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Evaluating Climate Change Impacts

1st edition, 2020

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Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale

Remote sensing (Basel, Switzerland), 2014, Vol.6 (10), p.10193-10214

2014

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Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica

Geosciences (Basel), 2023-03, Vol.13 (3), p.64

2023

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Model-Based Forecasting of Agricultural Crop Disease Risk at the Regional Scale, Integrating Airborne Inoculum, Environmental, and Satellite-Based Monitoring Data

Frontiers in environmental science, 2018-06, Vol.6

Newlands, Nathaniel K.

2018

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Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

Newlands, Nathaniel K

1, 2016

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ENSO Impacts on Jamaican Rainfall Patterns: Insights from CHIRPS High-Resolution Data for Disaster Risk Management

GeoHazards, 2024-03, Vol.5 (1), p.91-111

2024

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Disease Risk Forecasting with Bayesian Learning Networks: Application to Grape Powdery Mildew (Erysiphe necator) in Vineyards

Agronomy (Basel), 2020-05, Vol.10 (5), p.622

2020

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Statistical Modeling of Soil Moisture, Integrating Satellite Remote-Sensing (SAR) and Ground-Based Data

Remote sensing (Basel, Switzerland), 2015-03, Vol.7 (3), p.2752-2780

2015

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An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty

Frontiers in environmental science, 2014-06, Vol.2

2014

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A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty

Computers & chemical engineering, 2017-02, Vol.97, p.114-123

2017

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Editorial: Building and Delivering Real-World, Integrated Sustainability Solutions: Insights, Methods and Case-Study Applications

Frontiers in environmental science, 2019-05, Vol.7

2019

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Environmental data science: Part 2

Environmetrics (London, Ont.), 2023-03, Vol.34 (2), p.n/a

2023

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Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes

North American actuarial journal, 2019-10, Vol.23 (4), p.535-550

2019

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Insurance risk assessment in the face of climate change: Integrating data science and statistics

Wiley interdisciplinary reviews. Computational statistics, 2019-07, Vol.11 (4), p.e1462-n/a

2019

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Assessing the Performance of Satellite-Based Models for Crop Yield Estimation in the Canadian Prairies

Canadian journal of remote sensing, 2023-09, Vol.49 (1)

2023

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Integrated sensing of soil moisture at the field-scale: Measuring, modeling and sharing for improved agricultural decision support

Computers and electronics in agriculture, 2014-09, Vol.107, p.73-88

2014

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ENSO climate risk: predicting crop yield variability and coherence using cluster-based PCA

Modeling earth systems and environment, 2017-12, Vol.3 (4), p.1343-1359

2017

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Spatial Correlations Don't Predict Changes in Agricultural Ecosystem Services: A Canada-Wide Case Study

Frontiers in sustainable food systems, 2020-11, Vol.4

2020

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A novel workflow for streamflow prediction in the presence of missing gauge observations

Environmental Data Science, 2023, Vol.2, Article e23

2023

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Building and Delivering Sustainability Solutions: Insights, Methods, and Case-Studies

2019

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Modeling regional impacts of climate teleconnections using functional data analysis

Environmental and ecological statistics, 2014-03, Vol.21 (1), p.1-26

2014

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Validation and inter-comparison of three methodologies for interpolating daily precipitation and temperature across Canada

Environmetrics (London, Ont.), 2011-03, Vol.22 (2), p.205-223

2011

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Statistical modeling and forecasting of fruit crop phenology under climate change

Environmetrics (London, Ont.), 2014-12, Vol.25 (8), p.621-629

2014

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Encoding Dependence in Bayesian Causal Networks

Frontiers in environmental science, 2017-01, Vol.4

2017

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A coupled stochastic/deterministic model to estimate the evolution of the risk of water contamination by pesticides across Canada

Integrated environmental assessment and management, 2014-07, Vol.10 (3), p.429-436

2014

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Evaluating Climate Change Impacts

Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale

Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica

Model-Based Forecasting of Agricultural Crop Disease Risk at the Regional Scale, Integrating Airborne Inoculum, Environmental, and Satellite-Based Monitoring Data

Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

ENSO Impacts on Jamaican Rainfall Patterns: Insights from CHIRPS High-Resolution Data for Disaster Risk Management

Disease Risk Forecasting with Bayesian Learning Networks: Application to Grape Powdery Mildew (Erysiphe necator) in Vineyards

Statistical Modeling of Soil Moisture, Integrating Satellite Remote-Sensing (SAR) and Ground-Based Data

An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty

A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty

Editorial: Building and Delivering Real-World, Integrated Sustainability Solutions: Insights, Methods and Case-Study Applications

Environmental data science: Part 2

Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes

Insurance risk assessment in the face of climate change: Integrating data science and statistics

Assessing the Performance of Satellite-Based Models for Crop Yield Estimation in the Canadian Prairies

Integrated sensing of soil moisture at the field-scale: Measuring, modeling and sharing for improved agricultural decision support

ENSO climate risk: predicting crop yield variability and coherence using cluster-based PCA

Spatial Correlations Don't Predict Changes in Agricultural Ecosystem Services: A Canada-Wide Case Study

A novel workflow for streamflow prediction in the presence of missing gauge observations

Building and Delivering Sustainability Solutions: Insights, Methods, and Case-Studies

Modeling regional impacts of climate teleconnections using functional data analysis

Validation and inter-comparison of three methodologies for interpolating daily precipitation and temperature across Canada

Statistical modeling and forecasting of fruit crop phenology under climate change

Encoding Dependence in Bayesian Causal Networks

A coupled stochastic/deterministic model to estimate the evolution of the risk of water contamination by pesticides across Canada

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