Papers by Eraldo Matricardi
Floresta e Ambiente, 2015
RESUMOA infraestrutura para exploração florestal é fundamental nas atividades de exploração madei... more RESUMOA infraestrutura para exploração florestal é fundamental nas atividades de exploração madeireira, mas responde por grande parte dos impactos ambientais dessa atividade. O presente estudo aplicou e testou cinco técnicas de processamento digital de imagens orbitais com três resoluções espaciais distintas para a detecção de estradas e pátios florestais construídos em áreas sob manejo florestal sustentável na Floresta Nacional do Jamari, estado de Rondônia. Os resultados mostraram que o NDVI e a Análise de componentes principais apresentaram a melhor acurácia global nas resoluções espaciais de 5 e 10 metros e na de 30 metros, respectivamente. De maneira geral, a acurácia do produtor para a classe de interesse não foi alta, alcançando no máximo 39,2%, e índice Kappa de 0,38. A baixa performance das técnicas de geoprocessamento utilizadas na detecção de florestas exploradas seletivamente está relacionada às alterações ocorridas no dossel da floresta manejada, pouco perceptíveis em i...
Natural Resources, 2014
Gap fraction is a biophysical variable related to energy balance, forest fauna, micro-climate and... more Gap fraction is a biophysical variable related to energy balance, forest fauna, micro-climate and regeneration, and is an important indicator of forest management quality. The objective of this study was to compare gap fraction estimates from undisturbed forests and different environments or strata of selectively logged areas. Moreover, gap fraction measurements were collected with two distinct instruments (optical canopy analyzer LAI-2000 and hemispherical photographs). Field data were collected from two sustainable forest management sites at Jamari National Forest, Rondônia State, Brazilian Amazon. Our results indicated significant differences between data acquired using these two instruments. For instance, the LAI-2000 data showed greater variation for each environment compared to hemispherical photographics data, and the data were also more sensitive to the increase in gap fraction. Small variations were found in the gap fraction means for the two study areas, and only data for the undisturbed area were significantly different. A gradient of increasing gap fraction that ranged from primary forests to log decks was observed. Furthermore, a multiple linear regression analysis determined the contribution of the selectively logged environments to decreased forest cover, confirming the observed gradient.
Journal of Applied Remote Sensing, Mar 28, 2022
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific r... more HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Environmental management and sustainable development, Mar 13, 2024
Soil loss stands as a critical global challenge, posing economic and environmental threats to soi... more Soil loss stands as a critical global challenge, posing economic and environmental threats to soil and water conservation. This study aimed to assess the impact of landscape changes on soil loss in the Descoberto River basin, encompassing 62 watersheds in the Cerrado biome in central Brazil. We analysed a 32-year time series of land use and land cover data based on geostatistical techniques and spatiotemporal weighted regression analysis. Principal component analysis condensed 16 landscape metrics into three factors: aggregation/diversity, dispersion/adjacency, and patchiness. The average annual total soil loss across all 62 analysed watersheds was estimated at 73.3 ± 78.2 (standard deviation) ton ha -1 . A significant positive correlation was observed between landscape fragmentation and soil erosion, indicating that, as fragmentation increases, soil losses also increase. Furthermore, our analysis revealed a decreasing trend in soil loss rates in recent years, primarily attributed to the recovery of native vegetation since no significant soil management practices were widely implemented in the study area during the study period.
Environmental management and sustainable development, Feb 27, 2024
Ecosystem structure and function depends on the local and regional species pools, climate, geolog... more Ecosystem structure and function depends on the local and regional species pools, climate, geology, and type and frequency of disturbances. Tropical rain forests have long been growing in relatively stable climatic conditions and little disturbances until recent decades, when large-scale of land conversion into croplands and forest impacts by selective logging activities and forest fires have been more frequently observed. Selective logging causes forest degradation, which requires a rigorous monitoring system to control and mitigate forest impacts and recovery. Overtime forest disturbances and recovery can be estimated by using vegetation indices derived from remotely sensed data that enable us to distinguish disturbed from undisturbed forests and estimate the degree of those disturbances. This study aimed to assess the suitability of the Modified Soil Adjusted Vegetation Index (MSAVI) to detect selectively logged forests and estimate the forest recovery structure in a study site in the state of Pará, Eastern Amazon region. We retrieved the MSAVI from Landsat imagery to assess forest impacts by selective logging before and after logging. The estimated MSAVI index before and after logging activities were significantly different and enabled us to distinguish forest recovery structures after selective logging in the study site. Our methodological approach can be used to monitor selective logging activities and support planning of Sustainable Forest Management in tropical regions.
eBook do Curso de Extensão Universitária: Fragmentação da paisagem e modelagem de corredores ecológicos
Esse eBook do curso de extensão universitária, teve a pretensão de utilizar recursos geotecnológi... more Esse eBook do curso de extensão universitária, teve a pretensão de utilizar recursos geotecnológicos atuais e metodologias consagradas no meio científico, para ensinar de forma clara e objetiva, como é importante conhecer e entender o potencial de algumas ferramentas geotecnológicas, para obter resultados consistentes e confiáveis.
The near-real-time detection of selective logging in tropical forests is essential to support act... more The near-real-time detection of selective logging in tropical forests is essential to support actions for reducing CO 2 emissions and for monitoring timber extraction from forest concessions in tropical regions. Current operating systems rely on optical data that are constrained by persistent cloud-cover conditions in tropical regions. Synthetic aperture radar data represent an alternative to this technical constraint. This study aimed to evaluate the performance of three machine learning algorithms applied to multitemporal pairs of COSMO-SkyMed images to detect timber exploitation in a forest concession located in the Jamari National Forest, Rondônia State, Brazilian Amazon. The studied algorithms included random forest (RF), AdaBoost (AB), and multilayer perceptron artificial neural network (MLP-ANN). The geographical coordinates (latitude and longitude) of logged trees and the LiDAR point clouds before and after selective logging were used as ground truths. The best results were obtained when the MLP-ANN was applied with 50 neurons in the hidden layer, using the ReLu activation function and SGD weight optimizer, presenting 88% accuracy both for the pair of images used for training (images acquired in June and October) of the network and in the generalization test, applied on a second dataset (images acquired in January and June). This study showed that X-band SAR images processed by applying machine learning techniques can be accurately used for detecting selective logging activities in the Brazilian Amazon.
AMBIÊNCIA, Jul 11, 2014
Este trabalho envolveu uma análise espaço-temporal dos incêndios florestais ocorridos no Parque N... more Este trabalho envolveu uma análise espaço-temporal dos incêndios florestais ocorridos no Parque Nacional Serra da Canastra (PNSC) no estado de Minas Gerais. Imagens do satélite Landsat-5, sensor TM adquiridas entre 1991 a 2011 foram utilizadas para o estudo. As imagens foram corrigidas geométrica e radiometricamente, e em seguida foram transformadas em imagens frações da Análise de Componentes Principais (ACP), o que removeu a correlação entre as bandas e aumentou a discriminação das áreas queimadas. As novas imagens frações da ACP foram analisadas espectralmente e em seguida utilizadas como dados de entrada numa classificação por árvore de decisão, utilizando as frações ACP3, ACP4 e ACP5, que apresentaram as melhores respostas para a discriminação das cicatrizes dos incêndios florestais na vegetação do Cerrado. A classificação desenvolvida mostrou excelente acurácia global, aproximadamente 93%, coeficiente Kappa de 92% e ainda 0% e 18% para erros de omissão e comissão, respectivamente. Os anos mais afetados pelos incêndios florestais foram 1991, 1997, 2001, 2007 e 2010, com cerca de 80% da área total do parque atingido pelo fogo. Em 2010, um total de 157 mil hectares foram queimados e em 2000 uma área de 140 mil hectares foi queimada em um único incêndio. Houve um aumento das áreas atingidas pelo fogo em todo o parque no período de estudo, bem como um aumento da recorrência
Ambiência, 2014
Este trabalho envolveu uma análise espaço-temporal dos incêndios florestais ocorridos no Parque N... more Este trabalho envolveu uma análise espaço-temporal dos incêndios florestais ocorridos no Parque Nacional Serra da Canastra (PNSC) no estado de Minas Gerais. Imagens do satélite Landsat-5, sensor TM adquiridas entre 1991 a 2011 foram utilizadas para o estudo. As imagens foram corrigidas geométrica e radiometricamente, e em seguida foram transformadas em imagens frações da Análise de Componentes Principais (ACP), o que removeu a correlação entre as bandas e aumentou a discriminação das áreas queimadas. As novas imagens frações da ACP foram analisadas espectralmente e em seguida utilizadas como dados de entrada numa classificação por árvore de decisão, utilizando as frações ACP3, ACP4 e ACP5, que apresentaram as melhores respostas para a discriminação das cicatrizes dos incêndios florestais na vegetação do Cerrado. A classificação desenvolvida mostrou excelente acurácia global, aproximadamente 93%, coeficiente Kappa de 92% e ainda 0% e 18% para erros de omissão e comissão, respectivamente. Os anos mais afetados pelos incêndios florestais foram 1991, 1997, 2001, 2007 e 2010, com cerca de 80% da área total do parque atingido pelo fogo. Em 2010, um total de 157 mil hectares foram queimados e em 2000 uma área de 140 mil hectares foi queimada em um único incêndio. Houve um aumento das áreas atingidas pelo fogo em todo o parque no período de estudo, bem como um aumento da recorrência
Australian Journal of Crop Science, Nov 1, 2022
The continuous monitoring of dendrometric variables provides estimates that assist in conducting ... more The continuous monitoring of dendrometric variables provides estimates that assist in conducting fast-growing stands. In this study, we aimed to investigate the performance of generic models and artificial neural networks to estimate total height of Tectona grandis in a forest stand in the Eastern Amazon. Continuous forest inventory was performed in this population, where total height and diameter at breast height were measured. The variables such as age and the square root of the average diameter (dg) of the plots were used to compose the methods adopted to estimate the height of the trees. The accuracy of these methods was assessed using the residual standard error of the estimate, the coefficient of correlation, and the graphical analysis of residues. The aggregated difference and ANOVA were calculated to compare the methods. The independent variables mentioned were able to describe the height behavior of individuals. We concluded that the methods have good residual dispersion, normal distribution of errors and little tendency to overestimate height. It was found that the generic models and the ANNs do not differ significantly from each other and are efficient to estimate the height of individuals. We also concluded that the ANNs, especially those that included dg, presented superior statistical indicators.
Artificial intelligence tools and vegetation indices combined to estimate aboveground biomass in tropical forests
Journal of Applied Remote Sensing, May 19, 2023
O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilida... more O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores. 2019 Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais. www.atenaeditora.com.br APRESENTAÇÃO A obra "Pantanal O Espaço Geográfico e as Tecnologias em Análises" aborda uma série de capítulos de publicação da Atena Editora, apresenta, em seus 16 capítulos, conhecimentos tecnológicos do pantanal e suas especificidades. As Ciências estão globalizadas, englobam, atualmente, diversos campos em termos de pesquisas tecnológicas, dentre eles, o bioma pantanal. Tal bioma, tem característica peculiares, alimentares, culturais, edafoclimáticas, étnicos, entre outros. O bioma pantanal por ser rico em diversidades biológicas, a preservação é necessária para o equilíbrio do meio ambiente. Vários são os desafios para a conservação do bioma pantanal, entre eles, destacam-se as queimadas e incêndios florestais, o monitoramento da qualidade das águas, o levantamento da distribuição das espécies arbóreas, dentre outras. Portanto, o conhecimento do espaço geográfico e as tecnologias de análise são importantes para garantir a conservação do bioma pantanal. Este livro traz artigos alinhados com o bioma pantanal e suas especificidades. As transformações tecnológicas desse bioma são possíveis devido o aprimoramento constante, com base em novos conhecimentos científicos. Aos autores dos diversos capítulos, pela dedicação e esforços sem limites, que viabilizaram esta obra que retrata os recentes avanços científicos e tecnológicos, os agradecimentos do Organizador e da Atena Editora. Por fim, esperamos que este livro possa colaborar e instigar mais estudantes e pesquisadores na constante busca de novas tecnologias para o bioma do pantanal, assim, garantir perspectivas de solução para o desenvolvimento local e regional para as futuras gerações de forma sustentável.
Iforest - Biogeosciences and Forestry, Feb 29, 2020
The use of artificial intelligence to generate information of the savanna's energy capacity may s... more The use of artificial intelligence to generate information of the savanna's energy capacity may support sustainable management of those areas. We assessed the efficacy of artificial neural networks (ANNs) combined with satellite data to estimate the energy potential (Pe) for cerradão, a dense savannah-like vegetation type in Brazil. We conducted a forest inventory for measuring dendrometric variables and sampling woody materials and barks in a cerradão area in the state of Tocantins, Brazil. The Pe of cerradão biomass was estimated based on the observed higher calorific power and drier biomass values. Six vegetation indices were retrieved from a RapidEye image and tested for correlation to choose the optimum vegetation index for biomass modeling. The basal area and the Normalized Difference Vegetation Index were used as predictors in the Pe modeling. We estimated an average of 19.234 ± 0.411 GJ ton -1 and 19.878 ± 1.090 GJ ton -1 for higher heating values of the wood species and barks, respectively, and an average Pe of 1022.660 GJ ha -1 . The best ANN showed an error of 11.3% by using a structure of two, eight, and one neurons in the input layer, in the hidden layer, and in the output layer, respectively, as well as activation functions of the tangential and sigmoidal types. The validation tests showed no significant difference between the observed and ANNpredicted values. Based on our results, we concluded that Pe can be efficiently predicted by combining ANNs and remotely sensed data, which ultimately is a promising tool for forest sustainable management of the cerrado ecosystems.
Forests, Mar 17, 2023
In Brazil, affordable housing programs aimed at low-income populations reach a limited number of ... more In Brazil, affordable housing programs aimed at low-income populations reach a limited number of people. In the northern region, conventional bricklaying is the preferred method of building affordable single-family houses, which are essentially sets of tiny houses on the outskirts of cities. Conventional bricklaying can damage the environment. This study, started in July 2019, aimed to understand the perception of using timber to build affordable houses by housing program stakeholders and determine why the beneficiaries of housing programs prefer brick houses to wooden houses in locations with building permits. We applied a SWOT analysis to a group of 60 individuals comprising government agents and wooden and brick house residents of cities located in the northern region of Brazil. Subsequently, we devised relevant strategies, validated by stakeholders involved in public policy, for the provision of wooden housing for low-income populations. We used R software to analyze the data, and the results showed that the beneficiaries of affordable housing programs were unaware of wooden architectural projects and their durability, despite the regional abundance of wood and its environmental benefits. We suggest using strategies based on the SWOT analysis and validated by a group of experts to include the Affordable Wooden Housing (AWH) Project in the National Rural Housing Program (PNHR) and Harvest Plan.
Spatiotemporal assessment of land surface temperature and vegetation in tropical urban areas
Urban Ecosystems, Sep 21, 2022
Land Use Policy, Dec 1, 2020
The semiarid region in the state of Sergipe, Brazil, approximately 11,000 km 2 , has experienced ... more The semiarid region in the state of Sergipe, Brazil, approximately 11,000 km 2 , has experienced high deforestation rates in the last decades, which ultimately contribute to global climatic changes. The valuation of ecosystem services of CO 2 sequestration can support definition of environmental policies to decrease deforestation in that region. This study aimed to assess land use and land cover changes in the Sergipe semiarid region between 1992 and 2017 by applying remotely sensed data and technics; simulate the land use and land cover changes between 2017 and 2030 by applying a cellular automaton model, by assuming current land use trends (Business as Usual -BAU) as a reference scenario, and a more conservative scenario (Protected Forest -PF), in which was assumed an effective enforcement of the Brazilian Forest Code established in 2012; simulate the carbon stocks by 2017 assuming the BAU and PF scenarios by 2030, and estimate the Carbon balance between the 2030 and 2017 scenarios; and estimate the economic valuation of carbon emission and sequestration by using the InVEST software. The results showed that agriculture (cropped lands) was main driver of the landscape changes in the study area, which increased 14% by 2017, a net increase of 1494.45 km 2 . The results showed that the total Carbon emissions would reach 736,900 Mg CO 2 -eq by assuming the BAU scenario, which would increase the cost of opportunity up to US$ 17.7 million and a social carbon cost varying between US$ 10.3 and US$ 30.2 million. The restoration of the permanent preservation areas could contribute to increase Carbon sequestration up to 481,900 Mg CO 2 -eq by 2030, which is equivalent cost of US$ 11.6 million. The natural landscape in the Sergipe semiarid region was strongly affected by deforestation activities occurred between 1992 and 2017. It requires, therefore, effective actions to support and promote restoration of degraded areas. The forested areas within the Sergipe semiarid region were the most affected type of vegetation because of expansion of agricultural fields soil exposures (Exposed Land). Environmental assessments based on scenarios and economic valuations can provide crucial information to support policy and decision makers to improve strategies for environmental management and conservation. decreasing deforestation rate has been observed in tropical regions in the last decade , although those regions are the main source of GHG emissions . GHG emissions in Brazil reached 2 billion Mg CO 2 -eq (carbon dioxide equivalent) in 2017, which levered the country to the seventh largest global GHG
Revista Brasileira de Cartografia, Dec 30, 2020
Resumo: Este artigo aborda o estado da arte do sensoriamento remoto por radar e foi elaborado par... more Resumo: Este artigo aborda o estado da arte do sensoriamento remoto por radar e foi elaborado para fazer parte da edição especial de comemoração dos 50 anos desta revista. Neste estudo, é apresentada uma breve introdução sobre os fundamentos do sensoriamento remoto por radar, com destaque para os parâmetros mais importantes de imageamento e da superfície terrestre envolvidos no processo de obtenção de imagens de radar. Ênfase é dada para o comprimento de onda, polarização das ondas eletromagnéticas e geometria de obtenção de imagens (parâmetros de imageamento) e para a umidade de solos e da vegetação, rugosidade do terreno e estrutura da vegetação (parâmetros da superfície terrestre). Em seguida, são apresentados os principais sensores orbitais de radar de abertura sintética que estão atualmente em operação e os principais processamentos digitais de imagens de radar, destacando-se a conversão dos valores digitais para coeficientes de retroespalhamento, os filtros espaciais para redução do ruído speckle, as técnicas de decomposição de imagens e o processamento InSAR. Finalmente, é apresentada uma breve discussão sobre algumas aplicações potenciais, com especial atenção para o monitoramento de derrame de óleo em plataformas continentais, estimativa de biomassa aérea, monitoramento de desmatamento em coberturas florestais tropicais, detecção de áreas de plantio de arroz irrigado e estimativa de umidade de solos. Palavras-chave: SAR. Sensoriamento remoto. Retroespalhamento. Satélites de recursos terrestres.
17. Selective Logging, Forest Fragmentation, and Fire Disturbance
Forests
Stem profile modeling is crucial in the forestry sector, particularly for commercially valuable s... more Stem profile modeling is crucial in the forestry sector, particularly for commercially valuable species like teak (Tectona grandis Linn F.), whose value depends on its stem dimensions, heartwood proportion, and age. We proposed a nonlinear mixed-effect model to describe the evolution of the stem and heartwood profiles of clonal teak trees with ages between 4 and 12 years in the Brazilian Amazon. Tapering models were used to estimate the bark, bark-free, and heartwood diameters. Dummy variables were included in each tapering model to estimate each type of diameter and enable compatibility. We used mixed models with age as a random effect in order to improve the accuracy. The Demaerschalk model provided the most accurate and compatible estimates for all three types of stem diameter. Also, age as a random effect significantly improved the model’s accuracy by 7.2%. We observed a progressive increase in the heartwood proportion (14% to 34%) with advancing age, while the proportions of ba...
Floresta, 2012
Para identificar as áreas aptas para a implantação dos povoamentos florestais, foi realizada a so... more Para identificar as áreas aptas para a implantação dos povoamentos florestais, foi realizada a sobreposição de variáveis do meio físico do Distrito Federal com variáveis relacionadas às exigências adaptativas de cada espécie estudada. Com base nos resultados desta pesquisa, as espécies que apresentaram potencial para cultivo nas condições físicas do Distrito Federal foram as três variedades de Pinus caribaea, P. elliottii var. elliottii, Eucalyptus camaldulensis, E. urophylla, E. grandis e Corymbia citriodora. As espécies Corymbia torelliana, Hevea brasiliensis e Tectona grandis não apresentaram potencial para o cultivo. Palavras-chave: Silvicultura; sistema de informação geográfica.
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Papers by Eraldo Matricardi