Comparison of Machine Learning Techniques in Inferring Phytoplankton Size Classes

An improved variable selection method for support vector regression in NIR spectral modeling

(2018) Shu Xu et al.   JOURNAL OF PROCESS CONTROL

Improving Spectral Estimation of Soil Organic Carbon Content through Semi-Supervised Regression

(2017) Huizeng Liu et al.   Remote Sensing

Successive projections algorithm-based three-band vegetation index for foliar phosphorus estimation

(2016) Junjie Wang et al.   ECOLOGICAL INDICATORS

Comparison of MERIS, MODIS, SeaWiFS-derived particulate organic carbon, andin situmeasurements in the South China Sea

(2016) S.B. Hu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

(2015) Kennedy Were et al.   ECOLOGICAL INDICATORS

Soil Organic Carbon Content Estimation with Laboratory-Based Visible–Near-Infrared Reflectance Spectroscopy: Feature Selection

(2014) Tiezhu Shi et al.   APPLIED SPECTROSCOPY

Novel method for quantifying the cell size of marine phytoplankton based on optical measurements

(2014) Junfang Lin et al.   OPTICS EXPRESS

Multivariate approach for the retrieval of phytoplankton size structure from measured light absorption spectra in the Mediterranean Sea (BOUSSOLE site)

(2013) Emanuele Organelli et al.   APPLIED OPTICS

Generalized ocean color inversion model for retrieving marine inherent optical properties

(2013) P. Jeremy Werdell et al.   APPLIED OPTICS

Comparison of two methods to derive the size-structure of natural populations of phytoplankton

(2013) Robert J.W. Brewin et al.   DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS

An approach for developing Landsat-5 TM-based retrieval models of suspended particulate matter concentration with the assistance of MODIS

(2013) Guofeng Wu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deriving phytoplankton size classes from satellite data: Validation along a trophic gradient in the eastern Atlantic Ocean

(2013) Vanda Brotas et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of phytoplankton size fractions based on spectral features of remote sensing ocean color data

(2013) Zuchuan Li et al.   JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS

Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY

(2012) Sanglim Yoo et al.   LANDSCAPE AND URBAN PLANNING

Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference

(2011) Chuanmin Hu et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Cluster analysis of hyperspectral optical data for discriminating phytoplankton pigment assemblages in the open ocean

(2011) Elena Torrecilla et al.   REMOTE SENSING OF ENVIRONMENT

A three-component model of phytoplankton size class for the Atlantic Ocean

(2010) Robert J.W. Brewin et al.   ECOLOGICAL MODELLING

Optical determination of phytoplankton size composition from global SeaWiFS imagery

(2010) Colleen B. Mouw et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Identifying four phytoplankton functional types from space: An ecological approach

(2010) Dionysios E. Raitsos et al.   LIMNOLOGY AND OCEANOGRAPHY

Relating phytoplankton photophysiological properties to community structure on large scales

(2010) Julia Uitz xUitz et al.   LIMNOLOGY AND OCEANOGRAPHY

An intercomparison of bio-optical techniques for detecting dominant phytoplankton size class from satellite remote sensing

(2010) Robert J.W. Brewin et al.   REMOTE SENSING OF ENVIRONMENT

Retrieval of the particle size distribution from satellite ocean color observations

(2009) T. S. Kostadinov et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Remote sensing of phytoplankton functional types

(2008) Anitha Nair et al.   REMOTE SENSING OF ENVIRONMENT

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT

An absorption model to determine phytoplankton size classes from satellite ocean colour

(2008) T. Hirata et al.   REMOTE SENSING OF ENVIRONMENT