Search Results - "Del'Arco Sanches, Ieda"

Campo Verde Database: Seeking to Improve Agricultural Remote Sensing of Tropical Areas by Del'Arco Sanches, Ieda, Queiroz Feitosa, Raul, Achanccaray Diaz, Pedro Marco, Dias Soares, Marinalva, Barreto Luiz, Alfredo Jose, Schultz, Bruno, Pinheiro Maurano, Luis Eduardo

“…In tropical/subtropical regions, the favorable climate associated with the use of agricultural technologies, such as no tillage, minimum cultivation,…”
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Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences by Cué La Rosa, Laura Elena, Queiroz Feitosa, Raul, Nigri Happ, Patrick, Del’Arco Sanches, Ieda, Ostwald Pedro da Costa, Gilson Alexandre

“…Accurate crop type identification and crop area estimation from remote sensing data in tropical regions are still considered challenging tasks. The more…”
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Spectroscopic remote sensing of plant stress at leaf and canopy levels using the chlorophyll 680 nm absorption feature with continuum removal by DEL'ARCO SANCHES, Ieda, ROBERTO SOUZA, Carlos, KOKALY, Raymond Floyd

“…This paper explores the use of spectral feature analysis to detect plant stress in visible/near infrared wavelengths. A time series of close range leaf and…”
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Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis by Rodigheri, Grazieli, Sanches, Ieda Del’Arco, Richetti, Jonathan, Tsukahara, Rodrigo Yoiti, Lawes, Roger, Bendini, Hugo do Nascimento, Adami, Marcos

“…In the last decades, several methodologies for estimating crop phenology based on remote sensing data have been developed and used to create different…”
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A Method for Estimating Soybean Sowing, Beginning Seed, and Harvesting Dates in Brazil Using NDVI-MODIS Data by Santana, Cleverton Tiago Carneiro de, Sanches, Ieda Del’Arco, Caldas, Marcellus Marques, Adami, Marcos

“…Brazil, as a global player in soybean production, contributes about 35% to the world’s supply and over half of its agricultural exports. Therefore, reliable…”
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Precision and Digital Agriculture: Adoption of Technologies and Perception of Brazilian Farmers by Bolfe, Édson Luis, Jorge, Lúcio André de Castro, Sanches, Ieda Del’Arco, Luchiari Júnior, Ariovaldo, da Costa, Cinthia Cabral, Victoria, Daniel de Castro, Inamasu, Ricardo Yassushi, Grego, Célia Regina, Ferreira, Victor Rodrigues, Ramirez, Andrea Restrepo

“…The rapid population growth has driven the demand for more food, fiber, energy, and water, which is associated to an increase in the need to use natural…”
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Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review by de França e Silva, Nildson Rodrigues, Chaves, Michel Eustáquio Dantas, Luciano, Ana Cláudia dos Santos, Sanches, Ieda Del’Arco, de Almeida, Cláudia Maria, Adami, Marcos

“…The sugarcane crop has great socioeconomic relevance because of its use in the production of sugar, bioelectricity, and ethanol. Mainly cultivated in tropical…”
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Geometric accuracy assessment and a framework for automatic sub-pixel registration of WFI images from CBERS-4, CBERS-4A, and Amazonia-1 satellites over Brazil by Oldoni, Lucas Volochen, Del’Arco Sanches, Ieda, Picoli, Michelle C.A., Rohden Prudente, Victor Hugo, Adami, Marcos

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Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data by Parreiras, Taya, Bolfe, Édson, Chaves, Michel, Sanches, Ieda, Sano, Edson, Victoria, Daniel, Bettiol, Giovana, Vicente, Luiz

“…The Brazilian Savanna presents a complex agricultural dynamic and cloud cover issues; therefore, there is a need for new strategies for more detailed…”
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Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2 by Bolfe, Édson Luis, Parreiras, Taya Cristo, Silva, Lucas Augusto Pereira da, Sano, Edson Eyji, Bettiol, Giovana Maranhão, Victoria, Daniel de Castro, Sanches, Ieda Del’Arco, Vicente, Luiz Eduardo

“…Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado), mainly in the transition between Cerrado and the Amazon Forest, to…”
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LEM+ dataset: For agricultural remote sensing applications by Oldoni, Lucas Volochen, Sanches, Ieda Del'Arco, Picoli, Michelle Cristina A., Covre, Renan Moreira, Fronza, José Guilherme

“…Remote sensing allows obtaining information on agriculture regularly with non-invasive measurement approaches. Field data is crucial for adequate agricultural…”
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Cloud Cover Assessment for Operational Crop Monitoring Systems in Tropical Areas by Eberhardt, Isaque, Schultz, Bruno, Rizzi, Rodrigo, Sanches, Ieda, Formaggio, Antonio, Atzberger, Clement, Mello, Marcio, Immitzer, Markus, Trabaquini, Kleber, Foschiera, William, José Barreto Luiz, Alfredo

“…The potential of optical remote sensing data to identify, map and monitor croplands is well recognized. However, clouds strongly limit the usefulness of…”
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Impacts of Public and Private Sector Policies on Soybean and Pasture Expansion in Mato Grosso—Brazil from 2001 to 2017 by Picoli, Michelle C. A., Rorato, Ana, Leitão, Pedro, Camara, Gilberto, Maciel, Adeline, Hostert, Patrick, Sanches, Ieda Del’Arco

“…Demand for agricultural exports in Brazil has stimulated the expansion of crop production and cattle raising, which has caused environmental impacts. In…”
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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…”
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Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences by Chamorro Martinez, Jorge Andres, Cué La Rosa, Laura Elena, Feitosa, Raul Queiroz, Sanches, Ieda Del’Arco, Happ, Patrick Nigri

“…[Display omitted] •A novel N-to-N recurrent network for pixel-wise crop labeling of image sequences.•It combines RNN, encoder-decoder architectures and prior…”
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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…”
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Using crop models, a decline factor, and a “multi-model” approach to estimate sugarcane yield compared to on-farm data by Casaroli, Derblai, Sanches, Ieda Del’Arco, Quirino, Dayanna Teodoro, Evangelista, Adão Wagner Pêgo, Júnior, José Alves, Flores, Rilner Alves, Mesquita, Marcio, Battisti, Rafael, Rodigheri, Grazieli, Capuchinho, Frank Freire

“…Sugarcane is an important crop in Brazilian agribusiness due to its diversified use. Crop forecast models are important tools for planning and making decisions…”
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Detecção de áreas agrícolas em tempo quase real com imagens Modis by Eberhardt, Isaque Daniel Rocha, Luiz, Alfredo José Barreto, Formaggio, Antonio Roberto, Sanches, Ieda Del'Arco

“…Resumo: O objetivo deste trabalho foi desenvolver um método para identificação e monitoramento, em tempo quase real, de áreas agrícolas cultivadas com lavouras…”
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Evaluation of multiple SAR speckling filter techniques performance in irrigated rice areas by Garcia, Andre Dalla Bernardina, Celeste, Jimuel Jr, Cheng, Irene, Prudente, Victor Hugo Rohden, Sanches, Ieda Del’Arco

“…Monitoring irrigated rice crops is essential for efficient agricultural management, and Synthetic Aperture Radar (SAR) images are beneficial due to their…”
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Limitations of cloud cover for optical remote sensing of agricultural areas across South America by Prudente, Victor Hugo Rohden, Martins, Vitor Souza, Vieira, Denis Corte, Silva, Nildson Rodrigues de França e, Adami, Marcos, Sanches, Ieda Del’Arco

“…Earth Observation data support the large-scale monitoring of croplands across South America (SA). For instance, optical remote sensing (ORS) data are typically…”
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