The global food‐energy‐water nexus
Water availability is a major factor constraining humanity's ability to meet the future food and
energy needs of a growing and increasingly affluent human population. Water plays an …
energy needs of a growing and increasingly affluent human population. Water plays an …
Smallholder maize area and yield mapping at national scales with Google Earth Engine
Accurate measurements of maize yields at field or subfield scales are useful for guiding
agronomic practices and investments and policies for improving food security. Data on …
agronomic practices and investments and policies for improving food security. Data on …
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping
Accurate crop mapping provides important and timely information for decision support on the
estimation of crop production at large scale. Most existing crop-specific cover products …
estimation of crop production at large scale. Most existing crop-specific cover products …
[HTML][HTML] Water modelling approaches and opportunities to simulate spatial water variations at crop field level
Considerable spatial variability in soil hydraulic properties exists within a field, even in those
considered homogeneous. Spatial variability of water as a major driver of crop heterogeneity …
considered homogeneous. Spatial variability of water as a major driver of crop heterogeneity …
A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level
Understanding large‐scale crop growth and its responses to climate change are critical for
yield estimation and prediction, especially under the increased frequency of extreme climate …
yield estimation and prediction, especially under the increased frequency of extreme climate …
A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the US Corn Belt
Crop yield maps estimated from satellite data increasingly are used to understand drivers of
yield trends and variability, yet satellite-derived regional maps are rarely compared with …
yield trends and variability, yet satellite-derived regional maps are rarely compared with …
Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning
Timely and accurately estimating smallholder crop yield is essential for optimizing
agronomic management, guiding investment and policy-making to reduce poverty and …
agronomic management, guiding investment and policy-making to reduce poverty and …
Where is the USA Corn Belt, and how is it changing?
Abstract The “Corn Belt” is a commonly used term, but often referenced as a vaguely defined
region in the Midwest USA. A few key studies have delineated synoptic maps of the Corn …
region in the Midwest USA. A few key studies have delineated synoptic maps of the Corn …
Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches
Fast, accurate and inexpensive estimates of crop yields at the field scale are useful for many
applications. Based on the Google Earth Engine (GEE) platform, we recently developed a …
applications. Based on the Google Earth Engine (GEE) platform, we recently developed a …
Using satellite data to identify the causes of and potential solutions for yield gaps in India's Wheat Belt
Food security will be increasingly challenged by climate change, natural resource
degradation, and population growth. Wheat yields, in particular, have already stagnated in …
degradation, and population growth. Wheat yields, in particular, have already stagnated in …