Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 Data

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

(2021) Katja Berger et al.   Remote Sensing

Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

(2020) Leevi Annala et al.   Remote Sensing

Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI

(2020) Benjamin Brede et al.   Remote Sensing

Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

(2020) Daniel Heestermans Svendsen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

(2019) Pedram Ghamisi et al.   IEEE Geoscience and Remote Sensing Magazine

Analysis of Sentinel-2 and RapidEye for Retrieval of Leaf Area Index in a Saltmarsh Using a Radiative Transfer Model

(2019) Roshanak Darvishzadeh et al.   Remote Sensing

A Comparison of Hybrid Machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2

(2019) Deepak Upreti et al.   Remote Sensing

Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline

(2019) P.J. Zarco-Tejada et al.   REMOTE SENSING OF ENVIRONMENT

Essential biodiversity variables for mapping and monitoring species populations

(2019) Walter Jetz et al.   Nature Ecology & Evolution

Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth

(2019) Utsav B. Gewali et al.   Remote Sensing

Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery

(2019) Qiaoyun Xie et al.   International Journal of Applied Earth Observation and Geoinformation

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

Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient

(2019) Sandra M. Durán et al.   Science Advances

Physics-aware Gaussian processes in remote sensing

(2018) Gustau Camps-Valls et al.   APPLIED SOFT COMPUTING

Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

(2018) Jochem Verrelst et al.   SURVEYS IN GEOPHYSICS

Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study

(2018) Katja Berger et al.   Remote Sensing

A TPE based inversion of PROSAIL for estimating canopy biophysical and biochemical variables of oilseed rape

(2018) Shanqin Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Modeling Winter Wheat Leaf Area Index and Canopy Water Content With Three Different Approaches Using Sentinel-2 Multispectral Instrument Data

(2018)   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Modelling LiDAR derived tree canopy height from Landsat TM, ETM+ and OLI satellite imagery—A machine learning approach

(2018) Grant Staben et al.   International Journal of Applied Earth Observation and Geoinformation

A methodology to derive global maps of leaf traits using remote sensing and climate data

(2018) Álvaro Moreno-Martínez et al.   REMOTE SENSING OF ENVIRONMENT

Global Estimation of Biophysical Variables from Google Earth Engine Platform

(2018) Manuel Campos-Taberner et al.   Remote Sensing

PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle

(2017) J.-B. Féret et al.   REMOTE SENSING OF ENVIRONMENT

Mapping functional diversity from remotely sensed morphological and physiological forest traits

(2017) Fabian D. Schneider et al.   Nature Communications

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

How Essential Biodiversity Variables and remote sensing can help national biodiversity monitoring

(2017) Petteri Vihervaara et al.   Global Ecology and Conservation

Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval

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

Global sensitivity analysis of PROSAIL model parameters when simulating Moso bamboo forest canopy reflectance

(2016) Chengyan Gu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Visualizing the ill-posedness of the inversion of a canopy radiative transfer model: A case study for Sentinel-2

(2015) R. Zurita-Milla et al.   International Journal of Applied Earth Observation and Geoinformation

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

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

Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL Model

(2015) Matthias Locherer et al.   Remote Sensing

Retrieval of Biophysical Parameters With Heteroscedastic Gaussian Processes

(2013) Miguel Lazaro-Gredilla et al.   IEEE Geoscience and Remote Sensing Letters

Essential Biodiversity Variables

(2013) H. M. Pereira et al.   SCIENCE

Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model

(2013) Juan Rivera et al.   Remote Sensing

Optimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop Leaf Area Index Mapping

(2012) Katja Richter et al.   Remote Sensing

TRY - a global database of plant traits

(2011) J. KATTGE et al.   GLOBAL CHANGE BIOLOGY

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

(2011) D. Tuia et al.   IEEE Geoscience and Remote Sensing Letters

PROSPECT+SAIL models: A review of use for vegetation characterization

(2009) Stéphane Jacquemoud et al.   REMOTE SENSING OF ENVIRONMENT