

   ADDITIVITY OF VOLUME COMPONENTS OF TREE BOLES

   Alexandre Behling, Hassan Camil David, Clarice Garcia Borges Demétrio, and 3 more authors

   FLORESTA, Dec 2020

   DOI
5. Remote Sensing

   Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System

   Ana Paula Dalla Corte, Franciel Eduardo Rex, Danilo Roberti Alves de Almeida, and 12 more authors

   Remote Sensing, Mar 2020

   DOI
6. Anuário do Instituto de

   Dinâmica da Biomassa Acima do Solo na Amazônia Brasileira Usando Dados LiDAR

   Anuário do Instituto de Geociências - UFRJ, Mar 2020
7. Desenvolv. Meio Ambiente

   Greenhouse gas emissions due to land use change in Brazil from 1990 to 2015: comparison of methodological approaches

   Carlos Sanquetta, Ana Paula Dalla Corte, Mateus Sanquetta, and 2 more authors

   Desenvolvimento e Meio Ambiente, Apr 2020

   DOI
8. Remote Sensing

   Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data

   Vanessa Sousa da Silva, Carlos Alberto Silva, Midhun Mohan, and 10 more authors

   Remote Sensing, May 2020

   DOI
9. Remote Sensing

   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

   Franciel Eduardo Rex, Carlos Alberto Silva, Ana Paula Dalla Corte, and 11 more authors

   Remote Sensing, May 2020

   DOI
10. FLORESTA (ONLINE) (CURIT

    EVOLUÇÃO DO CAMPO DE ESTATÍSTICA NO CURSO DE GRADUAÇÃO E PÓS-GRADUAÇÃO EM ENGENHARIA FLORESTAL E PERSPECTIVAS FUTURAS

    FLORESTA (ONLINE) (CURITIBA), May 2020
11. International Journal of

    Quality assessment of pine wood harvesting by residue inventory using line intercept cluster sampling

    Larissa F. Lima, Allan L. Pelissari, Carla K. Rodrigues, and 2 more authors

    International Journal of Forest Engineering, Sep 2020

    DOI
12. FLORESTA (ONLINE) (CURIT

    EVOLUÇÃO DO CAMPO DE GEOTECNOLOGIAS NO CURSO DE GRADUAÇÃO E PÓS-GRADUAÇÃO EM ENGENHARIA FLORESTAL E PERSPECTIVAS FUTURAS

    FLORESTA (ONLINE) (CURITIBA), Sep 2020
13. BIOFIX

    MERCADO DE CELULOSE NO BRASIL E EM CINCO GRANDES PAÍSES

    Carlos Roberto Sanquetta, Luani Rosa de Oliveira Piva, Mateus Niroh Inoue Sanquetta, and 2 more authors

    BIOFIX Scientific Journal, Jul 2020

    DOI
14. RF

    k-NEAREST NEIGHBOR AND LINEAR REGRESSION IN THE PREDICTION OF THE ARTIFICIAL FORM FACTOR

    Deivison Venicio Souza, Júlio Cesar Nievola, Ana Paula Dalla Corte, and 1 more author

    FLORESTA, Jul 2020

    DOI
15. Journal of Sustainable F

    Combining Sample Designs to Account for the Whole Necromass Carbon Stock in Brazilian Atlantic Forest

    Greyce C. B. Maas, Carlos R. Sanquetta, Renato Marques, and 4 more authors

    Journal of Sustainable Forestry, Oct 2020

    DOI
16. Land

    Exploring Forest Change Spatial Patterns in Papua New Guinea: A Pilot Study in the Bumbu River Basin

    Willie Doaemo, Midhun Mohan, Esmaeel Adrah, and 2 more authors

    Land, Aug 2020

    DOI
17. Ciênc. Florest.

    Efeitos do controle mecânico sobre Phyllostachys aurea Carr. ex A. & C. Rivière no Parque Estadual de Vila Velha - PR

    Marilia Do Carmo Dolci de Carvalho, Carlos Roberto Sanquetta, and Ana Paula Dalla Corte

    Ciência Florestal, Sep 2020

    DOI
18. Computers and Electronic

    Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes

    Ana Paula Dalla Corte, Deivison Venicio Souza, Franciel Eduardo Rex, and 12 more authors

    Computers and Electronics in Agriculture, Dec 2020

    DOI
19. Remote Sensing

    Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models

    Rodrigo Leite, Carlos Silva, Midhun Mohan, and 17 more authors

    Remote Sensing, Nov 2020

    DOI
20. Nature and Conservation

    Aporte de serapilheira e teor de carbono orgânico em um fragmento florestal urbano

    Daniela Biondi Batista, Fernando Vicente Dácol, Ana Paula Dalla Corte, and 2 more authors

    Nature and Conservation, Jul 2020

    DOI
21. Sci. For.

    Effect of high forest and coppice regimes on the diameter distribution of Eucalyptus urophylla S. T. Blake stands

    Luani Rosa de Oliveira Piva, Marieli Sabrina Ruza, Tatiane de Oliveira Heck, and 3 more authors

    Scientia Forestalis, Sep 2020

    DOI
22. Remote Sensing

    Single-Pass UAV-Borne GatorEye LiDAR Sampling as a Rapid Assessment Method for Surveying Forest Structure

    Gabriel Atticciati Prata, Eben North Broadbent, Danilo Roberti Alves Almeida, and 10 more authors

    Remote Sensing, Dec 2020

    DOI
23. RF

    Efficiency of net primary biomass production of Eucalyptus dunnii Maiden seedlings.

    Sérgio Costa Junior, Ana Paula Dalla Corte, Alexandre Behling, and 3 more authors

    FLORESTA, Jun 2020

    DOI