Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network

Progress of hyperspectral data processing and modelling for cereal crop nitrogen monitoring

(2020) Yuanyuan Fu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Foliar functional traits from imaging spectroscopy across biomes in eastern North America

(2020) Zhihui Wang et al.   NEW PHYTOLOGIST

Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

(2020) Katja Berger et al.   REMOTE SENSING OF ENVIRONMENT

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

(2020) Katja Berger et al.   International Journal of Applied Earth Observation and Geoinformation

Quantifying uncertainty for remote spectroscopy of surface composition

(2020) David R. Thompson et al.   REMOTE SENSING OF ENVIRONMENT

PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents

(2020) Jean-Baptiste Féret et al.   REMOTE SENSING OF ENVIRONMENT

A Perspective on Gaussian Processes for Earth Observation

(2019) Gustau Camps-Valls et al.   National Science Review

Estimating Nitrogen from Structural Crop Traits at Field Scale—A Novel Approach Versus Spectral Vegetation Indices

(2019) Nora Tilly et al.   Remote Sensing

Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data

(2019) Jochem Verrelst et al.   Remote Sensing

Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

(2019) Wartini Ng et al.   GEODERMA

Grassland ecosystem services in a changing environment: The potential of hyperspectral monitoring

(2019) W.A. Obermeier et al.   REMOTE SENSING OF ENVIRONMENT

Wavelet-based coupling of leaf and canopy reflectance spectra to improve the estimation accuracy of foliar nitrogen concentration

(2018) Junjie Wang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration

(2018) Chenhao Cui et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Estimation of AOD Under Uncertainty: An Approach for Hyperspectral Airborne Data

(2018) Nitin Bhatia et al.   Remote Sensing

Assessing the Impact of Spatial Resolution on the Estimation of Leaf Nitrogen Concentration Over the Full Season of Paddy Rice Using Near-Surface Imaging Spectroscopy Data

(2018) Kai Zhou et al.   Frontiers in Plant Science

Mapping foliar functional traits and their uncertainties across three years in a grassland experiment

(2018) Zhihui Wang et al.   REMOTE SENSING OF ENVIRONMENT

Hyperspectral Image Superresolution by Transfer Learning

(2017) Yuan Yuan et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A new deep convolutional neural network for fast hyperspectral image classification

(2017) M.E. Paoletti et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism

(2017) Benjamin Dechant et al.   REMOTE SENSING OF ENVIRONMENT

Leveraging uncertainty information from deep neural networks for disease detection

(2017) Christian Leibig et al.   Scientific Reports

Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval

(2016) Jochem Verrelst et al.   IEEE Geoscience and Remote Sensing Letters

Estimation of bioenergy crop yield and N status by hyperspectral canopy reflectance and partial least square regression

(2016) A. J. Foster et al.   PRECISION AGRICULTURE

Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests

(2016) Xi Yang et al.   REMOTE SENSING OF ENVIRONMENT

Linking seasonal foliar traits to VSWIR-TIR spectroscopy across California ecosystems

(2016) Susan K. Meerdink et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data

(2015) Bastian Siegmann et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

(2015) Jochem Verrelst et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning

(2015) Yann LeCun et al.   NATURE

Remote sensing of foliar nitrogen in cultivated grasslands of human dominated landscapes

(2015) Paul A. Pellissier et al.   REMOTE SENSING OF ENVIRONMENT

Multi-method ensemble selection of spectral bands related to leaf biochemistry

(2015) Hannes Feilhauer et al.   REMOTE SENSING OF ENVIRONMENT

Detecting leaf nitrogen content in wheat with canopy hyperspectrum under different soil backgrounds

(2014) X. Yao et al.   International Journal of Applied Earth Observation and Geoinformation

A fully traits-based approach to modeling global vegetation distribution

(2014) P. M. van Bodegom et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data

(2013) A. Ramoelo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection

(2013) Kaiguang Zhao et al.   REMOTE SENSING OF ENVIRONMENT

Hyperspectral determination of feed quality constituents in temperate pastures: Effect of processing methods on predictive relationships from partial least squares regression

(2012) Susanne Thulin et al.   International Journal of Applied Earth Observation and Geoinformation

Seasonal prediction of in situ pasture macronutrients in New Zealand pastoral systems using hyperspectral data

(2012) I.D. Sanches et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Hyperspectral remote sensing of foliar nitrogen content

(2012) Y. Knyazikhin et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Diagnostic mapping of canopy nitrogen content in rice based on hyperspectral measurements

(2012) Yoshio Inoue et al.   REMOTE SENSING OF ENVIRONMENT

Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques

(2011) J. Verrelst et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture

(2011) R. R. Pullanagari et al.   PRECISION AGRICULTURE

Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

(2011) Jean-Baptiste Féret et al.   REMOTE SENSING OF ENVIRONMENT

Spectroscopy of canopy chemicals in humid tropical forests

(2011) Gregory P. Asner et al.   REMOTE SENSING OF ENVIRONMENT

Sources of variability in canopy reflectance and the convergent properties of plants

(2010) S. V. Ollinger   NEW PHYTOLOGIST

Identification of hyperspectral vegetation indices for Mediterranean pasture characterization

(2009) F. Fava et al.   International Journal of Applied Earth Observation and Geoinformation

Large, durable and low‐cost reflectance standard for field remote sensing applications

(2009) I. D. Sanches et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies

(2009) Raymond F. Kokaly et al.   REMOTE SENSING OF ENVIRONMENT

Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland

(2008) Roshanak Darvishzadeh et al.   REMOTE SENSING OF ENVIRONMENT

Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels

(2008) G ASNER et al.   REMOTE SENSING OF ENVIRONMENT