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Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States

Global change biology, 2019-07, Vol.25 (7), p.2325-2337

2019

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Benefits of Seasonal Climate Prediction and Satellite Data for Forecasting U.S. Maize Yield

Geophysical research letters, 2018-09, Vol.45 (18), p.9662-9671

2018

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Satellite sun‐induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo‐Gangetic Plains

Global change biology, 2018-09, Vol.24 (9), p.4023-4037

2018

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Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

Agricultural and forest meteorology, 2019-08, Vol.274, p.144-159

2019

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Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand

Nature communications, 2021-09, Vol.12 (1), p.5549-10, Article 5549

2021

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Spatially-explicit monitoring of crop photosynthetic capacity through the use of space-based chlorophyll fluorescence data

Remote sensing of environment, 2018-06, Vol.210, p.362-374

2018

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Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests

The New phytologist, 2016-10, Vol.212 (1), p.80-95

2016

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Improving the monitoring of crop productivity using spaceborne solar‐induced fluorescence

Global change biology, 2016-02, Vol.22 (2), p.716-726

2016

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Estimating photosynthetic traits from reflectance spectra: A synthesis of spectral indices, numerical inversion, and partial least square regression

Plant, cell and environment, 2020-05, Vol.43 (5), p.1241-1258

2020

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Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms

Frontiers in plant science, 2019-06, Vol.10, p.730

2019

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Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S

Field crops research, 2019-03, Vol.234, p.55-65

2019

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Interactions between urban heat islands and heat waves

Environmental research letters, 2018-03, Vol.13 (3), p.34003

2018

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Highland cropland expansion and forest loss in Southeast Asia in the twenty-first century

Nature geoscience, 2018-08, Vol.11 (8), p.556-562

2018

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Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction

International journal of applied earth observation and geoinformation, 2020-08, Vol.90, p.102126, Article 102126

2020

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High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity

Remote sensing of environment, 2019-09, Vol.231 (C), p.111176, Article 111176

2019

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Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates

Nature communications, 2023-02, Vol.14 (1), p.765-13, Article 765

2023

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Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy

Journal of experimental botany, 2021-02, Vol.72 (2), p.341-354

2021

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Improving field boundary delineation in ResUNets via adversarial deep learning

International journal of applied earth observation and geoinformation, 2022-08, Vol.112, p.102877, Article 102877

2022

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Photosynthetic seasonality of global tropical forests constrained by hydroclimate

Nature geoscience, 2015-04, Vol.8 (4), p.284-289

2015

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Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

Science (American Association for the Advancement of Science), 2016-02, Vol.351 (6276), p.972-976

2016

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Plot-level rapid screening for photosynthetic parameters using proximal hyperspectral imaging

Journal of experimental botany, 2020-04, Vol.71 (7), p.2312-2328

2020

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Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model

Geophysical research letters, 2018-12, Vol.45 (23), p.12,892-12,902

2018

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Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis

Global change biology, 2021-05, Vol.27 (10), p.2144-2158

2021

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FluoSpec 2-An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence

Sensors (Basel, Switzerland), 2018-06, Vol.18 (7), p.2063

2018

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Divergent responses of maize yield to precipitation in the United States

Environmental research letters, 2022-01, Vol.17 (1), p.14016

2022

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Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States

Benefits of Seasonal Climate Prediction and Satellite Data for Forecasting U.S. Maize Yield

Satellite sun‐induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo‐Gangetic Plains

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand

Spatially-explicit monitoring of crop photosynthetic capacity through the use of space-based chlorophyll fluorescence data

Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests

Improving the monitoring of crop productivity using spaceborne solar‐induced fluorescence

Estimating photosynthetic traits from reflectance spectra: A synthesis of spectral indices, numerical inversion, and partial least square regression

Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms

Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S

Interactions between urban heat islands and heat waves

Highland cropland expansion and forest loss in Southeast Asia in the twenty-first century

Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction

High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity

Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates

Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy

Improving field boundary delineation in ResUNets via adversarial deep learning

Photosynthetic seasonality of global tropical forests constrained by hydroclimate

Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

Plot-level rapid screening for photosynthetic parameters using proximal hyperspectral imaging

Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model

Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis

FluoSpec 2-An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence

Divergent responses of maize yield to precipitation in the United States

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