Noemi Vergopolan
Noemi Vergopolan
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A comprehensive assessment of in situ and remote sensing soil moisture data assimilation in the APSIM model for improving agricultural forecasting across the U.S. Midwest
This study provides a framework for direct integration of soil moisture observations collected from soil sensors and satellite imagery into process-based crop models for improving the representation of agricultral systems. The performance of this framework was evaluated across 19 site-years for crop yield, NDVI, soil moisture, tile flow drainage and nitrate leaching.
Marissa Kivi
,
Noemi Vergopolan
,
Hamze Dokoohaki
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DOI
Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields
Drought monitoring and yield prediction often rely on coarse-scale hydroclimate data or (infrequent) vegetation indexes that do not always indicate the conditions farmers face in the field. Consequently, decision-making based on these indices can often be disconnected from the farmer reality. Our study focuses on smallholder farming systems in data-sparse developing countries, and it shows how field-scale soil moisture can leverage and improve crop yield prediction and drought impact assessment.
Noemi Vergopolan
,
Sitian Xiong
,
Lyndon Estes
,
Niko Wanders
,
Nathaniel W. Chaney
,
Eric F. Wood
,
Megan Konar
,
Kelly Caylor
,
Hylke E. Beck
,
Nicolas Gatti
,
Tom Evans
,
Justin Sheffield
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DOI
Field-scale Crop Yield Prediction
Satellite observations, physical models, and machine learning combined can enable crop yield prediction at high spatial resolution at data-scarse regions. Learn more about it
here
.
Last updated on Sep 11, 2023
From Hydroclimate Data to Science-Informed Decisions
Integrating computational models and hydroclimate data for actionable agriculture decision-making. Towards resilience and adaptability in a changing climate.
Last updated on Sep 11, 2023
Cognitive Biases about Climate Variability in Smallholder Farming Systems in Zambia
Given the varying manifestations of climate change over time and the influence of climate perceptions on adaptation, it is important to …
Kurt B. Waldman
,
Noemi Vergopolan
,
Shahzeen Z. Attari
,
Justin Sheffield
,
Lyndon D. Estes
,
Kelly K. Caylor
,
Tom P. Evans
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DOI
Comparing empirical and survey-based yield forecasts in a dryland agro-ecosystem
Accurate crop yield forecasts before harvest are crucial for providing early warning of agricultural losses, so that policy-makers can …
Yi Zhao
,
Noemi Vergopolan
,
Kathy Baylis
,
Jordan Blekking
,
Kelly Caylor
,
Tom Evans
,
Stacey Giroux
,
Justin Sheffield
,
Lyndon Estes
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