Search Results - "Sehn Körting, Thales"

Environmental Drivers of Water Use for Caatinga Woody Plant Species: Combining Remote Sensing Phenology and Sap Flow Measurements by Paloschi, Rennan A., Ramos, Desirée Marques, Ventura, Dione J., Souza, Rodolfo, Souza, Eduardo, Morellato, Leonor Patrícia Cerdeira, Nóbrega, Rodolfo L. B., Coutinho, Ítalo Antônio Cotta, Verhoef, Anne, Körting, Thales Sehn, Borma, Laura De Simone

“…We investigated the water use of Caatinga vegetation, the largest seasonally dry forest in South America. We identified and analysed the environmental…”
Get full text

Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome by NEVES, Alana Kasahara, KÖRTING, Thales Sehn, FONSECA, Leila Maria Garcia, ESCADA, Maria Isabel Sobral

“…ABSTRACT Reliable environmental monitoring and evaluation require high-quality maps of land use and land cover. For the Amazon biome, the TerraClass and…”
Get full text

Landslide Scars Detection using Remote Sensing and Pattern Recognition Techniques: Comparison Among Artificial Neural Networks, Gaussian Maximum Likelihood, Random Forest, and Support Vector Machine Classifiers by Dias Tardelli Uehara, Tatiana, Paes Leme Passos Corrêa, Sabrina, Pacheco Quevedo, Renata, Sehn Körting, Thales, Vieira Dutra, Luciano, Daleles Rennó, Camilo

“…Landslide inventory is an essential tool to support disaster risk mitigation. The inventory is usually obtained via conventional methods, as visual…”
Get full text

Improvements in Sample Selection Methods for Image Classification by Korting, Thales Sehn, Fonseca, Leila Maria Garcia, Castejon, Emiliano Ferreira, Namikawa, Laercio Massaru

“…Traditional image classification algorithms are mainly divided into unsupervised and supervised paradigms. In the first paradigm, algorithms are designed to…”
Get full text

Contribution of time-series data cubes to classify urban vegetation types by remote sensing by Adorno, Bruno Vargas, Körting, Thales Sehn, Amaral, Silvana

“…Mapping urban vegetation types is important for urban planning and assessing environmental justice. Nowadays, despite data cubes projects are providing…”
Get full text

GeoDMA—Geographic Data Mining Analyst by Körting, Thales Sehn, Garcia Fonseca, Leila Maria, Câmara, Gilberto

“…Remote sensing images obtained by remote sensing are a key source of data for studying large-scale geographic areas. From 2013 onwards, a new generation of…”
Get full text

Identification of coastal natural disasters using official databases to provide support for the coastal management: the case of Santa Catarina, Brazil by Leal, Karine Bastos, Robaina, Luís Eduardo de Souza, Körting, Thales Sehn, Nicolodi, João Luiz, da Costa, Júlia Dasso, Souza, Vitória Gonçalves

“…The increase in natural disaster frequency, intensified by climate change, poses one of the greatest threats to coastal systems and low-lying areas worldwide…”
Get full text

Land use and land cover changes without invalid transitions: A case study in a landslide-affected area by Quevedo, Renata Pacheco, Maciel, Daniel Andrade, Reis, Mariane Souza, Rennó, Camilo Daleles, Dutra, Luciano Vieira, Andrades-Filho, Clódis de Oliveira, Velástegui-Montoya, Andrés, Zhang, Tingyu, Körting, Thales Sehn, Anderson, Liana Oighenstein

“…Land use and land cover (LULC) analysis provides valuable information to understand environmental changes and their effects on landslide occurrence. However,…”
Get full text

A Framework to Automatic Detect Center Pivots Using Land Use and Land Cover Data by Rodrigues, Marcos Lima, Körting, Thales Sehn, Queiroz, Gilberto Ribeiro de

“…Water management is a key field to support life and economic activity nowadays. The greatly increased mechanization of agriculture, mainly through center pivot…”
Get full text

Processamento de Imagens dos Satélites Brasileiros CBERS-4 e CBERS-4A para Respostas Rápidas a Desastres by Rocha, Brenda Oliveira, Körting, Thales Sehn, Namikawa, Laercio Massaru

“…As imagens de satélite podem contribuir para a identificação e análise das áreas afetadas por desastres naturais, através da utilização de técnicas de…”
Get full text

Subpixel Analysis of MODIS Imagery Time Series using Transfer Learning and Relative Calibration by Moreira, Noeli Aline Particcelli, Reis, Mariane Souza, Körting, Thales Sehn, Dutra, Luciano Vieira, Castejon, Emiliano Ferreira, Arai, Egidio

“…Transfer learning reuses a pre-trained model on a new related problem, which can be useful for monitoring large areas such as the Amazon biome. A given object…”
Get full text

WATER BODY EXTRACTION FROM RAPIDEYE IMAGES: AN AUTOMATED METHODOLOGY BASED ON HUE COMPONENT OF COLOR TRANSFORMATION FROM RGB TO HSV MODEL by Namikawa, Laercio Massaru, Körting, Thales Sehn, Castejon, Emiliano Ferreira

“…Water management and flood studies are some fields in which a map with all water bodies in a region is useful, especially in scenarios of environmental changes…”
Get full text

IMPROVEMENTS OF THE DIVIDE AND SEGMENT METHOD FOR PARALLEL IMAGE SEGMENTATION by Soares, Anderson Reis, Körting, Thales Sehn, Fonseca, Leila Maria Garcia

“…Remote Sensing is an important source of data about the dynamics of Earth's land and oceans, but retrieve information from this technique, is a challenge…”
Get full text

Burned Area Detection in the Brazilian Amazon using Spectral Indices and GEOBIA by Penha, Thales Vaz, Körting, Thales Sehn, Fonseca, Leila Maria Garcia, Silva Júnior, Celso Henrique Leite, Pletsch, Mikhaela Aloísia Jessie Santos, Anderson, Liana Oighenstein, Morelli, Fabiano

“…Mapping refined burned areas (BA) in the Brazilian Amazon is still a challenge. The main difficulty of BA detection in large areas is the presence of cloud…”
Get full text

Assessment of Texture Features for Bermudagrass (Cynodon dactylon) Detection in Sugarcane Plantations by Girolamo-Neto, Cesare Di, Sanches, Ieda Del’Arco, Neves, Alana Kasahara, Prudente, Victor Hugo Rohden, Körting, Thales Sehn, Picoli, Michelle Cristina Araujo, Aragão, Luiz Eduardo Oliveira e Cruz de

“…Sugarcane products contribute significantly to the Brazilian economy, generating U.S. $12.2 billion in revenue in 2018. Identifying and monitoring factors that…”
Get full text

Classificação Supervisionada de Áreas Queimadas do Cerrado Utilizando Atributos Espectrais Provenientes de Séries Temporais do Sensor WFI by Oliveira, Alisson Cleiton de, Rocha, Brenda Oliveira, Costa, Cesar Augusto de Moraes, Körting, Thales Sehn

“…O Cerrado evoluiu sob a presença natural do fogo, contudo, incêndios de origem antrópica colocam em risco a conservação dos ecossistemas desse bioma, pois são…”
Get full text

TRENDS IN GEOINFORMATICS by Körting, Thales Sehn, Ferreira, Karine Reis, Vinhas, Lúbia, Monteiro, Antônio Miguel Vieira, Queiroz, Gilberto Ribeiro de

“…After a thorough review of the past editions of the Brazilian Symposium on GeoInformatics (GEOINFO), from 1999 to 2015, which included more than 300 articles,…”
Get full text

BAYESIAN NETWORK MODEL TO PREDICT AREAS FOR SUGARCANE EXPANSION IN BRAZILIAN CERRADO by Silva, Alexsandro Cândido de Oliveira, Fonseca, Leila Maria Garcia, Körting, Thales Sehn

“…The growing demand for ethanol has powered the shift of the sugarcane frontier into the Brazilian Cerrado, mainly in the states of Goiás and Mato Grosso do…”
Get full text

ASSESSMENT OF TEXTURE FEATURES FOR BRAZILIAN SAVANNA CLASSIFICATION: A CASE STUDY IN BRASÍLIA NATIONAL PARK by Girolamo Neto, Cesare Di, Fonseca, Leila Maria Garcia, Körting, Thales Sehn

“…Distinguishing Brazilian savanna physiognomies is an essential task to better evaluate carbon storage and potential emissions of greenhouse gases. In this…”
Get full text

ASSESSMENT OF A MULTI-SENSOR APPROACH FOR NOISE REMOVAL ON LANDSAT-8 OLI TIME SERIES USING CBERS-4 MUX DATA TO IMPROVE CROP CLASSIFICATION BASED ON PHENOLOGICAL FEATURES by Bendini, Hugo do Nascimento, Fonseca, Leila Maria Garcia, Körting, Thales Sehn, Marujo, Rennan de Freitas Bezerra, Sanches, Ieda Del'Arco, Arcanjo, Jeferson de Souza

“…In this work we investigated a method for noise removal on Landsat-8 OLI time series using CBERS-4 MUX data to improve crop classifi cation. An algorithm was…”
Get full text