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An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing

International journal of applied earth observation and geoinformation, 2020-06, Vol.88, p.102051, Article 102051

2020

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A multi-decadal 1 km gridded database of continental-scale spring onset products

Scientific data, 2024-08, Vol.11 (1), p.905-11

2024

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Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States

International journal of climatology, 2018-11, Vol.38 (14), p.5430-5440

2018

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A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture

Remote sensing (Basel, Switzerland), 2017-10, Vol.9 (10), p.1048-1048

2017

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Evaluating the Performance of a Random Forest Kernel for Land Cover Classification

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (5), p.575

2019

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Development and analysis of spring plant phenology products: 36 years of 1-km grids over the conterminous US

Agricultural and forest meteorology, 2018-11, Vol.262, p.34-41

2018

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Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features

ISPRS international journal of geo-information, 2022-04, Vol.11 (4), p.242

2022

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Identifying Environmental and Human Factors Associated With Tick Bites using Volunteered Reports and Frequent Pattern Mining

Transactions in GIS, 2017-04, Vol.21 (2), p.277-299

2017

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Modelling tick bite risk by combining random forests and count data regression models

PloS one, 2019-12, Vol.14 (12), p.e0216511-e0216511

2019

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Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island

International journal of geographical information science : IJGIS, 2022-12, Vol.36 (12), p.2473-2495

2022

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A Multiscale Random Forest Kernel for Land Cover Classification

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.2842-2852

2020

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A Matlab© toolbox for calculating spring indices from daily meteorological data

Computers & geosciences, 2015-10, Vol.83, p.46-53

2015

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A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems

Remote sensing (Basel, Switzerland), 2018-05, Vol.10 (5), p.729

2018

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Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring

International journal of applied earth observation and geoinformation, 2013-08, Vol.23, p.132-141

2013

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Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series

Remote sensing (Basel, Switzerland), 2021-03, Vol.13 (5), p.974

2021

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Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (12), p.1489

2019

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Modeling Crop Yield in West‐African Rainfed Agriculture Using Global and Local Spatial Regression

Agronomy journal, 2013-07, Vol.105 (4), p.1177-1188

2013

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Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining

International journal of digital earth, 2017-03, Vol.10 (3), p.238-256

2017

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Geographic information system–based fuzzy-logic analysis for petroleum exploration with a case study of northern South America

AAPG bulletin, 2012-11, Vol.96 (11), p.2121-2142

2012

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Developing a Workflow to Identify Inconsistencies in Volunteered Geographic Information: A Phenological Case Study

PloS one, 2015-10, Vol.10 (10), p.e0140811-e0140811

2015

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Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets

ISPRS international journal of geo-information, 2019-01, Vol.8 (2), p.55

2019

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Modelling and mapping tick dynamics using volunteered observations

International journal of health geographics, 2017-11, Vol.16 (1), p.41-15, Article 41

2017

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A novel analysis of spring phenological patterns over Europe based on co‐clustering

Journal of geophysical research. Biogeosciences, 2016-06, Vol.121 (6), p.1434-1448

2016

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Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer

Remote sensing of environment, 2013-04, Vol.131, p.85-102

2013

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Spatial+: A new cross-validation method to evaluate geospatial machine learning models

International journal of applied earth observation and geoinformation, 2023-07, Vol.121, p.103364, Article 103364

2023

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An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing

A multi-decadal 1 km gridded database of continental-scale spring onset products

Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States

A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture

Evaluating the Performance of a Random Forest Kernel for Land Cover Classification

Development and analysis of spring plant phenology products: 36 years of 1-km grids over the conterminous US

Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features

Identifying Environmental and Human Factors Associated With Tick Bites using Volunteered Reports and Frequent Pattern Mining

Modelling tick bite risk by combining random forests and count data regression models

Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island

A Multiscale Random Forest Kernel for Land Cover Classification

A Matlab© toolbox for calculating spring indices from daily meteorological data

A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems

Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring

Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series

Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575

Modeling Crop Yield in West‐African Rainfed Agriculture Using Global and Local Spatial Regression

Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining

Geographic information system–based fuzzy-logic analysis for petroleum exploration with a case study of northern South America

Developing a Workflow to Identify Inconsistencies in Volunteered Geographic Information: A Phenological Case Study

Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets

Modelling and mapping tick dynamics using volunteered observations

A novel analysis of spring phenological patterns over Europe based on co‐clustering

Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer

Spatial+: A new cross-validation method to evaluate geospatial machine learning models

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