Search Results - "Caicedo, Juan Pablo"

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data by Berger, Katja, Caicedo, Juan Pablo Rivera, Martino, Luca, Wocher, Matthias, Hank, Tobias, Verrelst, Jochem

“…The current exponential increase of spatiotemporally explicit data streams from satellitebased Earth observation missions offers promising opportunities for…”
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Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission by Candiani, Gabriele, Tagliabue, Giulia, Panigada, Cinzia, Verrelst, Jochem, Picchi, Valentina, Caicedo, Juan Pablo Rivera, Boschetti, Mirco

“…In the next few years, the new Copernicus Hyperspectral Imaging Mission (CHIME) is foreseen to be launched by the European Space Agency (ESA). This missions…”
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Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters by Caicedo, Juan Pablo Rivera, Verrelst, Jochem, Munoz-Mari, Jordi, Moreno, Jose, Camps-Valls, Gustavo

“…Biophysical parameters such as leaf chlorophyll content (LCC) and leaf area index (LAI) are standard vegetation products that can be retrieved from Earth…”
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Introducing ARTMO's Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape by Aghababaei, Masoumeh, Ebrahimi, Ataollah, Naghipour, Ali Asghar, Asadi, Esmaeil, Pérez-Suay, Adrián, Morata, Miguel, Garcia, Jose Luis, Caicedo, Juan Pablo Rivera, Verrelst, Jochem

“…Accurate plant-type (PT) detection forms an important basis for sustainable land management maintaining biodiversity and ecosystem services. In this sense,…”
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Systematic Assessment of MODTRAN Emulators for Atmospheric Correction by Vicent Servera, Jorge, Rivera-Caicedo, Juan Pablo, Verrelst, Jochem, Munoz-Mari, Jordi, Sabater, Neus, Berthelot, Beatrice, Camps-Valls, Gustau, Moreno, Jose

“…Atmospheric radiative transfer models (RTMs) simulate the light propagation in the Earth's atmosphere. With the evolution of RTMs, their increase in complexity…”
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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data by Verrelst, Jochem, Vicent, Jorge, Rivera-Caicedo, Juan Pablo, Lumbierres, Maria, Morcillo-Pallarés, Pablo, Moreno, José

“…Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from…”
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Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data by Pascual-Venteo, Ana B, Portalés, Enrique, Berger, Katja, Tagliabue, Giulia, Garcia, Jose L, Pérez-Suay, Adrián, Rivera-Caicedo, Juan Pablo, Verrelst, Jochem

“…In preparation for new-generation imaging spectrometer missions and the accompanying unprecedented inflow of hyperspectral data, optimized models are needed to…”
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Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine by Reyes-Muñoz, Pablo, Pipia, Luca, Salinero-Delgado, Matías, Belda, Santiago, Berger, Katja, Estévez, José, Morata, Miguel, Rivera-Caicedo, Juan Pablo, Verrelst, Jochem

“…Thanks to the emergence of cloud-computing platforms and the ability of machine learning methods to solve prediction problems efficiently, this work presents a…”
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Approximating Empirical Surface Reflectance Data through Emulation: Opportunities for Synthetic Scene Generation by Verrelst, Jochem, Rivera Caicedo, Juan Pablo, Vicent, Jorge, Morcillo Pallarés, Pablo, Moreno, José

“…Collection of spectroradiometric measurements with associated biophysical variables is an essential part of the development and validation of optical remote…”
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Plant Disease Diagnosis Based on Hyperspectral Sensing: Comparative Analysis of Parametric Spectral Vegetation Indices and Nonparametric Gaussian Process Classification Approaches by Reis Pereira, Mafalda, Verrelst, Jochem, Tosin, Renan, Rivera Caicedo, Juan Pablo, Tavares, Fernando, Neves dos Santos, Filipe, Cunha, Mário

“…Early and accurate disease diagnosis is pivotal for effective phytosanitary management strategies in agriculture. Hyperspectral sensing has emerged as a…”
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Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models by Morcillo-Pallarés, Pablo, Rivera-Caicedo, Juan Pablo, Belda, Santiago, De Grave, Charlotte, Burriel, Helena, Moreno, Jose, Verrelst, Jochem

“…Vegetation indices (VIs) are widely used in optical remote sensing to estimate biophysical variables of vegetated surfaces. With the advent of spectroscopy…”
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Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery by Caballero, Gabriel, Pezzola, Alejandro, Winschel, Cristina, Casella, Alejandra, Angonova, Paolo Sanchez, Rivera-Caicedo, Juan Pablo, Berger, Katja, Verrelst, Jochem, Delegido, Jesus

“…Earth observation offers an unprecedented opportunity to monitor intensively cultivated areas providing key support to assess fertilizer needs and crop water…”
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Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0) by Vicent, Jorge, Verrelst, Jochem, Sabater, Neus, Alonso, Luis, Rivera-Caicedo, Juan Pablo, Martino, Luca, Muñoz-Marí, Jordi, Moreno, José

“…Atmospheric radiative transfer models (RTMs) are software tools that help researchers in understanding the radiative processes occurring in the Earth's…”
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Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes by Vicent, Jorge, Verrelst, Jochem, Rivera-Caicedo, Juan Pablo, Sabater, Neus, Munoz-Mari, Jordi, Camps-Valls, Gustau, Moreno, Jose

“…Computationally expensive radiative transfer models (RTMs) are widely used to realistically reproduce the light interaction with the earth surface and…”
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Inter-rater and intra-rater reliability of the airway diameter measured by sonography by Gómez-Tamayo, Julio César, Puerta-Guarín, Jorge Iván, Rojas-Camejo, Claudia Marcela, Caicedo, Juan Pablo, Calvache, José Andrés

“…Introduction Sonography has gained a broad field of applications in current anesthetic practice. During airway management, it could have an important role,…”
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Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms by Verrelst, Jochem, Berger, Katja, Rivera-Caicedo, Juan Pablo

“…Upcoming satellite imaging spectroscopy missions will deliver spatiotemporal explicit data streams to be exploited for mapping vegetation properties, such as…”
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An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF by Lomelí-Huerta, José Roberto, Rivera-Caicedo, Juan Pablo, De-la-Torre, Miguel, Acevedo-Juárez, Brenda, Cepeda-Morales, Jushiro, Avila-George, Himer

“…This paper proposes an approach to fill in missing data from satellite images using data-intensive computing platforms. The proposed approach merges satellite…”
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Mapping landscape canopy nitrogen content from space using PRISMA data by Verrelst, Jochem, Rivera-Caicedo, Juan Pablo, Reyes-Muñoz, Pablo, Morata, Miguel, Amin, Eatidal, Tagliabue, Giulia, Panigada, Cinzia, Hank, Tobias, Berger, Katja

“…Satellite imaging spectroscopy for terrestrial applications is reaching maturity with recently launched and upcoming science-driven missions, e.g. PRecursore…”
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Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery by Tagliabue, Giulia, Boschetti, Mirco, Bramati, Gabriele, Candiani, Gabriele, Colombo, Roberto, Nutini, Francesco, Pompilio, Loredana, Rivera-Caicedo, Juan Pablo, Rossi, Marta, Rossini, Micol, Verrelst, Jochem, Panigada, Cinzia

“…The recently launched and upcoming hyperspectral satellite missions, featuring contiguous visible-to-shortwave infrared spectral information, are opening…”
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DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection by Belda, Santiago, Pipia, Luca, Morcillo-Pallarés, Pablo, Rivera-Caicedo, Juan Pablo, Amin, Eatidal, De Grave, Charlotte, Verrelst, Jochem

“…Optical remotely sensed data are typically discontinuous, with missing values due to cloud cover. Consequently, gap-filling solutions are needed for accurate…”
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