A survey on Gaussian processes for earth-observation data analysis: A comprehensive investigation

G Camps-Valls, J Verrelst, J Munoz-Mari… - … and Remote Sensing …, 2016 - ieeexplore.ieee.org
Gaussian processes (GPs) have experienced tremendous success in biogeophysical
parameter retrieval in the last few years. GPs constitute a solid Bayesian framework to …

Earth system science related imaging spectroscopy—An assessment

ME Schaepman, SL Ustin, AJ Plaza, TH Painter… - Remote Sensing of …, 2009 - Elsevier
The science of spectroscopy has existed for more than three centuries, and imaging
spectroscopy for the Earth system for three decades. We first discuss the historical …

[图书][B] Remote sensing of vegetation: principles, techniques, and applications

HG Jones, RA Vaughan - 2010 - books.google.com
Remote sensing is becoming an increasingly important tool for agriculturalists, ecologists,
and land managers for the study of Earth's agricultural and natural vegetation, and can be …

Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation

J Huang, F Sedano, Y Huang, H Ma, X Li… - Agricultural and Forest …, 2016 - Elsevier
The scale mismatch between remote sensing observations and state variables simulated by
crop growth models decreases the reliability of crop yield estimates. To overcome this …

Multi-temporal MODIS–Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data

DP Roy, J Ju, P Lewis, C Schaaf, F Gao… - Remote Sensing of …, 2008 - Elsevier
A semi-physical fusion approach that uses the MODIS BRDF/Albedo land surface
characterization product and Landsat ETM+ data to predict ETM+ reflectance on the same …

Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring

M Campos-Taberner, FJ García-Haro… - Remote Sensing of …, 2016 - Elsevier
This paper presents an operational chain for high-resolution leaf area index (LAI) retrieval
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …

Improving land surface models with FLUXNET data

M Williams, AD Richardson, M Reichstein… - …, 2009 - bg.copernicus.org
There is a growing consensus that land surface models (LSMs) that simulate terrestrial
biosphere exchanges of matter and energy must be better constrained with data to quantify …

Evaluation of regional estimates of winter wheat yield by assimilating three remotely sensed reflectance datasets into the coupled WOFOST–PROSAIL model

J Huang, H Ma, F Sedano, P Lewis, S Liang… - European journal of …, 2019 - Elsevier
To estimate regional-scale winter wheat (Triticum aestivum) yield, we developed a data-
assimilation scheme that assimilates remotely sensed reflectance into a coupled crop …

Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data

Y Chen, Z Zhang, F Tao - European journal of agronomy, 2018 - Elsevier
Crop yield estimation at regional scale using crop model is generally subjected to large
uncertainties from insufficient spatial information on heterogeneous growth environment and …

Ecological forecasting and data assimilation in a data‐rich era

Y Luo, K Ogle, C Tucker, S Fei, C Gao… - Ecological …, 2011 - Wiley Online Library
Several forces are converging to transform ecological research and increase its emphasis
on quantitative forecasting. These forces include (1) dramatically increased volumes of data …