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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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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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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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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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Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

Newlands, Nathaniel K

1, 2016

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

2019

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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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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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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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Probabilistic yield forecasting of robusta coffee at the farm scale using agroclimatic and remote sensing derived indices

Agricultural and forest meteorology, 2021-08, Vol.306, p.108449, Article 108449

2021

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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

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

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

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

Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

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

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

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

Modeling regional impacts of climate teleconnections using functional data analysis

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

Probabilistic yield forecasting of robusta coffee at the farm scale using agroclimatic and remote sensing derived indices

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